Retrieval Augmented Generation (RAG)
Completed by Zhen Yang
August 20, 2025
31 hours (approximately)
Zhen Yang'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: Retrieval-Augmented Generation
- Category: Embeddings
- Category: Artificial Intelligence
- Category: Vector Databases
- Category: Fine-tuning
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: System Monitoring
- Category: Application Security
- Category: Prompt Engineering
- Category: LLM Application
