Retrieval Augmented Generation (RAG)
Completed by Zhenbang Wang
July 13, 2026
31 hours (approximately)
Zhenbang Wang's account is verified. Coursera certifies their successful completion of Retrieval Augmented Generation (RAG)
What you will learn
How to design and build RAG systems tailored to real-world needs
How to weigh tradeoffs between cost, speed, and quality to choose the right techniques for each component of a RAG system
A foundational framework to adapt RAG systems as new tools and methods emerge
Skills you will gain
- Category: LLM Application
- Category: Fine-tuning
- Category: Prompt Engineering
- Category: System Monitoring
- Category: Artificial Intelligence
- Category: Retrieval-Augmented Generation
- Category: Vector Databases
