<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Education on Jorge Laurel</title><link>https://jorgelaurel.com/topics/ai-education/</link><description>Recent content in AI Education on Jorge Laurel</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 30 Aug 2026 18:00:06 +0000</lastBuildDate><atom:link href="https://jorgelaurel.com/topics/ai-education/index.xml" rel="self" type="application/rss+xml"/><item><title>Lesson 7: Real Examples, Putting It All Together</title><link>https://jorgelaurel.com/writing/lesson-7-real-examples-putting-it-all-together/</link><pubDate>Sun, 30 Aug 2026 18:00:06 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-7-real-examples-putting-it-all-together/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/35b03fc7e7726f2e.png" alt="Lesson 7: Real Examples, Putting It All Together"&gt;
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&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item><item><title>Lesson 6: Agentic Systems, When Agents Work Together</title><link>https://jorgelaurel.com/writing/lesson-6-agentic-systems-when-agents-work-together/</link><pubDate>Sat, 29 Aug 2026 18:00:02 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-6-agentic-systems-when-agents-work-together/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/a8475669d81e4534.png" alt="Lesson 6: Agentic Systems, When Agents Work Together"&gt;
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&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item><item><title>Lesson 5: Tools and Function Calling</title><link>https://jorgelaurel.com/writing/lesson-5-tools-and-function-calling/</link><pubDate>Fri, 28 Aug 2026 18:00:10 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-5-tools-and-function-calling/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/f76c793b68c42a94.png" alt="Lesson 5: Tools and Function Calling"&gt;
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&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item><item><title>Lesson 4: How an Agent “Decides” What to Do</title><link>https://jorgelaurel.com/writing/lesson-4-how-an-agent-decides-what-to-do/</link><pubDate>Thu, 27 Aug 2026 18:00:13 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-4-how-an-agent-decides-what-to-do/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/ee56605acb7cc9ad.png" alt="Lesson 4: How an Agent “Decides” What to Do"&gt;
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&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item><item><title>Lesson 3: The Building Blocks of an Agent</title><link>https://jorgelaurel.com/writing/lesson-3-the-building-blocks-of-an-agent-jorge-laurel/</link><pubDate>Wed, 26 Aug 2026 18:00:07 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-3-the-building-blocks-of-an-agent-jorge-laurel/</guid><description>&lt;p&gt;1d&lt;/p&gt;
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&lt;p&gt;Strip an AI agent down to its studs and you get four parts. A model, tools, memory, and instructions. The model is the reasoning engine. Tools are the hands, the ability to check the weather, query a database, send a message. Memory is the notes, information stored outside the model so a long task doesn&amp;rsquo;t fall apart the moment something scrolls out of view. Instructions set the boundaries for what it&amp;rsquo;s supposed to do in the first place. Miss any one of these and the whole thing breaks in a specific, predictable way. Lesson 3, of my 7 lesson series, breaks down each piece and why it exists. &lt;a href="https://www.linkedin.com/signup/cold-join?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Fagenticai&amp;amp;trk=public_post-text"&gt;#AgenticAI&lt;/a&gt; &lt;a href="https://www.linkedin.com/signup/cold-join?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Faiarchitecture&amp;amp;trk=public_post-text"&gt;#AIArchitecture&lt;/a&gt; &lt;a href="https://www.linkedin.com/signup/cold-join?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Faiagents&amp;amp;trk=public_post-text"&gt;#AIAgents&lt;/a&gt; &lt;a href="https://www.linkedin.com/signup/cold-join?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Ftechexplained&amp;amp;trk=public_post-text"&gt;#TechExplained&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Lesson 2: From Chatbot to Agent</title><link>https://jorgelaurel.com/writing/lesson-2-from-chatbot-to-agent/</link><pubDate>Tue, 25 Aug 2026 18:00:05 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-2-from-chatbot-to-agent/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/a928b8ce05b82603.png" alt="Lesson 2: From Chatbot to Agent"&gt;
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&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item><item><title>Lesson 1: What Is AI, Really?</title><link>https://jorgelaurel.com/writing/lesson-1-what-is-ai-really/</link><pubDate>Mon, 24 Aug 2026 18:00:02 +0000</pubDate><guid>https://jorgelaurel.com/writing/lesson-1-what-is-ai-really/</guid><description>&lt;p&gt;&lt;img src="https://jorgelaurel.com/images/writing/8d2497ec526c65a6.png" alt="Lesson 1: What Is AI, Really?"&gt;
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&lt;hr&gt;
&lt;p&gt;A note on this series. This is written for beginners, on purpose. I&amp;rsquo;m keeping explanations at a practical, conceptual level rather than a technical one. Several ideas here are described in generic terms rather than their full technical depth. The goal of these seven lessons is to demystify AI agents enough that the hype becomes understandable and ideally to spark enough curiosity that you go looking for the deeper technical material afterward.&lt;/p&gt;</description></item></channel></rss>