Retrieval Augmented Generation (RAG)
Completed by Andrew Novak
February 1, 2026
31 hours (approximately)
Andrew Novak'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: LLM Application
- Category: Application Security
- Category: Retrieval-Augmented Generation
- Category: Prompt Engineering
- Category: Fine-tuning
- Category: Artificial Intelligence
- Category: System Monitoring
- Category: Model Evaluation
- Category: Vector Databases
- Category: Large Language Modeling
- Category: Embeddings
