Gen AI Course with Ollama, RAG, LangChain and LangGraph

About this course

Are you ready to go beyond theory and actually build AI applications that work? then you at the right place here. Hi, I’m Rakesh Kumar — a software architect and educator with 15+ years of experience building enterprise applications .This course is designed for developers who want to become AI builders, not just prompt writers. You’ll learn how to develop, configure, and deploy real-world AI systems using Python, JupyterLab, and modern SDKs like Ollama, OpenAI, Gemini, LangChain, LangGraph and also cover RAG examples using FAISS and 'Gemini File search Tool' too . Throughout all practical videos, you’ll gain hands-on experience creating, debugging, and connecting multiple AI frameworks.

From installing Ollama locally to integrating Gemini’s APIs, from building dynamic LangChain graphs to developing your own AI Agent, everything is covered step-by-step with live coding in Python.

By the end of this course, you will be able to:

• Set up and run local LLMs using Ollama
• Explore working of RAG applications with code examples.
• Connect and interact with ChatGPT (OpenAI) and Gemini (Google) APIs
• Create intelligent workflows with LangChain and LangGraph
• Design conditional logic, multi-node agents, and autonomous AI systems
• Use Python and JupyterLab for clean, efficient, and modular AI development100% practical approach — less theory, more coding
• Includes real projects with LangChain and LangGraph

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