Unlock the power of LangChain — the revolutionary framework transforming how developers build Generative AI and LLM-powered applications. In this hands-on, end-to-end LangChain course, you’ll learn to design, code, and deploy real-world AI apps that use Retrieval-Augmented Generation (RAG), Embeddings, and Vector Databases like FAISS and Pinecone.
By the end, you won’t just understand LangChain — you’ll be building production-grade AI systems that connect Large Language Models (LLMs) directly to your data.
What You’ll Learn:
- 1. Understand what LangChain is and why it’s essential for building LLM-powered systems
- 2. Explore LangChain components, packages, and supporting libraries
- 3. Manage API keys and environment variables securely
- 4. Build your first LangChain-powered LLM app step-by-step
- 5. Master Prompt Templates, Chaining Mechanisms, and Output Parsers (String, JSON, Pydantic)
- 6. Work with Document Loaders to ingest PDFs, text files, and web pages
- 7. Learn advanced Text Splitting techniques for context optimization
- 8. Create and use Embeddings with Hugging Face and Ollama
- 9. Integrate and optimize Vector Databases for fast information retrieval
- 10. Implement FAISS and Pinecone vector stores in real projects
- 11. Build and deploy a complete RAG pipeline using LangChain
Why This Course?
This isn’t just another AI theory class — it’s 100% project-driven.
You’ll code alongside your instructor, Pratham Chandratre, and build multiple real-world AI apps that connect LLMs to real data sources. Each module moves you from concept → implementation → deployment, with clear explanations, practical examples, and hands-on exercises.
By the end, you’ll have a complete portfolio of working AI projects that you can showcase to employers or clients.
Who This Course Is For:
- AI & Data Science Students who want to step into the world of Generative AI
- Developers & Engineers looking to integrate LLMs into their applications
- Researchers & Innovators exploring RAG pipelines and intelligent retrieval systems
- Tech Professionals building next-gen products with LangChain, OpenAI, and Python
