Retrieval Augmented Generation (RAG)
Completed by Earwin Wilfried Tchebetchou Tsobeng
September 13, 2025
31 hours (approximately)
Earwin Wilfried Tchebetchou Tsobeng'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: System Monitoring
- Category: LLM Application
- Category: Fine-tuning
- Category: Artificial Intelligence
- Category: Vector Databases
- Category: Application Security
- Category: Embeddings
- Category: Retrieval-Augmented Generation
- Category: Model Evaluation
- Category: Large Language Modeling
- Category: Prompt Engineering
