Gen AI - RAG Application Development using LlamaIndex
Completed by Sergio Jimenez de Santiago
April 1, 2026
9 hours (approximately)
Sergio Jimenez de Santiago'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: Generative AI Agents
- Category: Application Development
- Category: Data Persistence
- Category: Query Languages
- Category: Embeddings
- Category: Data Pipelines
- Category: Large Language Modeling
- Category: Agentic Workflows
- Category: LLM Application
- Category: Retrieval-Augmented Generation
- Category: Prompt Patterns
- Category: Tool Calling
