Retrieval Augmented Generation (RAG)
Completed by Chris Kim
August 27, 2025
31 hours (approximately)
Chris Kim'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: Embeddings
- Category: Large Language Modeling
- Category: Fine-tuning
- Category: LLM Application
- Category: Artificial Intelligence
- Category: Vector Databases
- Category: Application Security
- Category: System Monitoring
- Category: Retrieval-Augmented Generation
- Category: Prompt Engineering
- Category: Model Evaluation
