Video course · 14 chapters · 60 min · certificate
Build Advanced Research AI Multi-Agent Systems with LlamaIndex Workflows
Build a deep research multi-agent system with LlamaIndex Workflows: agentic AI trends, setup, Tavily search tools, single agents, context and state, streaming, human-in-the-loop, multi-agent systems, custom workflows, control flow, concurrency and a three-agent research system.
What you'll learn
- Set up LlamaIndex agent workflows
- Create search tools with Tavily
- Manage context and state
- Stream output and add human-in-the-loop
- Build multi-agent and custom workflows
- Run steps concurrently in a deep research system
Chapters
14 chapters · 60:26-
2:20
01Intro Members
Introduction and agentic AI trends
Why agents now.
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2:22
02Setup Members
Setting up the workflow
Notebook and environment.
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2:33
03Tools Members
Creating tools
Tavily web search.
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1:41
04Agents Members
Building a single agent
AgentWorkflow from tools.
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1:43
05Context Members
Managing agent context
Remembering across runs.
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1:42
06State Members
Stateful agent tools
Tools that read and write state.
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2:45
07UX Members
Streaming output
Don't make users wait.
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4:16
08Control Members
Human-in-the-loop
Confirmation before actions.
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8:02
09Multi-agent Members
Multi-agent systems
Agents handing off.
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4:06
10Workflows Members
Custom workflows
Beyond AgentWorkflow.
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3:38
11Control Members
Advanced control flow
Branching and loops.
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12:03
12Concurrency Members
Concurrent execution
Parallel steps.
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5:10
13Capstone Members
Deep research system
Question, answer and report agents.
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8:05
14Wrap-up Members
Q&A and wrap-up
Questions and bonus.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.