Build GenAI Apps Using LangChain – Zero to Hero
 
Build GenAI Apps Using LangChain is your complete, step-by-step guide to mastering LangChain—one of the most powerful frameworks for building cutting-edge Generative AI applications. Whether you’re creating intelligent chatbots, retrieval-augmented systems, multi-agent workflows, or custom AI tools, this course takes you from foundational concepts to fully deployed, production-ready AI solutions.
 
What You’ll Learn
Build your first LangChain application and set up a clean, scalable development environment.
Master prompt patterns, chains, and runnables to design flexible, intelligent interaction flows.
Implement dynamic execution logic and output parsing to enhance accuracy and reliability.
Use memory modules to create context-aware conversational AI with long-term recall.
Build a complete RAG (Retrieval-Augmented Generation) pipeline to supercharge your AI with your own data.
Create and integrate custom tools and agents to expand the capabilities of your applications.
Monitor, debug, and optimize your systems with LangSmith for top-tier performance.
Design intuitive AI interfaces using Streamlit to deliver a refined end-user experience.
 
Who This Course Is For
AI developers eager to build and launch advanced GenAI applications using LangChain.
Data scientists looking to enhance models with memory, RAG pipelines, and custom tool integrations.
Software engineers wanting to master dynamic, agent-driven AI application development.
Tech enthusiasts and innovators exploring next-generation frameworks for intelligent systems.
AI researchers working on conversational AI, retrieval systems, and agentic workflows.
Product managers seeking practical understanding of LangChain’s capabilities to guide AI-driven product strategy.
 
Prerequisites
Basic Python skills, foundational AI knowledge, and a computer with internet access are recommended—no advanced AI experience required.