LangChain- Develop LLM powered applications with LangChain

Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python, Latest Version 0.3.0)

Created by: Eden Marco | LLM Specialist
Best Selling Instructor

What Will I Learn?

• Become proficient in LangChain
• Have 3 end to end working LangChain based generative AI applications
• Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
• Understand how to navigate inside the LangChain opensource codebase
• Large Language Models theory for software engineers
• LangChain: Lots of chains Chains, Agents, DocumentLoader, TextSplitter, OutputParser, Memory
• RAG, Vectorestores/ Vector Databasrs (Pinecone, FAISS)
• Model Context Protocol

Requirements

• This is not a beginner course. Basic software engineering concepts are needed
• I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
• No Machine Learning experience is needed.

Target audience

• Software Engineers that want to learn how to build Generative AI based applications with LangChain
• Developers that want to learn how to build Generative AI based applications with LangChain
• Engineers that want to learn how to build Generative AI based applications with LangChain