MICRO-COURSE

AI Foundations & Classical AI

AI Foundations & Classical AI: 11 short lessons, one for each concept. Intelligent agents, symbolic AI, heuristic search, planning, knowledge representation, rule-based systems, expert systems, constraint satisfaction, probabilistic reasoning, knowledge graphs, and neuro-symbolic approaches.

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Intelligent agents, symbolic AI, heuristic search, planning, knowledge representation, rule-based systems, expert systems, constraint satisfaction, probabilistic reasoning, knowledge graphs, and neuro-symbolic approaches.

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11 results1–11

Lesson

Intelligent agents

A short lesson on intelligent agents from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Symbolic AI

A short lesson on symbolic AI from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Heuristic search

A short lesson on heuristic search from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Planning

A short lesson on planning from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Knowledge representation

A short lesson on knowledge representation from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Rule-based systems

A short lesson on rule-based systems from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Expert systems

A short lesson on expert systems from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Constraint satisfaction

A short lesson on constraint satisfaction from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Probabilistic reasoning

A short lesson on probabilistic reasoning from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Knowledge graphs

A short lesson on knowledge graphs from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Neuro-symbolic approaches

A short lesson on neuro-symbolic approaches from the AI Foundations & Classical AI micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

AI Foundations & Classical AI

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 11 focused topics.

Intelligent agents

Symbolic AI

Heuristic search

Planning

Knowledge representation

Rule-based systems

Expert systems

Constraint satisfaction

Probabilistic reasoning

Knowledge graphs

Neuro-symbolic approaches

Need a walkthrough?
Stay with this topic.