FREE Masterclass on 'How to Build a Career in Data Science and AI in 2023' on Fri 31st Mar (8 PM).

  Save Your Spot
Upcoming Events
Past Events
  • Join us for a Free Masterclass on "How To Build A Career in Data Science and AI, by IIT Roorkee". This 2-hour online event is designed to provide you with a comprehensive overview of Data Science and AI, including their applications, techniques, and tools. You will also get an overview of Machine Learning, the types of ML algorithms and use cases of ML. In addition, you will get insights into Data Engineering, and Artificial Intelligence. You will have the opportunity to learn from experienced professionals in the field and gain valuable insights into how to build a successful career in Data Science and AI. Whether you are a student, a professional, or simply interested in learning more about these exciting fields, this masterclass is the perfect opportunity to enhance your knowledge and skills. Register now and take the first step towards unlocking your potential in Data Science and AI.

    Key takeaways:-

    • Learn about the fundamentals of Data Science and AI and how they are applied in different industries.
    • Gain insights into the latest trends and technologies shaping the field of Data Science and AI.
    • Discover various tools and techniques used by professionals in the industry to analyze and visualize data.
    • Understand how to build a successful career in Data Science and AI and what skills are required to succeed in the field.
    • Network with other like-minded individuals and connect with experienced professionals in the industry.
    • An opportunity to ask questions and interact with our expert presenter on the topic.

    A Certificate of Participation will be provided by CloudxLab to all the attendees.

  • The recent breakthroughs in computing – (Chat)GPT and Text-to-Image Models – are reminiscent of Neil Armstrong’s first step on the moon. And very much like HTTP and browsers in 1993 – watershed moments that democratized information exploration and discovery – generative AI holds the promise of democratizing profoundly sentient machines. Of course, design and data models will be as important as machine intelligence in differentiating accurate bots from those that ramble and “hallucinate.”

    Dheeraj Pandey recently mentioned: “AI is the new open source (read: oxygen). You can’t sell oxygen until you liquify it, package it in cylinders, and place them in hospitals and scuba diving clubs. The enterprise [software ecosystem] is a mundane place. The intuition for that mundane will be the only way to make Generative AI monetizable.”

    Agenda:

    • Introduction - About Speaker (Past and Present)
    • A brief overview of current state of AI
    • What does it mean by re-platforming?
    • How is DevRev.AI leveraging GPT and AI in general
    • Questions and Answers

    Let’s come learn with Dheeraj on how he is thinking about building the next generation of CRM with AI and data marketplace developers in mind. The business software landscape is in tatters, and acquisition band aids are not working, neither for customers nor for investors. Collaboration, analytics, and AI cannot be retrofitted as an afterthought. GPT will dramatically redefine the enterprise, and only a modern stack – cloud-native, analytics-heavy, serverless, search-first – will do justice to the power of artificial neural networks with a trillion parameters!

  • I asked ChatGPT to write the description for a webinar on the architecture of ChatGPT, and here is the result:

    enter image description here

    Isn't it amazing? Also, what chatGPT told is exactly what the webinar is all about. So, don't miss this exciting opportunity to learn about the latest developments in AI technology and how ChatGPT is poised to revolutionize the way we interact with machines.

    What will you learn?

    • The architecture of ChatGPT and its key components

    • A discussion of the training process for ChatGPT, including how it is able to generate human-like text

    • A look at some of the challenges and limitations of ChatGPT and how these can be addressed

    • Applications of ChatGPT in industries such as customer service, education, and entertainment
    • An understanding of the impact of ChatGPT on the future of natural language processing.

    • An opportunity to ask questions and interact with our expert presenter on the topic.

    Note: Basic Understanding of Machine Learning is required.

    The Certificate of Participation will be provided by CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, and C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered the easiest and most versatile language of all time among developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive into Data Analysis Using Python

    The agenda for this webinar is:

    • Introduction to Python
    • Introduction to Data Analysis using Python
    • Data Analysis - Examples /Applications
    • Demo
    • Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Are you curious about harnessing the power of AI to generate stunning images from text? Our upcoming webinar, "Learn How AI ( Stable Diffusion ) Generates Images from Text" is for you! Our expert speaker will dive into the technique of AI stable diffusion, explaining how it can be used to improve the quality of images generated from text. Through live demos and interactive Q&A, you'll learn how to apply this cutting-edge technology to your own projects. This webinar is perfect for developers, designers, and anyone interested in creating visually stunning content. Don't miss out on this opportunity to learn from the best, register now!

    Key takeaways:-

    • Overview of the concept of stable diffusion.
    • How Stable Diffusion model is trained with each component explained in detail.
    • Discussion of the various fields in which stable diffusion has been applied, such as social networks, epidemiology, and marketing.
    • Real-world examples and case studies of how stable diffusion has been used in different industries.
    • Consideration of the limitations of stable diffusion and future research opportunities in the field.
    • An opportunity to ask questions and interact with our expert presenter on the topic.

    The Certificate of Participation will be provided by CloudxLab to all the attendees.

  • In this Webinar, Our expert <a href="https://in.linkedin.com/in/girisandeep">Sandeep Giri</a>, Founder & CEO of <a href="https://cloudxlab.com">CloudxLab</a> will walk you through the steps to be followed to clear System Design Interview in 2023.

    Is it Necessary to know the system design?

    In most companies no single round after the screening round is an elimination round and the score is calculated on the basis of rubrics including the performance of all the rounds hence learning System Design is equally important as learning Data Structures and Algorithms (DSA).

    But What is System Design?

    System Design is the process of converting requirements into technical specifications, this process includes defining the architecture, interfaces, and components that are required to build scalable systems. To know more join the Free Webinar.

    Is System Design essential even for a fresher role?

    Apparently Yes, earlier System Design rounds were only for experienced candidates but these days even an entry-level role demands a good understanding of system design concepts.

    Key Takeaways:

    • What is there in a System Design Interview? What questions are asked?
    • What should be the approach to solve System Design questions?
    • How to prepare for a System Design Interview?
    • Tips and tricks to crack System Design interview

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Have you heard about ChatGPT? Yes, I am talking about the latest breakthrough in the world of Artificial Intelligence which has totally changed the vision of chatbots. But, the question is, what makes it so special and better than the previous chatbots?

    One of the reasons is Reinforcement Learning. ChatGPT uses Reinforcement Learning to respond more dynamically. Not only ChatGPT but, several modern technologies are using Reinforcement learning for several reasons. But, what is Reinforcement Learning?

    Reinforcement learning is a powerful and widely used approach to solving complex problems and optimizing decision-making in a variety of domains, including robotics, control systems, and natural language processing.

    In this webinar, we will provide a comprehensive introduction to the basic principles and concepts of reinforcement learning, as well as the key algorithms and techniques used to solve reinforcement learning tasks. By the end of this webinar, you will have a solid foundation in reinforcement learning and be well-prepared to start applying these techniques to your own projects.

    Most important, you will get an opportunity to ask questions and interact with our expert presenter on the topic.

    Key takeaways:-

    • What is Reinforcement Learning?

