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The course

What Has Irish Stew Got to Do With AI?

There are 21 short lessons in 8 servings, about an hour in all. You can start at the beginning, or pull up a stool anywhere, because nothing here needs an account.

Your 21 bowls

There is 1 dot per lesson, and a green dot means you finished it. Your progress is saved on this device only.

Serving 1

The Pub Before Opening

3 lessons · 10 minutes

foundations

  1. 1.1 Pull Up a Stool: What Has Irish Stew Got to Do With AI? What AI is and is not (rules versus learning) 3.5 min
  2. 1.2 The Ingredient Is Called Data Data as the raw material (structured versus unstructured, good versus bad) 3 min
  3. 1.3 Delivery to Bowl: The Whole Pipeline The machine learning pipeline (seven steps from problem to bowl) 3.5 min

Serving 2

The Three Things Machines Learn

3 lessons · 7.5 minutes

classical machine learning

  1. 2.1 Sorting the Carrots: Fresh or Spoiled? Classification (supervised learning) 2.5 min
  2. 2.2 How Many Bowls on a Rainy Friday? Regression (supervised learning) 2.5 min
  3. 2.3 No Labels, Just Regulars Clustering (unsupervised learning) 2.5 min

Serving 3

The Chef With a Thousand Eyes

2 lessons · 6 minutes

deep learning and perception

  1. 3.1 Twenty Cooks, One Stockpot Neural networks and deep learning (layers of simple units) 3 min
  2. 3.2 How a Pub Sees and Listens Computer vision and speech recognition (machines that read images and sound) 3 min

Serving 4

The Chef Who Invents New Dishes

3 lessons · 9.5 minutes

generative AI and LLMs

  1. 4.1 From Predicting to Creating Generative AI (predicting the next word, again and again) 3.5 min
  2. 4.2 Talking to the Publican, and Facts Behind the Bar Prompting and retrieval-augmented generation (the order steers the chef, the shelf keeps it honest) 3 min
  3. 4.3 Pub School, the Open Kitchen, and the Menu That Changes Pre-training versus fine-tuning; open weights, open source, closed; model drift 3 min

Serving 5

The Pub That Thinks for Itself

3 lessons · 9.5 minutes

AI agents

  1. 5.1 Learning by Reward Reinforcement learning (training by consequences, not instructions) 3 min
  2. 5.2 The Publican Who Runs the Whole Service What an AI agent is (goal, plan, tools, memory, self-check) 3.5 min
  3. 5.3 A Full Bar of Helpers, and When to Trust Them Multi-agent systems, guardrails, and human-in-the-loop 3 min

Serving 6

When AI Gets a Body

3 lessons · 10.5 minutes

embodied AI and robots

  1. 6.1 A Recipe With No Hands, and Its Five Senses Embodied AI (software versus body; sensors as the bridge) 3 min
  2. 6.2 Hands, Arms and the Crumble Problem Actuators and Moravec's paradox (the body keeps the secrets the brain cannot write down) 4 min
  3. 6.3 The Robot Publican and Real Robots Today The sense-think-act loop, sim-to-real, and the honest state of robotics 3.5 min

Serving 7

The Pub You Can Trust

2 lessons · 6.5 minutes

AI ethics and governance

  1. 7.1 The Publican's Promise AI ethics (consent, honesty, and the standard you keep when nobody checks) 3 min
  2. 7.2 The Licence Above the Bar AI governance (audits, records, risk levels, and a named human in charge) 3.5 min

Serving 8

The Wise Regular

2 lessons · 7 minutes

limits, meaning, and living with AI

  1. 8.1 When the Publican Gets It Wrong Hallucinations, bias, and the barrier of meaning 3.5 min
  2. 8.2 Pull Up a Stool, One Last Time The teach-back finale (the whole course in one look, then handed to the learner) 3.5 min