Executive PG Certificate Program in Machine Learning Operations (MLOps) By IIT Roorkee
Learn to design a machine learning system end-to-end. Build expertise in training, deploying, scaling and monitoring the performance of your machine learning model in production.
Machine Learning Operations (MLOps) refers to the tools, techniques and practical experiences required to train your machine learning models and deploy and monitor them in production. After we have trained our machine learning model, the next big task is to deploy the model to production and scale it so that more users can use it. In this course, you will learn how to use various tools and methodologies to do all this effectively.
While knowing machine learning and deep learning concepts is essential, but for building a successful career in Artificial Intelligence, you need to have good experience with production engineering capabilities. This course deep-dives into machine learning and deep learning algorithms along with building expertise in DevOps technologies.
By the end of this program, you will be ready to
Design a machine learning system end-to-end starting from project scoping, data needs, modeling and deployment
Build pipelines for optimizing the model training process
Apply various machine learning and deep learning algorithms to solve your business problems
Use Spark MLlib for distributed model training
Deploy your machine learning models to production using CI/CD pipelines
Monitor and visualize the performance of your system
Gain practical knowledge in TensorFlow, Keras, Linux, Git, Python, Docker, Kubernetes, Ansible, Terraform, Graffana, Prometheus and Jenkins
Program Highlights
Executive PG Certificate from IIT Roorkee
Certificate of Completion by IIT Roorkee
1 Week Immersion Program
A On-Campus immersion Program at IIT-Roorkee
Placement Eligibility Test
Proctored Exams with opportunity to get Placed
18+ Hands-On Project
Work on real world projects to get an hands-on experience
IIT Roorkee is ranked first among all the IITs AND 20th position globally in citations per faculty. Established in 1847, it's one of the oldest technical institutions in Asia. IIT Roorkee fosters a very strong entrepreneurial culture. Some of their alumni are highly successful as entrepreneurs in the new age digital economy.
Why CloudxLab?
CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready.
#1st
Among the IITs in the ‘Citations per Faculty’ parameter
*QS World Rankings
#5
Ranked Engineering College
*India Today 2020
#6
Ranked for IITs
*NIRF 2020
#12
Ranked Best Global Universities in India
*QS World Rankings
Programming Languages and Tools
Hands-on Learning
Gamified Learning Platform
Making learning fun and sustainable
Auto-assessment Tests
Learn by writing code and executing it on lab
No Installation Required
Lab comes pre-installed softwares and accessible everywhere
Project 10. Build an Image Classifier in Fashion MNIST dataset
Build a CNN from scratch to classify FashionMNIST data using Tensorflow2, Matplotlib and Python.
Project 11. Deploy Machine Learning models to Production using Flask
Learn how to deploy a machine learning model as a web application using the Flask framework.
Project 12. Deploying Single Container Static App with Docker & Travis CI on AWS Elastic Beanstalk
We will first make a simple static website, then dockerize the app. Then we will push it to GitHub and enable Travis to track changes in that reposito ...Read more
Project 13. Deploying Multi Container Flask App with Docker & Travis CI on AWS Elastic Beanstalk
We will deploy the multi-container Flask app (Nginx, uWSGI, Redis and PostgreSQL) on AWS Elastic Beanstalk
Project 14. Deploying Single Container Flask app with Docker, Travis CI, AWS RDS & AWS ElastiCache on AWS Elastic Beanstalk
We will deploy the Flask app on AWS Elastic Beanstalk using Docker, RDS(PostgreSQL),ElastiCache(Redis) and Travis CI.
Project 15. Testing Single Container Static App Locally on Minikube
In this project, we will understand what is Kubernetes and what is Minikube.
As part of the hands-on, we will learn to set up Minikube with VirtualBo ...Read more
Project 16. Deploying Single Container Static App on Google Kubernetes Engine
In this project, we will learn how to deploy a static website on the Google Cloud Platform (GCP). It is very highly recommended to go through the proj ...Read more
Project 17. Automating Deployment of Single Container Static App on Google Kubernetes Engine with Docker & Travis CI
In this project, we will see how to automate the process of deploying a static web app onto GKE with the help of a shell executable and Travis-CI.
Project 18. Deploying Multi-Container App on Minikube and GKE
In this project, we will understand how to deploy a multi-container application on Minikube and GKE. We will learn about Kubernetes Secrets and Kubern ...Read more
Project 1. Churn Email Inbox with Python
Churn the mail activity from various individuals in an open source project development team.
Project 2. Predicting the median housing prices in California
In this project we will build a machine learning model to predict housing prices. We will learn various data manipulation, visualization and cleaning ...Read more
Project 3. Classifying handwritten digits in MNIST dataset
The MNIST dataset is considered as Hello World! of Machine Learning. Write your first classification logic. Starting with Binary Classification learn ...Read more
Project 4. Noise removal from the images
Build a model that takes a noisy image as an input and outputs the clean image.
