Retrieval Augmented Generation (RAG)
Completed by Daniel Nesbitt
October 19, 2025
31 hours (approximately)
Daniel Nesbitt'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: Fine-tuning
- Category: LLM Application
- Category: System Monitoring
- Category: Large Language Modeling
- Category: Prompt Engineering
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Vector Databases
- Category: Retrieval-Augmented Generation
- Category: Application Security
- Category: Embeddings
