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This module will extend your AI skills to new domains, and harder tasks. This is a Y-level module, for those already familiar with AI fundamentals.

You will learn how to use deep neural networks in natural language processing and generative modeling. After that you will move on to deep reinforcement learning. Along the way,  you'll learn how to read and critique state-of-the-art research papers.  

The program will prepare you for elite, much sought after AI positions. It will also equip you to conduct original research in your area of interest.

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Applications opening soon
Registration Closed


April 19, 2021
To be decided


10 Weeks (not including breaks)


Live Online

Time Investment

10 to 15 hours per week



(Interest free EMI available)

Registration closes

April 1, 2021
To be decided

Course Outcome

Program Overview

Program Overview

After successfully completing the program, you will be:

  1. Write natural language products such as question-answers, and build new ones
  2. Write intelligent robot routines and control systems (for eg., medical) that will use autonomous agents
  3. Awarded the Expert Certification in AI on successful completion of the course
  4. Eligible to attend AI: Z
  5. Prepared to pursue advanced (graduate, doctorate) level studies in AI
  6. Qualified to seek upper-intermediate and senior level AI positions in the industry

Who should apply


Anyone who seeks to learn advanced AI and who has the necessary prerequisites. The course is however tailored to students as well as working professionals, who have some background in maths as well as programming.

See if you are ready

Knowledge of beginning and intermediate AI as exemplified by the topics in AI: X

Program Structure

Live online classes
1. Live Online Classes

Bi-weekly lessons with labs and quizzes

2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learned

4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Program Faculty

Dr. Pavlos Protopapas

Professor, Harvard University

Pavlos is the Scientific Program Director, Institute for Applied Computational Science (IACS) at Harvard University, and leads the data science masters program at Harvard.

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Topics Covered

AI 3

Traditional language modeling
RNNs and LSTMs
Language Modeling (predict next world) with RNNs
Attention and Seq2Seq models
Transformer Models

Project Week

AI 4

Markov Decision Processes
Deep Q Networks
Policy Gradient Methods
Actor Critic models
Model based methods

Project Week

Our Alumni

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Financial Assistance

Interest free EMI

Our programs are priced for access, and are affordable for most around the world who seek the best training in sought after areas like AI and Data Science. For those who might still need financing, we have EMI payments available.

Scholarship for the best

A small number of Univ.AI Scholarships are available for the best candidates. Learn More

Tell a friend about our program

And we'll give you both Amazon vouchers worth ₹ 5,000

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Frequently Asked Questions

What is the Master Certification Series: AI?

It is a 3-part series where each program leads to an individual certification. 

  • Level: X is for beginners in AI
  • Level: Y is for advanced learners in AI
  • Level Z: Is for expert level practitioners

You can take these programs consecutively or at your own pace.

What are the prerequisites for the program?

This is an advanced program and is the second part of our Master Series in AI. If you have taken AI: X or have equivalent knowledge in AI/ML, you are eligible for the program. The detailed prerequisites for this program can be found above.

What are the resources I can avail if I don’t fulfill the prerequisites?

You can begin your AI journey with the AI: X program, the first part of the Master AI Series, if you do not meet the prerequisites. Our X-level programs are priced for access and are great to begin your AI journey.

Do you advise taking only a part or the entire 3-part Master: Data Science consecutively?

Students who finish Level Z with an ‘A’ grade are guaranteed placement opportunities. We recommend you take at least two programs one after the other, and then take a break, before you take the third and final part of the series. That will enable the system to help you better.

What kind of career opportunities may I expect after completing this program?

The program will get you ready for mid to senior level positions in AI and Machine Learning. This program will also set you up for the AI: Z, which will prepare you for the most sought after expert level opportunities in the field.

How often is the Artificial Intelligence: Y program held?

New cohorts of the Artificial Intelligence: Y program will be held every 10 to 12 weeks. You can take this program at a time that best suits you.

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