RAG with LangChain: Build an LLM Pipeline in 2 Hours (Video Course) is a focused certification that takes you from idea to a production-ready retrieval-augmented generation system. You'll master the essentials,ingestion, chunking, embeddings, retrieval, Chroma/FAISS, prompts, and evaluation,so you ship clean LangChain code faster, make better decisions with citations, and stay competitive in a fast-moving field. Enroll today to get a practical toolkit you can apply the same day and build with confidence in under two hours.
This certification covers the following topics:
- RAG architecture: ingestion pipeline and retrieval/generation pipeline
- Document ingestion: loaders, cleaning, normalization, and metadata tagging
- Chunking strategies and windowing for higher-quality recall
- Embedding model selection and configuration
- Vector stores in practice: Chroma vs FAISS, indexing, filtering, and updates
- Prompt design that reduces hallucinations, with citations and confidence scores
- Advanced retrieval techniques: hybrid search, reranking, and query expansion
- Clean, modular LangChain code structure and components
- Evaluation and monitoring: quality checks, regression tests, and guardrails
- Scaling, performance tuning, and cost optimization
- Security, privacy, and access control for RAG systems
- From prototype to production: deployment patterns and common pitfalls