    • How do Reinforcement Learning solutions work?

    • What are the different types of reinforcement learning algorithms and their key features and characteristics?

    • How accuracy and reliability of the system can be increased by replicated learning?

    • What is deep Q-learning and its variant models?

    • Familiarity with the tools and libraries commonly used for reinforcement learning, such as OpenAI Gym, TensorFlowRL, and PyTorch.

    • How real-world technologies are using reinforcement learning to enhance their performance?

    • Tips and best practices for implementing reinforcement learning solutions.
    • An understanding of the key challenges and limitations of reinforcement learning and how they can be resolved?
    • An opportunity to ask questions and interact with our expert presenter on the topic.

    The Certificate of Participation will be provided by CloudxLab to all the attendees.

  • I asked ChatGPT to write the description for a webinar on the architecture of ChatGPT, and here is the result:

    enter image description here

    Isn't it amazing? Also, what chatGPT told is exactly what the webinar is all about. So, don't miss this exciting opportunity to learn about the latest developments in AI technology and how ChatGPT is poised to revolutionize the way we interact with machines.

    What will you learn?

    • The architecture of ChatGPT and its key components

    • A discussion of the training process for ChatGPT, including how it is able to generate human-like text

    • A look at some of the challenges and limitations of ChatGPT and how these can be addressed

    • Applications of ChatGPT in industries such as customer service, education, and entertainment
    • An understanding of the impact of ChatGPT on the future of natural language processing.

    • An opportunity to ask questions and interact with our expert presenter on the topic.

    Note: Basic Understanding of Machine Learning is required.

    The Certificate of Participation will be provided by CloudxLab to all the attendees.

  • In this Webinar, We will discuss the learning path of Data Structures and Algorithms(DSA) which is the first and most important step of cracking the coding interview in any top companies like Amazon, Google, Uber, Sprinkler, etc

    Data structures are important to learn because we have to organize the data in memory at every step and knowing about data structures helps us to choose and keep developing a better way of organizing data with respect to performance and memory usage For example Stack, linked list, etc.

    Algorithms are basically a set of instructions that tell the computer to perform specified calculations, We call an algorithm a good algorithm when it can perform the task more efficiently(with less space and time complexity) than others. For example Binary Search, BFS, DFS, etc.

    To write a good algorithm using good data structures we need to improve our ability to solve the problems by studying DSA and solving various problems, in this webinar we will be discussing what we actually need to learn.

    Key Takeaways:

    • What types of questions interviewer ask in the Coding round?
    • Important topics need to learn to clear DSA rounds.
    • What should be the approach to solve DSA questions?
    • How efficient should be the solution.
    • Tips and tricks to crack the coding interview.

    This Webinar will be all about what we need to learn to become a good Software Developer (SDE).

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, and C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered the easiest and most versatile language of all time among developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive into Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • In this webinar, we will discuss a System Design problem "How to Design Twitter", System Design has become an essential part of the interview process in most companies these days.

    We would learn to design API services like posting tweets, defining the data model required, etc.

    In most companies no single round after the screening round is an elimination round and the score is calculated on the basis of rubrics including the performance of all the rounds hence Learning System Design is equally important as learning Data Structures and Algorithms (DSA).

    But What is System Design?

    System Design is the process of converting requirements into technical specifications, this process includes defining the architecture, interfaces, and components that are required to build scalable systems. To know more join the Free Webinar.

    Is System Design essential even for a fresher role?

    Apparently Yes, earlier System Design rounds were only for experienced candidates but these days even an entry-level role demands a good understanding of system design concepts.

    Key Takeaways:

    • What is there in a System Design Interview? What questions are asked?
    • What should be the approach to solve System Design questions?
    • How to prepare for a System Design Interview?
    • Tips and tricks to crack System Design interview
    • How to build a popular large service like Twitter?

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Become a MAANG Engineer by 2023!

    Machine Learning is the most rapidly growing domain in the IT industry. More and more sectors are using concepts of Machine Learning for enhancing their businesses.

    It is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. But have you ever wondered what is the magic behind ML?

    The answer is mathematics. Mathematics is the core of designing ML algorithms that can automatically learn from data and make predictions. Therefore, it is very important to understand the Maths before going into a deep understanding of ML algorithms.

    As a part of this webinar, we will discuss the correlation between Machine Learning and Mathematics in detail. We will further look into its importance during the interviews for Machine Learning job role.

    Key Takeaways:

    • How to become a Machine Learning Engineer?
    • Why is mathematics important before diving into Machine Learning?
    • Which mathematical concepts are required and their use cases
    • What level of maths do you need?
    • Proper way of learning mathematics for Machine Learning
    • Tips and tricks to crack tech interviews in MAANG companies
    • Resources to follow

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Become a MAANG Engineer by 2023!

    Machine Learning is the most rapidly growing domain in the IT industry. More and more sectors are using concepts of Machine Learning for enhancing their businesses. This is the reason why the Machine Learning round is becoming a bit common during technical interviews. We encountered that when it comes to learning, there is plenty of content available to learn but most beginners get confused among various options and resources.

    In this webinar, we will discuss the step-by-step guide to follow to crack the Machine Learning round in a technical interview. We will also discuss on most common Machine Learning questions asked during the interview.

    Key Takeaways:

    • The hiring process in MAANG companies.
    • Why Machine Learning is important for technical job roles?
    • Strategy for preparing and appearing in MAANG interviews.
    • What type of Machine Learning questions can be expected in an interview?
    • What is the approach to solving the Machine Learning interview questions and how efficient the solution should be?
    • Tips and tricks to crack tech interviews in MAANG companies.
    • Resources to follow.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    As part of this masterclass, we will discuss:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • Webinar on Introduction to AI for Managers

    The webinar aims to offer a macro understanding of Artificial Intelligence & Machine Learning and its applications in the field of Management and Business.

    With the rise of AI and Machine Learning (ML) in business, the conventional method is changing to become more technology-driven. It has become more important than ever to understand the building blocks of AI and set the strategic technical direction for the entire team and the organization.

    There is a general perception that a lot of mathematics is required to learn AI. However, we believe that anybody can learn AI and apply that knowledge at work or, even in our day-to-day life.

    In this webinar, we will discuss:

    1. Introduction to AI for Managers
    2. Why AI and ML in the field of Management?
    3. Examples and Use Cases
    4. Why choose this course?
    5. Application Process for the course
    6. Q & A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • In this Hands-On Webinar, we will understand how we could dockerize a flask application based on microservices while deploying a Deep Learning model. Microservices architecture is one of the prominent and agile ways of building applications in the industry.

    Further, dockerizing an application is important in order to avoid compatibility issues of the app with various machines.

    In this webinar, you will learn the basics of how to dockerize a micro-services-based application. We would create containers for the microservices, and establish communication between these docker containers.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning, Deep Learning, AI, DevOps, and more here.

  • A full-stack engineer is basically a software engineer who can build the software end to end. Whether you are a machine learning engineer, data engineer, or fresher, understanding full-stack engineering is a must. This is the reason that maximum companies look for full-stack engineers.

