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E&ICT Academy, IIT Roorkee

An initiative of Ministry of Electronics and Information Technology (MeitY) Govt. of India

Learn Deep Learning - Get Certificate from E&ICT, IIT Roorkee

Learn TensorFlow, Convolutional & Recurrent Neural Networks, Autoencoders, Reinforcement Learning From Industry Experts

2,518 Ratings         5,000+ learners

  45+ hours of online self-paced training

  90 days of Lab

  24x7 Support

4 Projects

About E&ICT, IIT Roorkee

The Electronics & ICT Academy program is sponsored by the Ministry of Electronics and Information Technology, Govt. of India.

The E&ICT Academy IIT Roorkee conducts short courses/FDPs in the emerging areas to enrich & upgrade subject knowledge and technical skills benefiting faculty, working professionals and Govt. employees.

The trained beneficiaries are expected to create a cascading effect, transforming the competencies and standards in the parent institutes/organizations.

E & ICT Academy IIT Roorkee supported by Ministry of Electronics and Information Technology (MeitY) with CloudxLab as industry partner, is conducting a training program in Machine Learning Specialization.

The E&ICT courses lay special emphasis on hands-on learning with participation from industry experts. These programs also enable the participants and institutes to build industry connects, upgrade lab facilities and create opportunities for collaboration.

E&ICT courses are at par with QIP for recognition/credits.

As of now the E&ICT Academy, IIT Roorkee has conducted 91 courses and trained over 5,000 beneficiaries.


For more details, please visit the E&ICT Academy (IIT Roorkee) official website here: https://eict.iitr.ac.in/


About the Specialization

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.

Most of the domains that were considered specializations are now being merged into Machine Learning. This has happened because of the following:

  • Better research and algorithms
  • Better computing resources
  • Distributed computing infrastructures
  • Availablity of Big Data

Every domain of computing such as data analysis, software engineering, and artificial intelligence is going to be impacted by Machine Learning. Therefore, every engineer, researcher, manager or scientist would be expected to know Machine Learning.

So naturally, you are excited about Machine learning and would love to dive into it. This specialization 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 which 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).

See you in the specialization and happy learning!

Program Highlights

Course

Latest content with videos and assessments

Cloud Lab

Apply the skills you learn on a distributed cluster to solve real-world problems.

Projects

Work on 4 deep learning projects to get hands-on experience

Best-in-class Support

24×7 support.
Discussion forum to answer all your queries throughout your learning journey.

Certificate

Highlight your new skills on your resume or LinkedIn. Certificate issued by E&ICT, IIT Roorkee.
Enrollment
SELF-PACED LEARNING
Course + Lab + Certificate

90 days lab

Learning Path
Download Course Syllabus

Course

About the Course


This course is a part of the Specialization Course in Machine Learning and Deep Learning

1. Introduction to Deep Learning

Deep Learning Applications, Artificial Neural Network, TensorFlow Demo, Deep Learning Frameworks


2. Up and Running with TensorFlow

Installation, Creating Your First Graph and Running It in a Session, Managing Graphs, Lifecycle of a Node Value, Linear Regression with TensorFlow, Implementing Gradient Descent, Feeding Data to the Training Algorithm, Saving and Restoring Models, Visualizing the Graph and Training Curves Using TensorBoard, Name Scopes, Modularity, Sharing Variables


3. Introduction to Artificial Neural Networks

From Biological to Artificial Neurons, Training an MLP with TensorFlow’s High-Level API, Training a DNN Using Plain TensorFlow, Fine-Tuning Neural Network Hyperparameters


4. Training Deep Neural Nets

Vanishing / Exploding Gradients Problems, Reusing Pretrained Layers, Faster Optimizers, Avoiding Overfitting Through Regularization, Practical Guidelines


5. Convolutional Neural Networks

The Architecture of the Visual Cortex, Convolutional Layer, Pooling Layer, CNN Architectures


6. Recurrent Neural Networks

Recurrent Neurons, Basic RNNs in TensorFlow, Training RNNs, Deep RNNs, LSTM Cell, GRU Cell, Natural Language Processing


7. Autoencoders

Efficient Data Representations, Performing PCA with an Undercomplete Linear Autoencoder, Stacked Autoencoders, Unsupervised Pretraining Using Stacked Autoencoders, Denoising Autoencoders, Sparse Autoencoders, Variational Autoencoders


8. Reinforcement Learning

Learning to Optimize Rewards, Policy Search, Introduction to OpenAI Gym, Neural Network Policies, Evaluating Actions: The Credit Assignment Problem, Policy Gradients, Markov Decision Processes, Temporal Difference Learning and Q-Learning, Learning to Play Ms. Pac-Man Using Deep Q-Learning


9. Quizzes, gamified assessments & projects

Projects

Projects

1. Build cats classifier using neural network

In this project, you will build a basic neural network to classify if a given image is of cat or not.


2. Classify large images using Inception v3

Download images of various animals and then download the latest pretrained Inception v3 model. Run the model to classify downloaded images and display the top five predictions for each image, along with the estimated probability.


3. Classify clothes using TensorFlow

Build a model to classify clothes into various categories in Fashion MNIST dataset.


4. Predict the hourly rain gauge total

This is a time series prediction task: you are given snapshots of polarimetric radar values and asked to predict the hourly rain gauge total.

Certificate

Certificate

Earn your certificate

Our course is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Machine Learning and Deep Learning.


Differentiate yourself

The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.


Share your achievement

Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.


Certification guideline

Complete at least 60% of the topics of the course along with any 2 mandatory(non optional) projects. All the above requirements need to be met within 90 days from the course enrollment date to be eligible for the certificate.

