Introduction to Retrieval Augmented Generation (RAG)
Completed by Robin Mahanta
March 17, 2026
3 hours (approximately)
Robin Mahanta's account is verified. Coursera certifies their successful completion of Introduction to Retrieval Augmented Generation (RAG)
What you will learn
Demonstrate Large Language Model capabilities in Natural Language based Automations.
Demonstrate the use of RAG Applications in a range of problems they can solve.
Use Vector Databases as a Storage Medium of Language Embeddings in RAG Applications.
Develop RAG Applications using LLM Frameworks, Models and Vector Databases.
Skills you will gain
- Category: Gemini
- Category: LLM Application
- Category: Large Language Modeling
- Category: ChatGPT
- Category: Embeddings
- Category: Google Gemini
- Category: LangChain
- Category: Retrieval-Augmented Generation
- Category: Prompt Engineering
- Category: Vector Databases
- Category: Generative AI Agents
- Category: AI Workflows