    If you have been wondering how to start a career in full-stack engineering or software engineering in general, please join this webinar.

    As part of this webinar, we will discuss:

    1. What is full-stack development or software engineering?
    2. Is this career right for you?
    3. What are the expectations of companies from the candidate?
    4. How to prepare for such a career for an absolute beginner?

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Become a Machine Learning Engineer by 2023!

    In this webinar, we will talk about the roadmap or learning path we should follow to become a machine learning engineer in a short span of time. We encountered that when it comes to learning there is plenty of content available to learn but most beginners get confused among various options and resources, in this webinar we will discuss the step-by-step guide to follow to crack Machine-Learning-based interviews for job profiles such as Data Scientist, Machine Learning Engineer, AI Engineer or ML Researcher.

    Key Takeaways:

    • Prerequisites for learning machine learning concepts.
    • What a Machine learning Engineer actually does?
    • Adoption of AI/Machine Learning in Technology.
    • What is the scope of a Machine Learning Engineer?
    • How good one should be at Mathematics and Statistics?
    • What topics need to learn to become a Machine Learning Engineer?
    • How important is DSA (Data Structures & Algorithms) to crack machine learning engineer interviews?
    • Resources to follow

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, and C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this masterclass, we will be taking a deeper dive into Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • In this Masterclass, we will discuss System Design which has become an important part of the interview process in most companies these days.

    In most companies no single round after the screening round is an elimination round and the score is calculated on the basis of rubrics including the performance of all the rounds hence Learning System Design is equally important as learning Data Structures and Algorithms (DSA).

    But What is System Design?

    System Design is the process of converting requirements into technical specifications, this process includes defining the architecture, interfaces, and components that are required to build a scalable system. To know more join the free Masterclass.

    Is System Design important even for a fresher role?

    Apparently Yes, earlier System Design rounds were only for experienced candidates but these days even an entry-level role demands a good understanding of system design concepts.

    Key Takeaways:

    • What is there in a System Design Interview? What questions are asked?
    • What should be the approach to solve System Design questions?
    • How to prepare for a System Design Interview?
    • Tips and tricks to crack System Design interview.
    • How to build a popular large service like Instagram?

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • In this Webinar, We will discuss the learning path of Data Structures and Algorithms(DSA) which is the first and most important step of cracking the coding interview in any top companies like Amazon, Google, Uber, Sprinkler, etc

    Data structures are important to learn because we have to organize the data in memory at every step and knowing about data structures helps us to choose and keep developing a better way of organizing data with respect to performance and memory usage For example Stack, linked list, etc.

    Algorithms are basically a set of instructions that tell the computer to perform specified calculations, We call an algorithm a good algorithm when it can perform the task more efficiently(with less space and time complexity) than others. For example Binary Search, BFS, DFS, etc.

    To write a good algorithm using good data structures we need to improve our ability to solve the problems by studying DSA and solving various problems, in this webinar we will be discussing what we actually need to learn.

    Key Takeaways:

    • What types of questions interviewer ask in the Coding round?
    • Important topics need to learn to clear DSA rounds.
    • What should be the approach to solve DSA questions?
    • How efficient should be the solution.
    • Tips and tricks to crack the coding interview.

    This Webinar will be all about what we need to learn to become a good Software Developer (SDE).

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • A full-stack engineer is basically a software engineer who can build the software end to end. Whether you are a machine learning engineer, data engineer, or fresher, understanding full-stack engineering is a must. This is the reason that maximum companies look for full-stack engineers.

    If you have been wondering how to start a career in full-stack engineering or software engineering in general, please join this webinar.

    As part of this webinar, we will discuss:

    1. What is software engineering?
    2. Is Software Engineering a good career choice for you?
    3. What an organization expects from a candidate applying as a software engineer?
    4. How to prepare for Software Engineering Interview being an absolute beginner?

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • A full-stack engineer is basically a software engineer who can build the software end to end. Whether you are a machine learning engineer, data engineer, or fresher, understanding full-stack engineering is a must. This is the reason that maximum companies look for full-stack engineers.

    If you have been wondering how to start a career in full-stack engineering or software engineering in general, please join this webinar.

    As part of this webinar, we will discuss:

    1. What is full-stack development or software engineering?
    2. Is this career right for you?
    3. What are the expectations of companies from the candidate?
    4. How to prepare for such a career for an absolute beginner?

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive into Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • System Design is important because it provides sufficiently detailed data and information about the system to satisfy the given requirements.

    It is a common question in interviews to ask about how to build a popular service like Instagram, a cross-platform photo-sharing app used by billions. Chances are you're using the app right now! So, let's learn how to tackle such questions in the interview. With this background, the webinar aims to offer an understanding of system design and building Instagram.

    The agenda for this webinar is:

    1. What is a System Design Interview? What is asked?
    2. How to approach such types of interviews?
    3. How to prepare for them?
    4. Tips and tricks to perform well at system design interviews
    5. Build Instagram:
      • Define the problem statement and requirements
      • Build from scratch
      • Explore the scale of something so huge

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive into Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Webinar on Introduction to AI for Managers

    With the rise of AI and machine learning (ML) in business. The conventional method is changing to become more technology-driven. It has become more important than ever to understand the building blocks of AI and set the strategic technical direction for the entire team and the organization.

    There is a general perception is that a lot of mathematics is required to learn AI. However, we believe that anybody can learn AI and apply that knowledge at work or, even in our day-to-day life.

    With this background, the webinar aims to offer a macro understanding of AI & ML, and their applications in the field of management and business.

    In this webinar, the agenda for this webinar is:

    1. Introduction to AI for Managers
    2. Why AI and ML in the field of Management
    3. Examples and Use Cases
    4. Why choose this course?
    5. Application Process for the Course
    6. Q & A

    Check out our course on Executive Certificate Course on Advanced AI for Managers By IIT Roorkee here.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Webinar on Introduction to AI for Managers

    With the rise of AI and machine learning (ML) in business. The conventional method is changing to become more technology-driven. It has become more important than ever to understand the building blocks of AI and set the strategic technical direction for the entire team and the organization.

    There is a general perception is that a lot of mathematics is required to learn AI. However, we believe that anybody can learn AI and apply that knowledge at work or, even in our day-to-day life.

    With this background, the webinar aims to offer a macro understanding of AI & ML, and their applications in the field of management and business.

    In this webinar, the agenda for this webinar is:

    1. Introduction to AI for Managers
    2. Why AI and ML in the field of Management
    3. Examples and Use Cases
    4. Why choose this course?
    5. Application Process for the Course
    6. Q & A

    Check out our course on Executive Certificate Course on Advanced AI for Managers By IIT Roorkee here.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • With the rise of AI and machine learning (ML), the conventional quantitative methods of investing in financial markets stand at an extreme disadvantage. Particularly so because the advent of algorithmic low latency trading has completely changed the landscape of modern financial markets. AI and Machine learning algorithms are able to exploit the inefficiencies of financial markets within a fraction of a second. Therefore, in this battle of speed, technology, and efficiency, only those investors may be able to build capital that is equipped with the knowledge of the latest tools -that is, AI and ML.

