Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Necessary preparation

• High School Maths.
• Basic Python knowledge.

For those who want to

• Understand  Artificial Intelligence, Machine Learning or Deep Learning.

The Program 

1. Welcome to the course!
2. Part 0 — Fundamentals Of Reinforcement Learning.
3. Q-Learning Instuition.
4. Q-Learning Visualization.
5. Part 1 -Deep Q -Learning.
6. Deep Q- Learning Intuition.
7. Deep Q- Learning Implementation.
8. Deep Q — Learning Visualization.
9. Part 2 — Deep Convolutional Q-Learning Instuition.
10. Deep Convolutional Q-Learning Implementation.
11. Deep Convolutional Q-Learning Visualization.
12. Part 3 — A3C
13. A3C Instuition
14. A3C Implementation
15. A3C Visualization
16. Annex 1: Artificial Neural Networks.
17. Annex 2: Convolutional Neural Networks.
18. Bonus Lectures.

What will you learn

• Build an AI.
• Make a virtual Self Driving Car.
• Solve Real World Problems with AI.
• Q-Learning.
• Deep Convolutional Q-Learning.
• Understand the theory behind Artificial Intelligence.
• Make an AI to beat games.
• Master the State of the Art AI models.
• Deep Q-Learning.
• A3C.