Retrieval Augmented Generation (RAG)
Completed by Shao Chen
January 30, 2026
31 hours (approximately)
Shao Chen'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: Large Language Modeling
- Category: Fine-tuning
- Category: LLM Application
- Category: System Monitoring
- Category: Vector Databases
- Category: Application Security
- Category: Model Evaluation
- Category: Prompt Engineering
- Category: Artificial Intelligence
- Category: Retrieval-Augmented Generation
- Category: Embeddings