    With this background, the webinar aims to offer a macro understanding of AI and ML applications in the field of investment management, through solving real-life financial market problems, using python programming.

    In this webinar, the agenda for this webinar is:

    1. Introduction to AI for Investments
    2. AI and ML applications in the field of investment management
    3. Examples
    4. Why choose this course?
    5. Application Process for the Course
    6. Q & A

    Check out our course on Executive Certificate Course on Advanced AI for Investments By IIT Roorkee here.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.


    Check out the Webinar Recording Here

    <iframe width="560" height="315" src="https://www.youtube.com/embed/fPqmePL49sA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Artificial Intelligence and Machine Learning are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.

    The Agenda of the Webinar:

    • Introduction to Artificial Intelligence and Machine Learning
    • Artificial Intelligence and Machine Learning - Examples
    • Artificial Intelligence and Machine Learning - Applications
    • Demo and Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • Dear Parent,

    We have an exciting announcement this event. We invite you to explore curiosity with us.

    Curiosity. It spurs us to think. It drives us to create. It makes us push boundaries and build what could only be imagined. Our children, your children, are extremely curious. They play with sand for hours, they juggle pieces of a puzzle, they explore, they build, only because they are curious. And with the right channeling of curiosity, they can be creators of dramatic proportions. But as parents, are we giving them a playing field to explore their curiosity?

    We, at DaVinci Jr, are resetting the learning field. We want your children to be active learners. We want them to be curious and create what holds their interest most. And with the new normal, what better than learning how to build an online game?

    Yes, your child can build a game with us, and learn concepts of coding, Math, visual design, Physics, and storytelling in the process. And you can empower them to build. Why not join us for a webinar to explore how you can design your child’s future.

    Learn more about DaVinci Jr at davincijr.com

  • The agenda for this webinar is:

    1. Introduction to Deep Learning and Neural Networks and its Application
    2. Introduction to Accelerators for Deep Learning
    3. Examples and Application of Accelerators for Deep Learning
    4. A brief about the course contents and industry relevance
    5. Why choose this course?
    6. Application Process for the Course
    7. Q & A

    Check out our course on Executive Course on Accelerators for Deep Learning By IIT Roorkee here.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • <iframe width="1440" height="762" src="https://www.youtube-nocookie.com/embed/RA8k8SIY18Q" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

    The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Python Applications
    3. Python - Examples and Demo
    4. Q&A
    5. Brief overview of Programs by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.

    The Agenda of the Webinar:

    • Introduction to Artificial Intelligence, Data Science and MLOps
    • Artificial Intelligence, Data Science and MLOps - Examples
    • Artificial Intelligence, Data Science and MLOps - Applications
    • Demo and Q&A
    • Brief overview of Executive PG Certificate Programs by IIT Roorkee

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Free Webinar on AI in Earth Sciences

    The field of Artificial Intelligence (AI) is influencing all domains that require inference and human decision-making. AI and its subfields of Machine Learning (ML) and Deep Learning (DL) can be applied to effectively and efficiently analyze the large volume of earth science data collected over decades. There are petabytes of freely available data from multiple organizations across the globe to be used for studying earth science including global change and the phenomenon directly impacting the health of the planet, its inhabitants, and the relationship between these. This webinar provides an introduction to AI in Earth Sciences and how it opens avenues to a new world of possibilities.

    Agenda of the webinar:

    • What is AI?
    • What is Earth Science?
    • Why use AI in Earth Sciences?
    • Where to find (free) global Earth Science Data?
    • How is AI being used in Earth Sciences?
    • Open Discussion and Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • If we look at the current trend in the market, it is very clear that every company is moving towards adopting AI, Data Science, and MLOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.

    The agenda for this webinar is:

    1. What is AI?
    2. What is Data Science?
    3. What is MLOps?
    4. Why AI, Data Science, and MLOps?
    5. How the AI approach to solving problems is different from the Traditional Approach
    6. Careers Paths in AI, Data Science, and MLOps
    7. Overview of the Job Market
    8. Brief overview of courses offered by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The agenda for this webinar is:

    1. AI market overview and use cases
    2. Challenges in development and deployment of Deep Learning
    3. Intel® Distribution of OpenVINO™ toolkit overview
    4. Expedite development of Deep Learning inference applications with Open Model Zoo
    5. Optimize and Quantize the models for better performance with the Model Optimizer
    6. Inference Engine
    7. Accelerators based on Intel® Movidius™ Vision Processing Unit
    8. Labs on Intel® DevCloud for the Edge
    9. CloudxLab ‘Developing Deep Learning Applications’ certification course overview
    10. Q&A

  • The Agenda of the Event:

    1. Introduction to the Session (About CloudxLab and IIT Roorkee)
    2. Introduction to PG Certificate Programs in Data Science, MLOps, Machine Learning and Deep Learning By IIT Roorkee
    3. Why choose this Program?
    4. Application Process for the Course
    5. Q & A

    Check out our Executive PG Certificate Programs By IIT Roorkee here.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • The agenda for this webinar is:

    1. Introduction to Deep Learning and Neural Networks and its Application
    2. Introduction to Accelerators for Deep Learning
    3. Examples and Application of Accelerators for Deep Learning
    4. A brief about the course contents and industry relevance
    5. Why choose this course?
    6. Application Process for the Course
    7. Q & A

    Check out our course on Executive Course on Accelerators for Deep Learning By IIT Roorkee here.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The Certificate of Participation will be provided from CloudxLab to all the attendees.

    The agenda for this webinar is:

    1. Are Data Structures & Algorithms really used in Industry?
    2. How to prepare & practice?
    3. Which topics to learn? (Learning Path)
    4. Brief overview of courses offered by CloudxLab

    Check out our courses on Machine Learning, Deep Learning, AI, DevOps, and more here.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The event is organized in collaboration with IEEE TCET.

    Agenda of the Webinar:

    1. What is Machine Learning
    2. Understanding ML process, Transfer Learning and Software Engineering,
    3. Understanding Cloud Computing, Training your models on Cloud via Containers
    4. Deploying Your models as service via Containers on Cloud.
    5. QnA

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The event is organized in collaboration with SIIC IIT Kanpur.

    In this webinar, we will deep dive into how the new approach is different from the existing approach to entrepreneurship.

    • Case Studies
    • Is AI/ML for me: What type of start-ups can leverage AI and ML
    • What business problems can be solved using AI & ML?
    • How AI & ML allows start-ups to scale quickly and efficiently
    • At what stage of the company building, a founder should think about AI & ML
    • How can a non-technical entrepreneur think of harnessing the power of AI/ML
    • Discuss resources/Data sets and challenges faced by startups in AI/ML
    • Cost benefits by integrating AI/ML

  • In this Hands-On Webinar, we will understand how we could dockerize a flask application based on microservices while deploying a Deep Learning model. Microservices architecture is one of the prominent and agile ways of building applications in the industry.

    Further, dockerizing an application is important in order to avoid compatibility issues of the app with various machines.

