Master LangChain and Build AI-Powered LLM Applications from Scratch
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.
✅ Understand what LangChain is and why it’s essential for building LLM-powered systems ✅ Explore LangChain components, packages, and supporting libraries ✅ Manage API keys and environment variables securely ✅ Build your first LangChain-powered LLM app step-by-step ✅ Master Prompt Templates, Chaining Mechanisms, and Output Parsers (String, JSON, Pydantic) ✅ Work with Document Loaders to ingest PDFs, text files, and web pages ✅ Learn advanced Text Splitting techniques for context optimization ✅ Create and use Embeddings with Hugging Face and Ollama ✅ Integrate and optimize Vector Databases for fast information retrieval ✅ Implement FAISS and Pinecone vector stores in real projects ✅ Build and deploy a complete RAG pipeline using LangChain
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.
1. AI & Data Science Students who want to step into the world of Generative AI
2. Developers & Engineers looking to integrate LLMs into their applications
3. Researchers & Innovators exploring RAG pipelines and intelligent retrieval systems
4. Tech Professionals building next-gen products with LangChain, OpenAI, and Python
1. LangChain Framework 2. OpenAI GPT APIs
3. Hugging Face Transformers
4. Ollama
5. FAISS
6. Pinecone
7. Vector Databases
8. RAG (Retrieval-Augmented Generation)
Generative AI is the future — and LangChain is at its core.
By joining this course, you’re not just learning a tool; you’re learning how to build AI systems like ChatGPT, Copilot, and Claude — from scratch.
So don’t wait — enroll today and start building your own intelligent, data-aware applications with LangChain!