Certification
Certification in Building and Deploying RAG LLM Pipelines with LangChain
Become certified in RAG with LangChain. Prove you can build and ship a production-ready LLM pipeline: data ingestion, chunking, embeddings, Chroma/FAISS retrieval, prompt design, eval, and citations. Deliver reliable, citable answers at scale.

The exam
Take the certification exam
Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
2 questions from each of the 15 chapters of the course
20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01What RAG is8:14
- 02The RAG pipeline8:59
- 03Technical steps and plan4:09
- 04Ingestion theory and setup9:01
- 05Document structure8:02
- 06Text loading5:11
- 07PDF loading6:54
- 08Chunking and metadata5:35
- 09Vector database theory5:52
- 10Implementing embeddings6:50
- 11Vector store implementation10:12
- 12Retrieval pipeline11:23
- 13LLM integration10:10
- 14Advanced RAG6:15
- 15Modular RAG application21:22
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
Jobs this certification suits
Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.