Build AI Agents in Hindi (Hinglish)

About this course

Are you excited about building real AI agents that can think, plan, and act autonomously—just like a virtual teammate?

In this hands-on, project-based course, you’ll learn to build intelligent, self-operating AI agents from scratch using Python, OpenAI (GPT-4), Transformers, and Autogen. But we go much deeper than that.

You’ll explore the core machine learning techniques that power modern agents—starting with Natural Language Processing (NLP), Reinforcement Learning (RL) and Proximal Policy Optimization (PPO), one of the most powerful policy-gradient methods used in real-world agent training.

Whether you're a developer, data scientist, or AI enthusiast, this course gives you a complete, end-to-end blueprint to build agents that can learn from feedback, and autonomously interact with the world around them—via tools, APIs, and even other agents.

You’ll learn how to:

• Build your own AI agent framework from scratch in Python
• Use LLMs (like GPT-4, Claude, and open-source models) for intelligent planning
• Apply Transformers and NLP techniques to process and understand language
• Train agents using Reinforcement Learning (RL) and PPO for goal-directed behavior
• Use Autogen to coordinate multi-agent systems with autonomy and collaboration

By the end of this course, you won’t just know how AI agents work—you’ll have built and trained your own, combining deep learning, NLP, transformers, and reinforcement learning to create systems that adapt, learn, and operate independently.

This course is ideal for anyone looking to move beyond passive l

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