Gen AI - RAG Application Development using LlamaIndex
Completed by Mark Wee
February 20, 2026
9 hours (approximately)
Mark Wee's account is verified. Coursera certifies their successful completion of Gen AI - RAG Application Development using LlamaIndex
What you will learn
Master prompt engineering, including conversational and advanced prompts for AI applications.
Develop RAG applications using LlamaIndex with SQL and Chroma DB vector databases.
Implement different query pipelines (sequential, DAG, dataframe) for optimized data handling.
Build practical applications, including calculators and document agents with dynamic tools.
Skills you will gain
- Category: LLM Application
- Category: Retrieval-Augmented Generation
- Category: Prompt Patterns
- Category: Agentic Workflows
- Category: Data Persistence
- Category: Query Languages
- Category: Generative AI Agents
- Category: Agentic systems
- Category: Tool Calling
- Category: Data Pipelines
- Category: Embeddings
- Category: Large Language Modeling
