Introduction to Retrieval Augmented Generation (RAG)
Completed by Muhammad Inam
April 30, 2026
3 hours (approximately)
Muhammad Inam'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: Google Gemini
- Category: LangChain
- Category: Retrieval-Augmented Generation
- Category: Agentic Workflows
- Category: Prompt Engineering
- Category: Vector Databases
- Category: OpenAI API
- Category: Tool Calling
- Category: Large Language Modeling
- Category: LLM Application
- Category: Generative AI Agents
- Category: Token Optimization

