Build AI Agents & RAG Apps with LangChain & CrewAI

About this course

Build real-world Generative AI applications using the latest tools like LangChain, RAG, AI Agents (CrewAI), and Hugging Face—all in one complete, hands-on course.

This course takes you from absolute setup to advanced AI systems, helping you understand not just how things work, but how to build production-ready AI applications.

Get Started from ScratchSet up your development environment with ease:

Install Anaconda, Jupyter Notebook, and VS Code

Master Jupyter Notebook Markdown for clean workflows

Enable GPU with CUDA, cuDNN, and PyTorch

Learn Python for AI (Beginner Friendly)Build a strong foundation in Python:

• Variables, data types, and type conversion
• Control statements, loops, and functions
• Core data structures: lists, tuples, sets, dictionaries, strings
• Understand AI, ML & Generative AIAI, Machine Learning, Deep Learning & Generative AI explained
• Evolution and history of AIDeep dive into Transformers & Attention Mechanism (Encoder–Decoder)Master Foundation Models & Responsible AI
• What are Foundation Models and how they work
• Applications, types, and real-world examples
• Compare top open-source LLMs and choose the right model
• Learn Responsible AI practices and bias mitigation
• Build LLM Apps with LangChainChains, Agents, and Memory explained
• Build powerful LLM-driven applications step by step
• Master RAG (Retrieval-Augmented Generation)

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