    In this webinar, you will learn the basics of how to dockerize a micro-services-based application. We would create containers for the microservices, and establish communication between these docker containers.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning, Deep Learning, AI, DevOps, and more here.

  • In this Hands-On Webinar. We will refactor the entire codebase of the project How to Deploy an Image Classification Model using Flask. That monolithic code will be refactored to form two microservices - the flask service and model service. The model service acts as a server that renders pretrained Tensorflow model as a deep learning API, and keeps listening for any incoming requests. The flask service requests the model service, and displays the response from the model server. This way, we write cleaner code and promote service isolation.

    Further, we will introduce an engineering technique, wherein we introduce the concept of asynchrony using ZMQ networking library, in order to reduce deep learning api response time and thus make the app faster in return. By integrating ZMQ with this client-server architecture, we improve the latency of this microservice-based app. Upon completing this project, we would optimize inference time to classify the input image, and make it a low-latency web application, thus making it deployable in real-time production environments.

    Blog : Improving the Performance of Deep-Learning based Flask App with ZMQ

    This project depends on another project: How to Deploy an Image Classification Model using Flask

    The Code YouTube Video

    Skills you will develop:

    1. Flask Framework
    2. Deep Learning
    3. ZMQ
    4. Python
    5. Tensorflow

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning and Deep Learning here.

  • In this Hands-On Webinar. We will start with a comprehensive understanding of how to deploy a deep learning model as a web application using the Flask framework.

    Developing a machine learning or deep learning model is very important to solve problems using AI. On the other hand, it is equally important to have a knowledge of how to deploy those amazing problem-solving models into such an interface which enables the users to make use of these solutions. Even many apps we use today, like YouTube, Amazon/Flipkart shopping, FaceApps(which predict our gender or age) make use of machine learning and deep learning, and we are able to interact with them using a web interface. So we need to understand how to integrate the models with a web interface so that the users - be them programmers or non-programmers or any other common users - could easily interact and obtain the solutions from these well-trained and well-performing models.

    In this project, we will understand how to develop a web interface using Flask for a pre-trained TensorFlow 2 model built for predicting the class of an input image.

    Skills you will develop:

    1. Flask Framework
    2. TensorFlow
    3. Python Programming

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning and Deep Learning here

  • In this Hands-On Webinar. We aim to impart the knowledge of how to access the pre-trained models(here we get pre-trained ResNet model) from Keras of TensorFlow 2, and appreciate its powerful classification capacity by making the model predict the class of an input image.

    Understanding the pre-trained models is very important because this forms the basis of transfer learning. one of the most appreciated techniques to perform the classification of a different task thus reducing the training time, the number of iterations, and resource consumption. Learning about the pre-trained models and working hands-on with such models is thus very crucial in deep learning, and the same is the aim of this project.

    Skills you will develop:

    1. TensorFlow 2
    2. Python Programming
    3. Deep Learning

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning and Deep Learning here

  • In this Hands-On Webinar. You would start by learning how to load a dataset, visualize it, fill in the missing values, create pipelines, handle categorical variables, train models based on that data, and finally predict using that model.

    This will not only help you understand how to train a machine learning model, but will also give you a detailed idea of how to clean and prepare data for machine learning, train the model, and fine-tune it in real-life projects.

    Skills you will develop:

    1. scikit-learn
    2. Data visualization
    3. Treating missing values in the dataset
    4. Handling categorical variable
    5. Creating transformation pipelines
    6. Training Machine Learning models

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

    Check out our courses on Machine Learning here

  • Machine Learning usage in the industry is fairly nascent with most practitioners gaining expertise through online courses and working mostly within the confines of a colab. When the same practitioner is tasked with designing  and deploying their first ML system, they often make the mistake of focusing entirely on the model development part and their local development environment where training rather than inference is the bottleneck; resulting in culture shock and a steep learning curve getting the model deployed to production

    The objective of this webinar is to prepare the practitioner for the inevitable culture shock and minimize the learning curve by instilling production best practices that tech giants adhere to. We will present a detailed overview of the design and architectural choices behind Uber's Michelangelo: The full-stack ML ecosystem empowering hundreds of engineers and analysts to deploy thousands of models daily.

    A certificate of participation will be provided for this session.

  • If we look at the current trend in the market, it is very clear that every company is moving towards adapting Data Science, AI, Machine Learning, or DevOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.

    The agenda for this webinar is:

    1. What is Data Science?
    2. What is AI?
    3. What is Machine Learning?
    4. What is DevOps?
    5. Why Data Science/Machine Learning/DevOps?
    6. How the Machine Learning approach to solving problems is different from the Traditional Approach
    7. Careers Paths in Data Science, AI, Machine Learning, and DevOps
    8. Overview of the Job Market
    9. Brief overview of courses offered by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Free Webinar on Introduction to Big Data

    The agenda for this webinar is:

    1. What is Big Data & why is it important
    2. Big Data - examples and applications
    3. Hadoop ecosystem & details of various components
    4. Hands-on with the components in Hadoop
    5. Understanding the Spark architecture Demo and Q&A
    6. Brief overview of Certification courses offered by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Free Webinar on Data Science For Everyone

    Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.

    The agenda for this webinar is:

    1. Introduction to Data Science, Machine Learning and AI
    2. Data Science, Machine Learning and AI - Examples
    3. Data Science, Machine Learning and AI - Applications
    4. Demo and Q&A
    5. Brief overview of Certification courses offered by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.

    The agenda for this webinar is:

    1. Overview of Machine Learning
    2. Basics of Deep Learning
    3. What is computer vision and its use-cases?
    4. Various algorithms used in Computer Vision
    5. Live Hands-on with Yolov4 and OpenCV

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Interviews can be tough and confusing with ever-changing formats. Most top software companies have changed their format of interviews for hiring Machine Learning Engineer positions in the past few years. Tune in with us where we deep dive towards this new format of interviews.

    Today, MNCs usually have the following interview rounds:

    • Coding
    • Machine Learning
    • Back End Designs (System Design and Distributed Computing)
    • Behavioral

    As part of this discussion, you will learn how to prepare for each of the rounds and experience an Exclusive Mock Interview Session to help build your confidence as you tag along evaluating yourself as we go through it.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • CloudxLab Data Science Blogathon

    “Indeed, learning to write may be part of learning to read. For all I know, writing comes out of a superior devotion to reading.” — Eudora Welty

    We are delighted to announce CloudxLab’s Data Science Blogathon, a competition to search for our future bloggers!

    Through this contest, you will not only get a platform to showcase your knowledge with the world, but you will also get rewarded for the same. We are looking for bloggers with a technological edge, you can write about a wide range of topics as listed below:

    • Machine Learning
    • Deep Learning
    • Big Data
    • DevOps

    How to participate?

    Simple! Just follow the below guidelines:

    • Register Yourself on this Page
    • Write a blog post on your personal blog related to any of the above topics (The blog post should not be plagiarized)
    • Publish your blog post on your own blog or any social media channels
    • Share the link to your blog post on your favorite social media website (Facebook, LinkedIn, Twitter) with the hashtag #CloudxLabBlogathon
    • Come back to the email sent on registration, and fill this form with your personal information, a link to your blog post, and to the social media post
    • The competition will close on 24th April 2021, post which we will decide on the winners based on the quality of their blog post, the number of Likes/Shares/Retweets of their post till 25th April 2021

    What are the Rewards?

