GANs & Reinforcement Learning Program

The objective of this program is to provide fundamental understanding of the concepts behind Reinforcement Learning, Generative Models and how to apply them to real world problems.

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Program image

Starts

January 1, 2023

Duration

6 week

Time Investment

20 Hrs/Week

Format

Live, Online

Fee

$0 (*small processing fee upon selection)
₹0 (*small processing fee upon selection)

Registration closes

December 15, 2022

What do you get being a part of the Fellowship?

Mentored preparation for top global careers
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5 times every week for 6 weeks of fun & high engagement with peers from reputed institutions & organizations
Participation in Univ.AI's global placement system for employment opportunities worldwide
Interactions with top faculty and professionals during guest sessions

Meet the teaching team

Course Outcome

Who should apply

This program is ideal for students or working professionals interested in the fields of GANs or Reinforcement Learning and has a good understanding of the basics of AI, ML & Tensorflow.keras

You will be able to efficiently work with reinforcement learning problems and build effective generative adversarial networks.

Prerequisites

Your are expected to have a working knowledge of python, along with these three libraries:

  • Numpy
  • Pandas
  • Tensorflow.keras
  • Knowledge of high level machine learning libraries such as keras is necessary for this program

Class Timings

We will update it soon!!

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Fellowship Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based lessons with labs and quizzes

Mentorship
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 learn

Topics Covered

AI-4

Introduction to Generative Adversarial Networks Evaluation metrics for GANs and Challenges in GANs

Wasserstein GANs and GAN Hacks

State of the art GANS

Introduction to Reinforcement Learning and Markov Decision Process

Bellman equation, Optimality and Recursive algorithms

Model-free learning and Q-Learning

Deep Q-Learning

Policy

Cost of attending the fellowship

You will need to pay two small amounts.

  1. A fully refundable skin-in-the-game deposit of ₹3500
  2.  A non refundable, pass-through Edtsem (platform) fee of ₹1500.

Total initial amount: ₹5000 

of which ₹3500 is fully refundable

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate & Refund

- 75% attendance 

- All submissions (Homework + Projects)

You will need to pay two small amounts.

  1. A fully refundable skin-in-the-game deposit of $45
  2.  A non refundable, pass-through Edtsem (platform) fee of $20.

Total initial amount: $65 

of which $45 is fully refundable

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate & Refund

- 75% attendance 

- All submissions (Homework + Projects)

Why is there a fee for attending the fellowship

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around ₹50,000 per person for a 6 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around $625 per person for a 6 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

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