Project 5. Build a spam classifier
Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a m ...Read more
Project 6. Predict which passengers survived in the Titanic shipwreck
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survi ...Read more
Project 7. Image Classification with Pre-trained InceptionV3 Network
This project aims to impart the knowledge of how to access the pre-trained models from TensorFlow 2, and appreciate its powerful classification capaci ...Read more
Project 8. Host an Image Classification App on Heroku
Heroku is a cloud platform for the deployment and management purposes of web applications. You will learn how to deploy DeepLearning based Flask web a ...Read more
Project 9. Predicting Noisy Images using KNN Classifier
We will train a KNN classifier to predict MNIST images from their noisy version.
Project 10. Build an Image Classifier in Fashion MNIST dataset
Build a CNN from scratch to classify FashionMNIST data using Tensorflow2, Matplotlib and Python.
Project 11. Deploy Machine Learning models to Production using Flask
Learn how to deploy a machine learning model as a web application using the Flask framework.
Project 12. Deploying Single Container Static App with Docker & Travis CI on AWS Elastic Beanstalk
We will first make a simple static website, then dockerize the app. Then we will push it to GitHub and enable Travis to track changes in that reposito ...Read more
Project 13. Deploying Multi Container Flask App with Docker & Travis CI on AWS Elastic Beanstalk
We will deploy the multi-container Flask app (Nginx, uWSGI, Redis and PostgreSQL) on AWS Elastic Beanstalk
Project 14. Deploying Single Container Flask app with Docker, Travis CI, AWS RDS & AWS ElastiCache on AWS Elastic Beanstalk
We will deploy the Flask app on AWS Elastic Beanstalk using Docker, RDS(PostgreSQL),ElastiCache(Redis) and Travis CI.
Project 15. Testing Single Container Static App Locally on Minikube
In this project, we will understand what is Kubernetes and what is Minikube.
As part of the hands-on, we will learn to set up Minikube with VirtualBo ...Read more
Project 16. Deploying Single Container Static App on Google Kubernetes Engine
In this project, we will learn how to deploy a static website on the Google Cloud Platform (GCP). It is very highly recommended to go through the proj ...Read more
Project 17. Automating Deployment of Single Container Static App on Google Kubernetes Engine with Docker & Travis CI
In this project, we will see how to automate the process of deploying a static web app onto GKE with the help of a shell executable and Travis-CI.
Project 18. Deploying Multi-Container App on Minikube and GKE
In this project, we will understand how to deploy a multi-container application on Minikube and GKE. We will learn about Kubernetes Secrets and Kubern ...Read more
Project 1. Churn Email Inbox with Python
Churn the mail activity from various individuals in an open source project development team.
Project 2. Predicting the median housing prices in California
In this project we will build a machine learning model to predict housing prices. We will learn various data manipulation, visualization and cleaning ...Read more
Project 3. Classifying handwritten digits in MNIST dataset
The MNIST dataset is considered as Hello World! of Machine Learning. Write your first classification logic. Starting with Binary Classification learn ...Read more
Project 4. Noise removal from the images
Build a model that takes a noisy image as an input and outputs the clean image.
Project 5. Build a spam classifier
Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a m ...Read more
Project 6. Predict which passengers survived in the Titanic shipwreck
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survi ...Read more
Project 7. Image Classification with Pre-trained InceptionV3 Network
This project aims to impart the knowledge of how to access the pre-trained models from TensorFlow 2, and appreciate its powerful classification capaci ...Read more
Project 8. Host an Image Classification App on Heroku
Heroku is a cloud platform for the deployment and management purposes of web applications. You will learn how to deploy DeepLearning based Flask web a ...Read more
Project 9. Predicting Noisy Images using KNN Classifier
We will train a KNN classifier to predict MNIST images from their noisy version.
Which Executive PG Certificate Program by IIT Roorkee should you choose?
Topics available
Executive PG Certificate Program in Data Science
Executive PG Certificate Program in AI (Machine Learning & Deep Learning)
Executive PG Certificate Program in Machine Learning Operations
Foundations (Python, Linux, Git, SQL, Analytics)
Machine Learning
Deep Learning Foundations - Artificial Neural Networks
Step 1. Submit the application form and SOP(Statement of Purpose)
Register by filling the application form. Admission Test in the next step will be immediately after filling the form.
Step 2. Admission Test
Online admission test of 60 minutes containing 20 multiple choice questions to assess your quantitative aptitude and programming skills.