    Here is the exciting part!

    • You will have lifetime FREE access to one of our paid self-paced CloudxLab Courses
    • You will receive a certificate of participation from CloudxLab (On Successful Submission on the Blogpost)
    • We will induct you with CloudxLab as our official PAID blogger. You will write for us on our official blog thus showcasing your profile to millions across the world, and get paid while doing it

    When will we declare the Winners?

    The winners will be announced on April 27th.

    Even though you need to submit your article by 11.59 pm (IST) on April 24th, the engagement for your article will count until April 25th, 11.59 pm (IST). So keep sharing your article after it's been published to increase your chances of winning!

    So what are you waiting for, start writing and start sharing!

  • Free Webinar on Introduction to DevOps

    DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance efficiency.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • Most top software companies have changed their format of interviews for hiring senior software engineer positions.

    In this new format of interviews, the company usually have the following interview rounds:

    • Coding
    • Machine Learning
    • Back End Designs (System Design and Distributed Computing)
    • Behavioral

    As part of this discussion, you will learn how to prepare for each of the rounds.

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • Free Webinar on Introduction to DevOps

    DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A
    8. Brief overview of courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.

    The agenda for this webinar is:

    1. Introduction to Data Science, Machine Learning and AI
    2. Data Science, Machine Learning and AI - Examples
    3. Data Science, Machine Learning and AI - Applications
    4. Demo and Q&A
    5. Brief overview of Advanced Certification courses offered by CloudxLab

    A certificate of participation will be provided for this session from CloudxLab

    Please Note: This is the first and the only free session of our Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee

  • Machine Learning usage in the industry is fairly nascent with most practitioners gaining expertise through online courses and working mostly within the confines of a colab. When the same practitioner is tasked with designing  and deploying their first ML system, they often make the mistake of focusing entirely on the model development part and their local development environment where training rather than inference is the bottleneck; resulting in culture shock and a steep learning curve getting the model deployed to production

    The objective of this webinar is to prepare the practitioner for the inevitable culture shock and minimize the learning curve by instilling production best practices that tech giants adhere to. We will present a detailed overview of the design and architectural choices behind Uber's Michelangelo: The full-stack ML ecosystem empowering hundreds of engineers and analysts to deploy thousands of models daily.

    A certificate of participation will be provided for this session.

  • The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.

    Top 5 Users will get a 10% discount on the price of the Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee

    Concepts to be tested:

    • Linear algebra
    • Probability Theory
    • Statistics
    • Multivariable Calculus
    • Algorithms and Complexity
    • Aptitude
    • Data Interpretation.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.

    The agenda for this webinar is:

    1. Introduction to Data Science, Machine Learning and AI
    2. Data Science, Machine Learning and AI - Examples
    3. Data Science, Machine Learning and AI - Applications
    4. Demo and Q&A
    5. Brief overview of Advanced Certification courses offered by CloudxLab

    A certificate of participation will be provided for this session.

    Please Note: This is the first and the only free session of our Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee

  • If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot, or making an autonomous car.

    Earlier, there used to be people who specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. What is Artificial Intelligence?
    2. Why Artificial Intelligence?
    3. How the Artificial Intelligence approach to solving problems is different from the Traditional Approach
    4. Careers Paths in Artificial Intelligence
    5. Overview of the Job Market
    6. Brief overview of Various Degree and Advanced Certification courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.

    Top 20 Users will get a 10% discount and Next 10 Users will get a 5% discount on the price of the Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee

    Concepts to be tested:

    • Linear algebra
    • Probability Theory
    • Statistics
    • Multivariable Calculus
    • Algorithms and Complexity
    • Aptitude
    • Data Interpretation.

  • The agenda for this webinar is:

    1. Introduction to Deep Learning and AI
    2. Applications of Deep Learning and AI
    3. About the MSc course on Deep Learning and AI by REVA University and CloudxLab
    4. Benefits of the Program
    5. Careers in the field of AI
    6. Application Process
    7. Q&A

    REVA University and CloudxLab have launched a 2-year Master of Science in Deep Learning and Artificial Intelligence program. This webinar will be conducted by professors from REVA University and Industry experts who will also be part of the instructor team of this course.

    A certificate of participation will be provided for this session.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem gives far better accuracy than other approaches.

    The agenda for this webinar is:

    1. Introduction to Machine Learning and AI
    2. Machine Learning and AI - Examples
    3. Machine Learning and AI - Applications
    4. Demo and Q&A
    5. Brief overview of Various Degree and Advanced Certification courses offered by CloudxLab

    A certificate of participation will be provided for this session.

  • If we look at the current trend in the market, it is very clear that every company is moving towards adapting Data Science, AI, Machine Learning, or DevOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.

    The agenda for this webinar is:

    1. What is Data Science?
    2. What is AI?
    3. What is Machine Learning?
    4. What is DevOps?
    5. Why Data Science/Machine Learning/DevOps?
    6. How the Machine Learning approach to solving problems is different from the Traditional Approach
    7. Careers Paths in Data Science, AI, Machine Learning, and DevOps
    8. Overview of the Job Market
    9. Brief overview of Various Degree and Advanced Certification courses offered by CloudxLab

    The Certificate of Participation will be provided from CloudxLab to all the attendees.

  • If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot, or making an autonomous car.

    Earlier, there used to be people who specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. What is Machine Learning?
    2. What is Data Science?
    3. Why Data Science/Machine Learning
    4. How the Machine Learning approach to solving problems is different from the Traditional Approach
    5. Careers Paths in Data Science and Machine Learning
    6. Overview of the Job Market
    7. Brief overview of Various Degree and Advanced Certification courses offered by CloudxLab

  • The agenda for this webinar is:

    1. Introduction to AI and Deep Learning
    2. Applications of AI
    3. Careers in the field of AI
    4. About the MSc course on Deep Learning and AI
    5. Application Process
    6. Q&A

    REVA University and CloudxLab have launched a 2-year Master of Science in Deep Learning and Artificial Intelligence program. This webinar will be conducted by professors from REVA University and Industry experts who will also be part of the instructor team of this course.

    A certificate of participation will be provided for this session.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Demo
    5. Q&A

  • The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.

    Top 10 Users will get a 30% discount on the price of the instructor-led training on Machine Learning Specialization


    This specialization course is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

    • You would like to build a robot that can recognize faces or change the path after discovering obstacles on the path.
    • Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports, or e-commerce transactions reports).

  • Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.

    The agenda for this webinar is:

    1. Overview of Machine Learning
    2. Basics of Deep Learning
    3. What is computer vision and its use-cases?
    4. Various algorithms used in Computer Vision
    5. Live Hands-on with Yolov4 and OpenCV
    6. What next?

