LangChain: Build Generative AI Applications
 
Course Description
LangChain: Build GenAI Apps Using LangChain is a comprehensive, hands-on course designed to help you master LangChain, a powerful framework for building advanced generative AI applications. Whether you're just starting out or looking to enhance your technical capabilities, this course takes you step-by-step from foundational concepts to building fully functional AI-driven systems that leverage memory, Retrieval-Augmented Generation (RAG), tools, and agents.
 
What You’ll Learn
Build your first LangChain application and set up a complete development environment.
Master prompt patterns, chains, and runnables to create flexible and interactive AI workflows.
Implement dynamic execution flows and output parsing to fine-tune your AI responses.
Utilize memory in LangChain to develop context-aware conversational AI models.
Construct a RAG pipeline to enhance your data retrieval and response accuracy.
Develop and integrate custom tools and agents to extend your application’s functionality.
Use LangSmith for application monitoring, testing, and optimization.
Design intuitive user interfaces with Streamlit for real-world deployment.
 
Who This Course Is For
AI developers aiming to design and deploy next-generation generative AI solutions.
Data scientists seeking to enhance their models with memory and retrieval-based methods.
Software engineers looking to implement adaptive and interactive AI workflows.
Tech enthusiasts curious about emerging frameworks for AI application development.
AI researchers exploring new ways to improve conversational AI and information retrieval.
Product managers who want to understand LangChain’s capabilities for leading AI-driven projects.
 
Prerequisites
A basic understanding of Python programming and general AI concepts is recommended. No prior experience with advanced AI frameworks is required — just a computer with internet access and a drive to learn.