Udemy – LangChain Course: Build Production AI with RAG & Agents

Master LangChain by building 4 production AI systems from scratch. This hands-on course skips theory and teaches you to build real AI applications that handle actual business problems.

What You’ll Build:

• Email Classifier – Route customer emails automatically using Pydantic schemas for type-safe validation. Learn temperature settings, confidence scoring, and fallback patterns that prevent production crashes. Achieve 70% accuracy on real datasets.
• RAG QA Bot – Create a documentation question-answering system using retrieval-augmented generation. Master vector embeddings with FAISS, semantic search, document chunking strategies, and hallucination prevention. Build bots that search your docs instead of inventing answers.
• Meeting Task Extractor – Parse messy meeting notes into structured action items with owners, deadlines, and commitment levels. Master nested Pydantic models, optional fields, and advanced prompt engineering that handles pronouns and ambiguous phrasing.
• Data Analysis Agent – Build autonomous AI agents that write and execute their own pandas code to answer business questions. No SQL knowledge required—ask “Which product made the most revenue?” and get instant answers.
• LangChain Fundamentals – Master the 4 core abstractions (Prompts, Models, Parsers, Chains) that power every AI application. Understand chains vs agents, when to use each, and production deployment patterns.
• Production-Ready Patterns – Handle errors gracefully, implement retry logic, optimize token costs with GPT-4o-mini, prevent hallucinations with grounded prompts, and debug agent thinking processes.