Overview What You Will Learn Curriculum Instructor

Course Overview

Reinforcement learning is an important paradigm shift in Artificial Intelligence, and it opens the path for AGI, from the finance industry to robotics RL can play a key role in shaping the future of AI. 

In this course, you will understand everything you need to know about reinforcement learning from understanding basic building blocks & frameworks to understanding the RL algorithms to build AI game agents to play games using RL. 

After the course, you will have a solid idea of how RL/AI agents get trained to do from simple tasks to complex tasks. For all that, you just need to have a computer and knowledge from the course so you will build AI agents easily.

What You Will Learn

  • Understanding RL at a high level
  • Learning about Markov Decision Process (MDP)
  • Types of RL and RL concepts and Terminologies
  • Model based Dynamic Programming Policy and Value algorithms
  • Model free Methods (Monte Carlo and Temporal-Difference)
  • Understanding SARSA and Q-Learning
  • Deep Q- Learning
  • Policy gradient methods
  • Knowledge about DDPG
  • A2C/A3C
  • PPO
  • etc
  • Python codes for all the algorithms from scratch

Program Curriculum

  • Reinforcement Learning in Detail
  • Markov Decision Process (MDP)
  • Dynamic Programming (Policy Iteration Algorithm)
  • Dynamic Programming (Value Iteration Algorithm)
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Model Free RL Concepts
  • Monte Carlo Algorithms
  • Temporal-Difference algorithm (SARSA)
  • Temporal-Difference algorithm (Q Learning)
  • Chapter 2 Quiz

  • Deep Q Learning (DQN)
  • Policy Gradient Methods
  • DDQN and DDPG Algorithms
  • Actor Critic Algorithms
  • Chapter 3 Quiz

  • Use Case 1 applying RL to Vision Data
  • Use Case 2 Applying RL to Finance Domain or any other Domain
  • Conclusion
  • Chapter 4 Quiz

Instructor

Madhu Sanjeevi

Madhu Sanjeevi (Mady) has a computer science background with 5 years of working experience in the IT industry building software, he has been so passionate about AI over the last 4 years building AI systems in various companies in India and Italy. He also would love to share his knowledge by writing blogs (written over 25+ articles on Machine/Deep/Reinforcement learning) conducting meetups of AI in various metro cities in India and Italy (Conducted over 20+ meetups). Currently, he is working for his AI start-up.

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