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