    Note: Participation Certificate will be given only to webinar attendees.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Demo
    5. Q&A

  • Here's what you'll learn

    • What is Big Data & why is it important

    • Big Data - examples and applications

    • Hadoop ecosystem & details of various components

    • Hands-on with the components in Hadoop

    • Understanding the Spark architecture

    • CloudxLab hands-on demo

  • Free Webinar on Introduction to Big Data

    Here's what you'll learn

    • What is Big Data & why is it important

    • Big Data - examples and applications

    • Hadoop ecosystem & details of various components

    • Hands-on with the components in Hadoop

    • Understanding the Spark architecture

    • CloudxLab hands-on demo

  • The scholarship test will consist of Multiple Choice Questions (MCQs) from Basic Programming and Mathematics.

    Top 10 Users will get a 30% discount on the price of the instructor-led training on Machine Learning Specialization


    This specialization course is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

    • You would like to build a robot that can recognize faces or change the path after discovering obstacles on the path.
    • Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports, or e-commerce transactions reports).

  • If we can make computers play chess and even Jeopardy, then why can't we make them see like us?

    This is a particularly perplexing question when we consider how easy we find the act of seeing which we perform countless times each day with virtually no errors.

    What makes vision such a hard problem? How does the brain accomplish vision? To answer these questions we are recording brain signals at multiple scales to understand how the brain is solving this problem and using these data to improve computer vision.

    In this webinar, we will be describing some of the recent findings elucidating object recognition at the behavioral, neuronal, and computational levels.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Demo
    5. Q&A

  • Data Analysis Using Python

    The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

  • If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.

    Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. Introduction to Machine Learning, Deep Learning
    2. Applications of Machine Learning
    3. How AI can be used in the fields of
      • Marketing,
      • Healthcare,
      • IT Services,
      • Manufacturing and more
    4. Q&A

  • The most necessary thing for communication is language. We are already proficient in multiple languages to communicate with ourselves. Today, in the age of automation, where we are spending more time interacting with computers rather than the others, we must know a programming language too.

    Java, JavaScript, C#, Ruby, Python, C++ are all great technologies. Generally, all these languages are good and do the job but which one is the best? Python is considered as the easiest and most versatile language of all time amongst developers. It is the most common language used by almost every industry around the globe including Google, NASA, Facebook, and IBM.

    In this webinar, we will be taking a deeper dive in Data Analysis Using Python

    The agenda for this webinar is:

    1. Introduction to Python
    2. Introduction to Data Analysis using Python
    3. Data Analysis - Examples /Applications
    4. Demo
    5. Q&A

  • In the current scenario, almost all the systems are becoming online. This pretty much calls to make sure that the code you write is secure. The objective of the session is to understand how to write secure code or code with the least security vulnerabilities.

    This is a hands-on session with case studies and code.

    The agenda for this webinar is:

    1. Understand what needs to be secure and why?
    2. Understanding the buffer overflow Issues
    3. Understanding SQL and out input injections
    4. System Issues
    5. Understand Cross-Site Script - XSS

    Anybody who has a basic understanding in programming can attend this session.

  • In the current scenario, almost all the systems are becoming online. This pretty much calls to make sure that the code you write is secure. The objective of the session is to understand how to write secure code or code with the least security vulnerabilities.

    This is a hands-on session with case studies and code.

    The agenda for this webinar is:

    1. Understand what needs to be secure and why?
    2. Understanding the buffer overflow Issues
    3. Understanding SQL and out input injections
    4. System Issues
    5. Understand Cross-Site Script - XSS

    Anybody who has a basic understanding in programming can attend this session.

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Demo
    5. Q&A

  • As the world enters the new era of Big Data and AI, the processing power of the usual computer has become the bottleneck. Moore's law which stated that computing power will get doubled every 2 years, has already failed in recent times. Quantum computing seems to be the only viable way forward.

    While a fully-fledged quantum computer is yet to come, development over the past five years has been fast. Among others, Google recently achieved quantum supremacy via solving a mathematical problem in 200 seconds which the world’s fastest supercomputer would take 10,000 years to produce similar output whereas IBM has put prototype quantum computers on the cloud.

    So this is the right time to learn about quantum computing. Hence, we are conducting an online webinar with the leaders of Quantum Computing to give an introduction about it and it's future possibilities.

    The agenda for this webinar is:

    1. Welcome by CloudxLab
    2. Quantum Computing 101 (Understanding the Fundamentals)
    3. Use cases of Quantum Computing in Artificial Intelligence, Financial modelling, Logistics, and Drug design
    4. Current Hardware Landscape: Challenges and State of the Art
    5. Questions-Answers

  • Careers in AI, Machine Learning

    If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.

    Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. Introduction to Machine Learning, Deep Learning
    2. Applications of Machine Learning
    3. How AI can be used in the fields of
      • Marketing,
      • Healthcare,
      • IT Services,
      • Manufacturing and more
    4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
    5. Q&A

  • Free Webinar on DevOps

    DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools
    7. Q&A

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Demo
    5. Q&A

  • Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

    Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

    The agenda for this webinar is:

    1. Introduction to Machine Learning
    2. Machine Learning - Examples
    3. Machine Learning - Applications
    4. Hands-on Demo on Machine Learning
    5. Q&A

  • AI & Machine Learning - Careers in 2020

    If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.

    Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. Introduction to Machine Learning, Deep Learning
    2. Applications of Machine Learning
    3. How AI can be used in the fields of
      • Marketing,
      • Healthcare,
      • IT Services,
      • Manufacturing and more
    4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
    5. Q&A

  • If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot or making an autonomous car.

    Earlier, there used to be people specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.

    The agenda for this webinar is:

    1. Introduction to Machine Learning, Deep Learning
    2. Applications of Machine Learning
    3. How AI can be used in the fields of
      • Marketing,
      • Healthcare,
      • IT Services,
      • Manufacturing and more
    4. Course on Artificial Intelligence and Machine Learning from IIT Roorkee - Application Procedure
    5. Q&A

  • Free Webinar on DevOps

    DevOps consists of software development practices and tools which aim at better and continuous integration of development and operations part of the software development life cycle to enhance the efficiency.

    The agenda for this webinar is:

    1. Introduction to DevOps
    2. Why DevOps?
    3. Dev-Test-Deploy
    4. DevOps Principles
    5. DevOps Toolchain
    6. Overview of DevOps Tools

  • Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.

    The agenda for this webinar is:

    1. Overview of Machine Learning
    2. Basics of Deep Learning
    3. What is computer vision and its use-cases?
    4. Various algorithms used in Computer Vision (mostly CNN)
    5. Live hands-on demo of either Auto Cameraman or Face recognition system
    6. What next?

    Eligibility:

    This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.

    Even if you are a beginner, you may join the session.

  • Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.

    The agenda for this meetup is:

    1. Overview of Machine Learning
    2. Basics of Deep Learning
    3. What is computer vision and its use-cases?
    4. Various algorithms used in Computer Vision (mostly CNN)
    5. Live hands-on demo of either Auto Cameraman or Face recognition system
    6. What next?

    Eligibility:

    You should have some basic idea of machine learning. This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.

