Retrieval Augmented Generation (RAG)
Completed by Daniel Gebre
March 25, 2026
31 hours (approximately)
Daniel Gebre'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: Model Evaluation
- Category: Embeddings
- Category: Prompt Engineering
- Category: Retrieval-Augmented Generation
- Category: Application Security
- Category: Large Language Modeling
- Category: System Monitoring
- Category: Fine-tuning
- Category: LLM Application