 Course Certificate Sample
Course Creators
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Course Developer
Sandeep Giri

Sanjeev Manhas

Associate Professor,
IIT Roorkee
Course Advisor
Sandeep Giri

R. Balasubramanian

Professor,
IIT Roorkee
Course Developer
Sandeep Giri

Partha Pratim Roy

Assistant Professor,
IIT Roorkee
Course Developer
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Developer
 Jatin Shah

Jatin Shah

Ex-LinkedIn, Yahoo, Yale CS Ph.D.
IIT-B
Course Advisor

Reviews

(4.9 out of 5)
...

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. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.

...

Machine learning courses in especially the Artificial Intelligence for the manager course is excellent in CloudxLab. I have attended some of the course and able to understand as Sandeep Giri sir has taught AI course from scratch and related to our data to day life…

He even takes free sessions to helps students and provides career guidance.

His courses are worthy and even just by watching YouTube video anyone can easily crack the AI interview.

...

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 live session with access to labs for hands-on practices! With that, it becomes easy following any discourse, even if one misses the live sessions(Read that as me!). Sandeep(course instructor) has loads of patience and his way of explaining things are just remarkable. I might have better comments to add here, once I learn more! Great Jobs guys!

...

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 platform provides a unique opportunity to try hands-on simultaneously with the coursework in an almost real-life coding example. Besides, learning to use algebra, tech system and Git is a good refresher for anyone planning to start or stay in technology. The course covers the depth and breadth of ML topics. I specifically like the MNIST example and the depth to which it goes in explaining each and every line of code. Would definitely recommend the instructor-led course.

...

I took both the machine learning and deep learning course at CloudXLab. I came into the first part of the course with some knowledge of machine learning but the class really helped me understand some of the topics a lot clearer. I think the best part of the class is the instructor Sandeep. He is very knowledgeable and does a really good job explaining topics that can be nebulous at times. Another favorite part of the course are the online labs. I would watch the 3hr lecture the next day, and then work on the labs. The labs reinforces the lectures with questions and coding assignments. There is also a message board and a slack channel. I preferred using slack, but I think you get a quicker response if you use the message board. As far as the deep learning portion of the course, it was all new to me but I was building CNN and RNN models using TensorFlow after each 3hr lecture. Overall, I was very pleased with the course. I am hoping that CloudxLab will put together an advanced class focusing more on deploying models to the clouds, working with pipelines, DevOps etc…

...

I found the ML&DL course very well structured with ample examples and hands on exercises. Sandeep was very patient in answering questions and he made the training sessions very interactive. I would recommend this training to all who plan to take a dive into the world of machine and deep learning.

...

I have thoroughly enjoyed both the ML and DL courses from CloudXLab and will look forward to reviewing the videos/material at a later time. I’ve been to many meetups and paid sessions on ML /DL and this course beats most of them on the depth of topics and certainly breadth of topics. I’ve not taken any online courses (Andrew Ng, for example) to their conclusion, so I won’t draw a conclusion there. For an instructor-led, interactive course, I would expect to pay many times more for a class (ML and DL) such as this in the US. The instructor is easy to understand, has extensive experience, and truly cares about the student knowing the material.

...

A very well structured instructor-led course. The instructor was very thorough, and always willing to answer questions and clarify coursework, no matter how minor. The course described the theory of machine/deep learning well, but also followed through with very thorough examples to demonstrate the practical implementations of the theory. This leads nicely into the student exercises, which served to solidify the instructor's teachings and encourage experimentation. The resources provided for students was exceptional and presented in a very user-friendly format.

My only complaint is that the course went quite overtime, but I also appreciate Sandeeps dedication to quality and ensuring that he finished teaching us everything adequately.

...

I have been using CloudxLab for Machine Learning and based on experience I can say that they have done a fabulous job in training and certification process which makes the user so interactive with faculty and software intuitive.

FAQ

You should be proficient in one of the programing languages (python recommended) and machine learning algorithms.

It is a self-paced course. You will get access to videos, quizzes, hands-on assessments and projects. If you have any doubts during your learning journey, you can post it on the discussion forum. Our experts and community will assist you over there.

For self-paced courses, we provide 100% refund if the request is raised within 7 days from enrollment date.

Please contact us at reachus@cloudxlab.com to request a refund within the stipulated time.

In Self-paced learning, you will get,

  1. Lifetime access to the self-paced course including videos, assessments, quizzes, and projects
  2. Recordings of the previous batch of instructor-led training
  3. 24x7 support using the discussion forum
Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.

Complete at least 60% of the topics of the course along with 3 mandatory projects. All the above requirements need to be met within 90 days from the course enrollment date to be eligible for the certificate from E&ICT Academy, IIT Roorkee

No, we will provide you with the access to our online lab and BootML so that you do not have to install anything on your local machine

Please note that you will not get a certificate from EICT academy, IIT Roorkee if your deadline to earn the EICT academy, IIT Roorkee certificate is over. You have two options in such case-

  1. Complete all the topics to 100% and earn the certificate by CloudxLab. Here is the sample certificate from CloudxLab
  2. Purchase the course again and finish the formalities to earn EICT academy, IIT Roorkee certificate within the new deadlines. Contact us for the exclusive discount code for purchasing the course again.

Please note though course access is valid for the lifetime, to earn the EICT academy, IIT Roorkee certificate, you are required to finish the formalities within the stipulated deadlines. You can renew the lab anytime here

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Contact Details

Electronics and ICT Academy

Electronics & ICT Academy
Electronics & Communication Department
Indian Institute of technology
Roorkee 247667, Uttarakhand INDIA

CloudxLab

#215, The Arcade, Brigade Metropolis,
Mahadevpura, Bangalore
India - 560048
Phone: 080 - 4920 2224

Have more questions? Please contact us at reachus@cloudxlab.com