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