Hi everyone,

Welcome again to the course.

UPDATE: This course was just updated with new ChatGPT / GPT-4 lectures. Look out for it :)

It's important to take a first step back now to clearly visualize the structure of this course, which is the following:

• Part 0 - Fundamentals of Reinforcement Learning
  - Q-Learning Intuition
  - Q-Learning Visualization

• Part 1 - Deep Q-Learning
  - Deep Q-Learning Intuition
  - Deep Q-Learning Implementation
  - Deep Q-Learning Visualization

• Part 2 - Deep Convolutional Q-Learning
  - Deep Convolutional Q-Learning Intuition
  - Deep Convolutional Q-Learning Implementation
  - Deep Convolutional Q-Learning Visualization

• Part 3 - A3C
  - A3C Intuition
  - A3C Implementation
  - A3C Visualization

• Annex 1: Artificial Neural Networks

• Annex 2: Convolutional Neural Networks

In each of these parts you will get:

• Intuition Lectures

• Code Templates

• Additional Resource

You can find all the code templates and additional resource on the following link:

https://www.tfcertification.com/pages/artificial-intelligence

Inside, you can get the Folder Structure of the course in Section 1, which is the whole course folder containing our three modules in empty sub-folders. Then you can populate them with either your own codes or the code templates, as you progress in the course.

We wish you a great AI journey!

Cheers,

Kirill & Hadelin