This LangChain 101 course is a beginner-friendly introduction to building AI applications using LangChain and large language models like ChatGPT. The course is designed to help learners understand core concepts and apply them in real-world use cases such as chatbots, document Q&A systems, and AI agents.
The course begins with an overview of LangChain, explaining what it is and how it helps developers build applications powered by large language models. Learners are then introduced to a quickstart guide that shows how to set up and use LangChain effectively.
A major focus of the course is the LangChain Cookbook, which breaks down essential concepts and practical use cases. Students learn how to build systems that can answer questions from custom or private files, integrate external data sources like Google Drive, and process YouTube transcripts for AI-based search and summarization.
The course also explores retrieval-augmented generation (RAG), allowing AI systems to work with large documents such as books or knowledge bases using vector databases like Pinecone.
In addition, learners are introduced to AI agents and tools that enable LangChain to interact with external services like Google Search and Wolfram Alpha.
By the end of this course, learners will understand the fundamentals of LangChain and be able to build practical AI applications that combine LLMs with real-world data sources.
