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Certification

Certification: Build RAG Applications with Python and LangChain for AI Solutions

Show the world you have AI skills—master Retrieval Augmented Generation (RAG) with Python and LangChain. Gain hands-on experience designing advanced AI solutions and add an in-demand credential to your professional profile.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert · Technical

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.

  1. 01Overview5:53
  2. 02Indexing and retrieval9:59
  3. 03Generation6:22
  4. 04Multi-query6:06
  5. 05RAG Fusion5:37
  6. 06Decomposition6:34
  7. 07Step-back and HyDE11:36
  8. 08Routing7:01
  9. 09Query construction5:57
  10. 10Multi-representation indexing6:34
  11. 11RAPTOR7:40
  12. 12ColBERT7:13
  13. 13Corrective RAG (CRAG)17:37
  14. 14Adaptive RAG27:53
  15. 15The future of RAG21:09
About the course

The Certification: Build RAG Applications with Python and LangChain for AI Solutions equips you with essential skills to design and implement Retrieval Augmented Generation (RAG) systems. Gain expertise in advanced techniques that can lead to increased productivity, improved decision-making, and a future-proof career in AI. Enroll today to unlock your potential and stay ahead in the evolving world of artificial intelligence.

This certification covers the following topics:

  • RAG Definition and Core Steps
  • Advanced RAG Techniques (Query Translation)
  • Routing
  • Query Construction
  • Indexing Strategies
  • Retrieval and Ranking
  • Generation
  • Evaluation and Monitoring (LangSmith)
  • The Evolving Role of RAG in the Age of Long Context LLMs
  • Active RAG and LangGraph Implementation

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.