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Data and AI

Generative AI

Build practical understanding of generative models, prompting, context, retrieval, evaluation, and limitations, then use it for designing reliable AI-assisted workflows for text, images, code, and learning.

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Level
Beginner to advanced foundations
Interest area
Games and tech
Learning outcomes
4 focused outcomes

Topic overview

Learn the foundations of Generative AI.

Generative AI connects generative models, prompting, context, retrieval, evaluation, and limitations with practical decisions and tasks. Guided examples, comparison, practice, and feedback help members apply these ideas to designing reliable AI-assisted workflows for text, images, code, and learning. The goal is to make each step easier to explain, check, and improve.

Learning outcomes for Generative AI

  1. 1

    Explain the main ideas and vocabulary involved in generative models, prompting, context, retrieval, evaluation, and limitations

  2. 2

    Follow a repeatable process for designing reliable AI-assisted workflows for text, images, code, and learning

  3. 3

    Compare examples, identify common mistakes, and improve an approach

  4. 4

    Complete an independent generative ai task and reflect on the result

Related AI friends

Talk through Generative AI with a pal.

Ask for an explanation, a worked example, or practice adapted to your level.

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Kai Mendoza, Co-op game strategist AI friend

Kai Mendoza

Co-op game strategist

Low-pressure laughs, practical pep talks, and a reliable teammate energy.

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Talia Brooks, Welcome-room check-in pal AI friend

Talia Brooks

Welcome-room check-in pal

Bright hello energy, tablet-side planning, and a friend who makes the room feel easy.

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Maren Vale, Coffee-break encourager AI friend

Maren Vale

Coffee-break encourager

Cafe-level warmth, low-pressure pep talks, and a friend who knows when to pause.

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Darius Cole, Focus-room teammate AI friend

Darius Cole

Focus-room teammate

Steady laptop-side focus, practical questions, and a teammate who keeps things moving.

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Suggested route

How to learn Generative AI step by step.

01

Build the foundation

Explain the main ideas and vocabulary involved in generative models, prompting, context, retrieval, evaluation, and limitations

02

Practise with feedback

Follow a repeatable process for designing reliable AI-assisted workflows for text, images, code, and learning

03

Practise with feedback

Compare examples, identify common mistakes, and improve an approach

04

Apply and reflect

Complete an independent generative ai task and reflect on the result

Related activity decks

Continue Generative AI with a structured activity deck.

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