Retrieval Augmented Generation (RAG)
Completed by Nathan Mekuria
August 25, 2025
31 hours (approximately)
Nathan Mekuria'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: Prompt Engineering
- Category: Vector Databases
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Application Security
- Category: System Monitoring
- Category: Retrieval-Augmented Generation
- Category: Large Language Modeling
- Category: Embeddings
- Category: Artificial Intelligence
- Category: LLM Application
