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Certification

Certification in Building and Deploying Multi-Agent AI Systems with LlamaIndex

Get certified in Deep Research AI Multi-Agent Systems with LlamaIndex. Design collaborative AI agents to analyze, synthesize, and stream research insights, integrating human feedback for actionable, real-time decision support in complex projects.

Exam of 10 to 20 questionsCertificate for LinkedInExpert, technical

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 14 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and agentic AI trends2:20
  2. 02Setting up the workflow2:22
  3. 03Creating tools2:33
  4. 04Building a single agent1:41
  5. 05Managing agent context1:43
  6. 06Stateful agent tools1:42
  7. 07Streaming output2:45
  8. 08Human-in-the-loop4:16
  9. 09Multi-agent systems8:02
  10. 10Custom workflows4:06
  11. 11Advanced control flow3:38
  12. 12Concurrent execution12:03
  13. 13Deep research system5:10
  14. 14Q&A and wrap-up8:05
About the course

The "Deep Research AI Multi-Agent Systems with LlamaIndex: Tools, Context, and Workflows" certification equips professionals to design sophisticated AI agent systems capable of collaborative research and analysis. By mastering advanced agent workflows, real-time streaming, and seamless integration of human input, you will gain enhanced productivity, a competitive edge, and adaptability for future career growth. Enroll now to unlock practical skills that will drive better decision-making and elevate your expertise in AI-driven research.

This certification covers the following topics:

  • The Two Core AI Trends Enabling Advanced Agents
  • LlamaIndex: The AI Agent Development Framework
  • The Core Components of LlamaIndex Agents
  • Integrating and Defining Tools in LlamaIndex
  • Agent Workflow: Rapid Agent Prototyping
  • Context and State Management: Making Agents Remember
  • Streaming Output: Real-Time User Feedback
  • Human-in-the-Loop: Integrating Human Judgment
  • Multi-Agent Systems: Dividing and Conquering Complex Tasks
  • Function Agent vs. React Agent: Choosing the Right Agent Type
  • Custom Workflows: Building from Scratch for Total Control
  • Parallelization and Event Collection: Doing More, Faster

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.