Enrollments Closing Soon for Online Instructor-Led DevOps Certification Training by CloudxLab | No Cost EMI Available

  Enroll Now
Upcoming Events
Past Events
  • 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