AI Across Industries

An open course on how AI works in real-world industries — where it helps, where it doesn't, and how to tell. Each lecture is slides plus commentary: look at a slide, read what's behind it.

Lectures

• Lecture 1. What is AI? History, classification, general concepts

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  34 slides

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• Lecture 2. How Modern Large Models Work

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  47 slides

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• Lecture 3. Architectures of AI systems: agents, RAG, API

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  67 slides

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• Lecture 4. AI Across the Software Development Lifecycle (SDLC)

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  58 slides

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• Lecture 5. The AI Product: The Full Lifecycle — From Intent to Operation

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  56 slides

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Seminars

Workshops that go with the lectures: polls, cases, model failures — and what follows from them.

• Seminar 1. Introductions

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  17 slides

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• Seminar 2. When AI, Which AI, and on What

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  42 slides

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• Seminar 3. Three model mechanisms in system design

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  43 slides

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• Seminar 4. Setting up a coding agent: day-0 baseline or wait for a signal

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  57 slides

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