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This guide breaks an AI agent into its parts before any building starts. It explains the difference between a chatbot and an agent, and how tools, APIs and schemas let a model act on the outside world. Those explanations come first, so the builds that follow make more sense.
Several hands-on builds follow, done with no-code platforms, and each adds a new capability such as tool use or the difference between conversational and automated behaviour. The final part shifts from building to business: where the opportunities sit, how to close the knowledge gap that creates demand, and how to land first clients.
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"I made a brand new AI Agents course for 2026 👉 https://youtu.be/AYQtRqW1xX4?si=IW4EYwtwULGIK-od"
This full course on AI agents is segmented into three chapters: foundational understanding of AI agents, hands-on tutorials for building various AI use cases, and strategies for monetization. You’ll gain insights into the anatomy of AI agents, practical steps for creating them using no-code platforms, and real-world applications to seize the growing opportunities in AI.
Timestamps:
0:00 - What We’re Covering
2:39 - Why Learn to Build AI Agents?
5:39 - What Are AI Agents?
6:40 - Chatbot or Agent?
8:44 - Anatomy of an AI Agent
12:34 - The Three Ingredients
13:58 - The Web, APIS, and Tools Explained
17:04 - Anatomy of a Tool
18:40 - Schemas: API Instruction Manuals
23:00 - Advanced Tools Use
26:11 - Conversational or Automated Agents
29:23 - Real-World Applications
32:39 - Foundations Summary
35:00 - What We’re Building
38:34 - Build 1
1:11:12 - Build 2
1:47:44 - Build 3
3:01:29 - Build 4
3:35:29 - The Real Opportunity
3:39:47 - Three Ways to Win
3:41:30 - Extending Your Knowledge Gap
3:45:49 - Getting Your First Clients
3:48:46 - Next Steps
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