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Reinforcement Learning Training in India

Practical Reinforcement Learning Training in India With Live Projects and Certification

Reinforcement learning training teaches you to build agents that learn by trial and reward — covering Markov decision processes, Q-learning, policy gradients, PPO and RLHF for aligning language models. CraftVoy's Reinforcement Learning training in India is an instructor-led, 8 weeks programme with hands-on labs, a capstone project and CraftVoy certification, available online and offline.

8 Weeks
Online + Offline
Advanced
Max 25 students
Enrol NowCall +91 97918 17766

What You Get

Implement Q-learning, policy gradients and PPO from first principles
Train agents in Gymnasium simulation environments
Understand RLHF and how it aligns large language models
Live instructor-led sessions with recordings
Capstone project reviewed by CraftVoy mentors
CraftVoy certification on completion

Who Is This For

  • ML engineers and researchers targeting RL roles
  • Engineers working on robotics, simulation or optimisation
  • AI practitioners who want to understand RLHF and model alignment

Learning Outcomes

  • Implement and tune core RL algorithms
  • Design environments and reward functions that avoid exploits
  • Explain how RLHF shapes modern language models

Curriculum

1

Module 1: RL Foundations

  • Agents, environments, rewards and policies
  • Markov decision processes
  • Exploration versus exploitation
2

Module 2: Value-Based Methods

  • Dynamic programming and Monte Carlo methods
  • Q-learning and Deep Q-Networks
  • Stability tricks: replay buffers and target networks
3

Module 3: Policy-Based Methods

  • Policy gradients and actor-critic
  • PPO in practice
  • Continuous action spaces
4

Module 4: Environments and Reward Design

  • Gymnasium and custom environments
  • Reward shaping and its failure modes
  • Sim-to-real considerations
5

Module 5: RLHF and Applications

  • Reward models and human feedback
  • RLHF for language models
  • Capstone: train an RL agent on a business-style problem

Frequently Asked Questions

What is reinforcement learning used for?

It is used where decisions are sequential and feedback is delayed — for example robotics control, game playing, resource allocation, recommendations and aligning language models through RLHF.

What prerequisites are needed?

Comfort with Python, basic probability and a first course in machine learning or deep learning is recommended.

Is the Reinforcement Learning training available online and offline?

Yes. CraftVoy runs live online batches across India and classroom batches in select cities, including weekday and weekend options. Contact us for current batch dates.

Will I receive a certificate?

Yes. You receive a CraftVoy certificate after completing the sessions and capstone project.

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