Hands-On Agentic AI: Building AI Agents with LlamaIndex
1h 9mIntermediate2025-02-03
Authors

Kumaran Ponnambalam
Working with data for 20+ years
Course details
AI agents are quickly becoming popular for their ability to make decisions autonomously and then act upon them. In this hands-on interactive course for AI and ML engineers, instructor Kumaran Ponnambalam helps you get up to speed with agentic AI capabilities in LlamaIndex, the popular framework that provides several building blocks to quickly create and deploy AI agents with ease. Along the way, explore a variety of different agentic AI use cases with LlamaIndex to understand popular patterns in agentic AI and how to implement them successfully with LlamaIndex.
Learning objectives
Explain the concepts and building blocks for agentic AI in LlamaIndex.
Create an AI agent for reflection, routing, and tool use.
Add query capabilities with retrieval-augmented generation (RAG) using LlamaIndex.
Perform operations on external systems autonomously.
Build multiagent systems with LlamaIndex.
Learning objectives
Explain the concepts and building blocks for agentic AI in LlamaIndex.
Create an AI agent for reflection, routing, and tool use.
Add query capabilities with retrieval-augmented generation (RAG) using LlamaIndex.
Perform operations on external systems autonomously.
Build multiagent systems with LlamaIndex.
Skills covered
LlamaIndexNatural Language Processing (NLP)Generative AIArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Analysis and StrategyOpen SourceOne-Off
Concepts
0. Introduction
- 01 - Introduction to the course
- 02 - Setting up codespaces
1. Agentic Concepts in LlamaIndex
- 03 - Agentic AI - A review
- 04 - AI agents in LlamaIndex
- 05 - Tools and toolspecs in LlamaIndex
- 06 - Set up LLM and tools for a LlamaIndex agent
- 07 - Create and execute a LlamaIndex agent
2. Build a Healthcare Assistant Agent
- 08 - What is ReAct
- 09 - Healthcare ReAct assistant - Design
- 10 - Set up Wikipedia tools for healthcare assistant
- 11 - Set up RAG for medications
- 12 - Set up and execute the healthcare agent
3. Build a Summarization Agent
- 13 - Summarization agent design
- 14 - Create the introspection agent
- 15 - Execute the introspection agent
4. Workflow Concepts in LlamaIndex
- 16 - Intro to LlamaIndex workflows
- 17 - LlamaIndex workflow components
- 18 - Managing data in LlamaIndex workflows
- 19 - A simple LlamaIndex workflow - Design
- 20 - Build and execute a simple LlamaIndex workflow
5. Build a Doctor Scheduling Assistant with Workflows
- 21 - Doctor scheduling assistant - Design
- 22 - Set up the doctor database tool
- 23 - Set up the doctor scheduling tool
- 24 - Set up custom events for scheduling
- 25 - Create a custom workflow for scheduling assistant
- 26 - Create and execute the scheduling agent
6. Multi-agent Systems with LlamaIndex
- 27 - Multi-agent systems
- 28 - Multi-agent hospital application - Design
- 29 - Importing agents in a multi-agent application
- 30 - Set up the multi-agent application
- 31 - Execute the multi-agent application
Conclusion
- 32 - Next steps
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Related learn paths
- Building Agentic AI Systems for Developers
- Building AI Agents: Advanced Techniques for Developers
- Generative AI Professional Certificate by Snowflake
- Understanding Generative AI for Tech Leaders
- Getting Started with Prompt Engineering
- Navigating the AI Ecosystem
- Technical Literacy and Future Readiness for Senior Managers and Senior Leaders
- Hands-On Data Science