Step 3. Personal Interview
Online personal interview for 45 minutes with a course mentor. The interviewer will ask questions based on your Statement of Purpose, work experience(if any) and your motivation and aspirations to join the course.
Step 4. Join The Program
If selected, the admission office will send the letter of acceptance. Submit the admission fees in due time to confirm the seat
Note: Admission test should be taken immediately after submitting the application using the link displayed post application submission.
Eligibility Criteria
Anybody in their final year of undergraduate degree or has completed their undergraduation is eligible to apply for the course
Must have studied Mathematics in 12th standard
Scholarships
10% Scholarships are available for students, women from STEM background and unemployed
5% Scholarship available for IIT Alumni and CloudxLab Alumni.
PS: Details to avail the scholarship will be sent post application-submission and only one scholarship applicable per learner
Certification Guideline
You will be required to have at least 60% attendance in live sessions, complete at least 75% of the course, 1 Capstone Project and 7 Guided projects - Analyse emails from Python, 3 mandatory projects from Machine Learning and any 3 mandatory projects from DevOps. All the above requirements need to be met within the deadline of the course (12 Months) to be eligible for the certificate from IIT Roorkee.
Please note that there is an additional 5% off for one-time payment
Placement Assistance
1-1 mentoring with Industry Experts
You will have 1-1 mentoring sessions with industry experts.
Mock Interview Sessions
We will be conducting mock interview sessions which will help you prepare for the interviews
Placement Eligibility Test
We have around 300+ recruitment partners who will be interviewing you based on your performances in PET
Profile Building Sessions
Sessions will be conducted to guide you on creating the perfect resume and professional profile to get noticed by recruiters
Dedicated Job Portal
Opportunities from companies who approach us asking for our learner profiles will be posted on our job portal to providevisibility to your profile
Career Guidance Webinars
Career Guidance Webinars from seasoned industry experts
Testimonials
I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to ...Read more
Rajtilak Bhattacharjee
This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. ...Read more
Kamal Upadhyay
It has been a wonderful learning experience with CXL. This is one of the courses that will probably stay with me for a significant amount of time. The ...Read more
Pratik Sonthalia
This is one of the best-designed course, very informative and well paced. The killer feature of machine/deep learning coursed from CloudxLab is the li ...Read more
Dhyan Prem
Senior Software Developer at Decision Resources Group
Sessions were great, pace was also very good. Each of the steps were explained well multiple times to ensure everyone ...Read more
Nitin Nigam
Thanks a lot,it was great course! I'm happy that you lead in this path to AI/ML/DL.I hope to continue to collaborate with you in future.
Domenico Flioravanti
Thank you so much Sandeep for all your great sessions. It will help in our career a lot. Your session is very much explanatory and understandable. Kud ...Read more
Hemanta Lenka
I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to ...Read more
Rajtilak Bhattacharjee
This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. ...Read more
Kamal Upadhyay
It has been a wonderful learning experience with CXL. This is one of the courses that will probably stay with me for a significant amount of time. The ...Read more
Pratik Sonthalia
This is one of the best-designed course, very informative and well paced. The killer feature of machine/deep learning coursed from CloudxLab is the li ...Read more
Dhyan Prem
Senior Software Developer at Decision Resources Group
Sessions were great, pace was also very good. Each of the steps were explained well multiple times to ensure everyone ...Read more
Nitin Nigam
Thanks a lot,it was great course! I'm happy that you lead in this path to AI/ML/DL.I hope to continue to collaborate with you in future.
Domenico Flioravanti
Thank you so much Sandeep for all your great sessions. It will help in our career a lot. Your session is very much explanatory and understandable. Kud ...Read more
Hemanta Lenka
I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to ...Read more
Rajtilak Bhattacharjee
Related Course
Executive PG Certificate Program in Data Science By IIT Roorkee
Yes! Please feel free to ask your questions on CloudxLab forum and our community and team of experts will answer your questions. We believe forum will add better perspectives, ideas, and solutions to your questions.
Yes, we do offer placement assistance that includes career guidance, resume building tips and mock interviews. Each participant will receive staunch support from the industry mentors, who also direct you through various placement opportunities within the industry. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.
We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access to the course material so that you can refer to the course material anytime.
We provide a 100% fee refund if the request is raised within the first 2 instructor-led sessions. Please contact us at reachus@cloudxlab.com to request a refund within the stipulated time. Thereafter, no refund is provided.
The Interviewer during the personal interview will be asking you questions regarding the Statement of Purpose (SOP) you have filled out in your application form, your motivation for joining this course and what you find most interesting in this field.
No, there are no additional charges for admission. But, if you are choosing to pay by EMI, there will be a fixed admission charge that is to be paid. This amount will be subtracted from the total course fees.