    My suggestion is that even if you are a beginner, do join this session. I assure you that you won't be disappointed.

    This session is mostly going to be online. So, you can ask all your friends to join from across the globe. We will be sharing the link to the meeting before the session.

  • Computer vision is a branch of computer science which deals with recognizing objects, people and identifying patterns in visuals. It is basically analogous to the vision of an animal.

    The agenda for this meetup is:

    1. Overview of Machine Learning
    2. Basics of Deep Learning
    3. What is computer vision and its use-cases?
    4. Various algorithms used in Computer Vision (mostly CNN)
    5. Live hands-on demo of either Auto Cameraman or Face recognition system
    6. What next?

    Eligibility:

    You should have some basic idea of machine learning. This webinar will be useful for those who are working in software development and are trying to understand the fundamentals as well as go hands-on with computer vision.

    My suggestion is that even if you are a beginner, do join this session. I assure you that you won't be disappointed.

    This session is mostly going to be online. So, you can ask all your friends to join from across the globe. We will be sharing the link to the meeting before the session.

  • There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space. CloudxLab is pleased to announce its free webinar on Big Data with Spark & Scala, to help you learn from Industry Experts with more than 15 years of experience.

    Topics to be covered during the webinar

    • Big Data & its importance.

    • Big Data - examples and applications

    • Apache Spark and its Components - Overview

    • Hands-on demo on cloud-based lab

      Keynotes

    • This is the first and the only free session of our Instructor-Led Course on Big Data with Spark & Scala. For more details, please click here

  • Artificial Intelligence has a significant presence in top emerging jobs in today's era. Its one of the fastest growing skills and has become inevitable, so taking a step ahead CloudxLab welcomes you to its Free Webinar on Introduction to Machine Learning Process (with Q&A Session) on 18 May'2019 with our Industry Experts.

    Topics to be covered in the Webinar -

    • Introduction to Artificial Intelligence

    • Introduction to Machine Learning & Deep Learning

      • Approach
      • Difference between Machine Learning approach & Traditional approach
      • Types
      • Identify and understand the various types of Machine Learning problems
      • Basics
      • Learning the process of a typical Machine Learning project
      • Training and testing of ML model
      • Various challenges and the common pitfalls in splitting the data, including many biases involved.
    • Representing your data
      • How to represent the data for the consumption of an algorithm
    • Overfitting & Underfitting
      • To identify not-learning and too much learning
      • Difference between bias and variance
    • Q&A session

    Keynotes

    • This is the first and the only free session of our Instructor Led Live Q&A training for AI for Managers course on CloudxLab, for more details, please click here

  • You will learn the below topics

    • Introduction to Deep Learning
    • Deep Learning Applications
    • Introduction to Artificial Intelligence
    • Getting started with TensorFlow
    • Hands-on examples on TensorFlow

  • What is Big Data & why is it important

    Big Data - examples and applications

    Introduction to Apache Spark and its components

    Hands-on demo on cloud-based lab

  • Let's meet up for a fireside chat on Introduction and Careers in AI at WeWork Prestige Atlanta. This meetup is all about Artificial Intelligence. The agenda of the meetup is:

    1. Networking
    2. Why AI and How to get Started?
    3. Careers in AI - Questions & Discussion

    Please register yourselves at https://goo.gl/pH2wbZ

  • Here's what you'll learn

    • What is Big Data & why is it important

    • Big Data - examples and applications

    • Hadoop ecosystem & details of various components

    • Hands-on with the components in Hadoop

    • Understanding the Spark architecture

    • CloudxLab hands-on demo

  • Free Live Session on Machine Learning

    Here's what you'll learn

    Overview of Python for Machine Learning

    Introduction to Machine Learning

    Machine Learning - Examples

    Machine Learning - Applications

    Hands-on Demo on Machine Learning

  • What is Big Data & why is it important

    Big Data - examples and applications

    Introduction to Apache Spark and its components

    Hands-on demo on cloud-based lab

  • There shall be an online test for 1.5 hours which would consist of objective questions based on mathematics required for Machine Learning.

    • Topics that it will cover are linear algebra, probability theory, statistics, multivariable calculus, algorithms, time complexity, aptitude and Data Interpretation,

    • Number of questions will be 25,

    • Each question will have a weightage equal to the score it is for,

    • No negative marking, and

    • The test link will be sent only 30 minutes before the scheduled start time.

  • Here's what you'll learn

    • What is Big Data & why is it important

    • Big Data - examples and applications

    • Hadoop ecosystem & details of various components

    • Hands-on with the components in Hadoop

    • Understanding the Spark architecture

    • CloudxLab hands-on demo

  • Here's what you'll learn

    • What is Big Data & why is it important

    • Big Data - examples and applications

    • Hadoop ecosystem & details of various components

    • Hands-on with the components in Hadoop

    • Understanding the Spark architecture

    • CloudxLab hands-on demo

  • You will learn the below topics

    • Introduction to Deep Learning
    • Deep Learning Applications
    • Introduction to Artificial Intelligence
    • Getting started with TensorFlow
    • Hands-on examples on TensorFlow

  • Here's what you'll learn

    What is Big Data & why is it important

    Big Data - examples and applications

    Introduction to Apache Spark and its components

    Hands-on demo on cloud-based lab

  • Free Live Session on Machine Learning

    Here's what you'll learn

    Overview of Python for Machine Learning

    Introduction to Machine Learning

    Machine Learning - Examples

    Machine Learning - Applications

    Hands-on Demo on Machine Learning

  • Deep learning is a promising approach for extracting accurate information from raw sensor data from IoT devices deployed in complex environments. Because of its multilayer structure, deep learning is also appropriate for the edge computing environment.

    Sandeep will provide an introduction to Deep Learning, core technologies, methodologies and approach on how Deep Learning can enable IoT applications.

  • There shall be an online test for 1.5 hours which would consist of objective questions based on mathematics required for Machine Learning.

    • Topics that it will cover are linear algebra, probability theory, statistics, multivariable calculus, algorithms, time complexity, aptitude and Data Interpretation,

    • Number of questions will be 25,

    • Each question will have a weightage equal to the score it is for,

    • No negative marking, and

    • The test link will be sent only 30 minutes before the scheduled start time.

  • This session would broadly cover the following:

    • Introduction to Machine Learning and AI
    • What is Classification?
    • Hands-on example on binary classification using MNIST dataset
    • Understanding Stochastic Gradient Descent (SGD) Classifier
    • Training a binary classifier using SGD
    • Performance measure

      • Cross Validation
      • Confusion Matrix
      • Precision and Recall
      • F1 Score
      • Precision / Recall Tradeoff
      • ROC Curve

  • This session would broadly cover the following:

    • End-to-end Machine Learning project
    • This bootcamp is designed to be an entirely hands-on experience for you.

  • In this workshop, you will be introduced to six modules. Each module introduces one or two core Machine Learning concepts while working through the practical implementation.

    • Overview of Machine Learning

    • Manipulation and plotting data

    • Preprocessing and exploring data

    • Training a binary classifier

    • Measuring Performance

    • Learning Multi-class classification