LangChain for LLM Application Development

DeepLearning.AI intermediate micro-course free ~1 hours
Prerequisites: Python, basic LLM understanding
agents rag

Harrison Chase (LangChain CEO) and Andrew Ng’s one-hour introduction to building LLM applications with LangChain. Covers chains, memory, prompts, and agents. The fastest way to understand what LangChain does and whether it’s the right framework for your use case. Pair with the RAG from Scratch learning path to go deeper into retrieval-augmented generation patterns.