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Introduction to Agentic AI

Free

Understand what AI agents actually are, how they work, and how to build with them. This course covers the core concepts (tools, memory, planning, safety) and pairs every idea with a hands-on example. No advanced technical background required.

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Tutorials & tasks

Explore freely — jump to any step at your own pace.

  1. 1What Is an AI AgentTutorial
  2. 2How Agents Use Tools: The Loop That Makes Everything WorkTutorial
  3. 3Prompt Engineering: Role, Context, and StructureTutorial
  4. 4Your First OpenClaw Automation: Clear Your InboxTutorial
  5. 5Build Your First n8n Workflow (Self-Hosted Automation)Tutorial
  6. 6Chat-based task automationTask
  7. 7Memory and State: How Agents Remember and Keep TrackTutorial
  8. 8Chaining Summarization and Writing: From Source to DraftTutorial
  9. 9Research Then Write: Chaining Perplexity and ChatGPTTutorial
  10. 10Workflow automationTask
  11. 11Extract Structured Data from Documents with ClaudeTutorial
  12. 12Extract structured data from documentsTask
  13. 13Set Up RAG in Open WebUI: Query Your DocumentsTutorial
  14. 14How Agents Plan: Thinking Before ActingTutorial
  15. 15Build AI agents and multi-agent workflowsTask
  16. 16Multi-model routing and fallbacksTask
  17. 17Build a Multi-Step AI Pipeline in ZapierTutorial
  18. 18Safety and Reliability: What Can Go Wrong When Agents Take Real ActionsTutorial

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