Plain-language explanations of the terms and ideas behind today's AI.
Explore a series and its curriculum, then choose the lesson you need.
Start from zero · Stage 1 · First steps
Begin with a plain-language explanation of AI. Follow an invitation example, then learn about inputs, mistakes, how replies work and costs. Read the theory and explanations without using a tool.
7 lessons · 108 min reading
Start from zero · Stage 2 · Foundations
Build on AI First Steps with one familiar reading-group scenario. Learn to select facts, understand action sequences and compare options. Worked examples and explanations let you follow without running a tool.
3 lessons · 58 min reading
Deeper understanding · Stage 4 · Deeper understanding
After drafting work in your role, learn to evaluate it, design review points and measure a pilot. Complete three lessons without code, then apply them in a role project.
3 lessons · 75 min reading
Deeper understanding · Stage 4 · Deeper understanding
Once you have the basics, explore how retrieval and tool use support an answer.
3 lessons · 64 min reading
Explainer · About 18 min reading
AI First Steps · 1 / 7
Understand AI, generative AI, models and prompts through everyday examples. Start by reading and comparing explanations, without installing or signing up for anything.
How-to guide · About 15 min reading
AI First Steps · 2 / 7
Start with a few notes, turn them into an invitation, ask for one change, then check the result against the original. No technical background needed.
How-to guide · About 15 min reading
AI First Steps · 3 / 7
Start with invented notes rather than real customer records. Learn what to check about account data handling, unnecessary details, instructions inside documents and sharing.
How-to guide · About 16 min reading
AI First Steps · 4 / 7
Practice a clear first request, a focused revision and a final check using one reading-group notice. Useful context matters more than a long prompt.
Explainer · About 15 min reading
AI First Steps · 5 / 7
A fluent draft can still get dates and numbers wrong. Practice connecting claims to evidence, checking arithmetic and leaving unknown details unresolved.
Explainer · About 15 min reading
AI First Steps · 6 / 7
Why can the same notes lead to different answers? Learn to distinguish tokens, training and conversation context, then decide what to check in a generated draft.
Google DeepMind released EmbeddingGemma 2, a lightweight embedding model that maps text, images, audio and video into one space.
