Course Details

Applied Reinforcement Learning

Train autonomous agents for gaming, robotics, and complex decision-making systems using modern RL algorithms.

10 Weeks₹76,000

Hands-on Highlights

This program is designed around shipping functional, production-ready AI applications from day one. You will move beyond theory and build real products.

1Implement Q-Learning from scratch
2Train a Deep Q-Network (DQN) to play Atari games
3Apply PPO (Proximal Policy Optimization) to robotics simulations
4Build a multi-agent trading environment

Detailed Syllabus

Week 1-2

RL Fundamentals

→Markov Decision Processes (MDP)
→Value Iteration and Policy Iteration
→Exploration vs Exploitation (Epsilon-Greedy)
→Implementing Q-Learning from scratch

Week 3-5

Deep Q-Networks (DQN)

→Combining deep learning with Q-learning
→Experience Replay and Target Networks
→Solving OpenAI Gym environments
→Training an agent to play Atari games

Week 6-8

Policy Gradients & PPO

→The REINFORCE algorithm
→Actor-Critic architectures
→Proximal Policy Optimization (PPO) theory
→Applying PPO to continuous control (Mujoco)

Week 9-10

Multi-Agent RL & Advanced Topics

→Multi-Agent environments (PettingZoo)
→Reward shaping strategies
→Offline reinforcement learning
→Capstone project: Custom RL agent

Format & Location

Hybrid Learning

Choose between intensive IRL bootcamps at our physical campuses in Pondicherry, Vellore, or Coimbatore, or join our flexible online programs designed for working professionals.

Prerequisites

Who is this for?

We assume a fundamental understanding of Python and basic programming concepts. This is for developers looking to master deep learning and build real AI products.

Elite Mentorship

Learn from builders

Learn directly from engineers who have built and scaled AI systems. Get code reviews, architecture feedback, and career guidance.

Outcomes

Ship real products

Our primary focus is helping you build a strong portfolio of real, deployed AI products to show employers. All graduates receive a verifiable certificate.

Ready to build?

Join our next cohort to get started.

Apply Now