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 units · 3 lessons · 58 min reading
Read the approach for each unit, then choose a lesson. Skip anything familiar.
Choose the reader's question before shortening text. Read a worked example distinguishing confirmed facts, proposals and unknowns.
Up next
Understand summaries versus plans, then locate owners, deadlines and prerequisites in a worked table. Learn why some fields must remain unresolved.
Read venue costs and capacities using common criteria. Understand both a recommendation and the reasons to defer a decision.
Choose a role course when you can spot a proposal turned into a promise, an invented owner and mismatched cost units.
Revisit the explanation →Use the worked examples and explanations to describe how AI supports each step below. Running an external tool is optional.
Revisit the three worked examples. Explain why the visitor notice omits a snack promise, why drafting does not authorise sending, and why the cheapest venue was excluded. One sentence each is enough. Writing your own summary, checklist and comparison is optional.
Small businessStage 3 · Role applications
Learn prompting and source checks through introductory examples, then use fictional shop records to create notices, customer replies and a weekly review. Study worked examples and explanations of revisions after stock and opening-hour changes.
7 lessons · 144 min reading
Office & productivityStage 3 · Role applications
Use AI for email, notes and spreadsheets, then follow a multi-file monthly report from prompt to checked revision.
6 lessons · 98 min reading
PlanningStage 3 · Role applications
Ask AI to organise requirements and compare options, then revise a plan using budget, schedule and test evidence.
3 lessons · 68 min reading
Marketing & contentStage 3 · Role applications
Prompt and revise copy using product evidence, then ask AI to analyse campaign records and revisit the result when comparison conditions change.
5 lessons · 104 min reading
Design & imagesStage 3 · Role applications
Write image prompts, describe visual problems and request focused revisions, then work through character constraints and multi-format delivery examples.
5 lessons · 84 min reading
Sales & customersStage 3 · Role applications
Use AI with call notes, product facts and pricing to draft a proposal, then review its response and revise for new customer requirements.
2 lessons · 50 min reading
Product researchStage 3 · Role applications
Use AI to classify interviews and reviews, trace evidence, and follow up on contrary cases and disagreements to complete a research synthesis.
3 lessons · 70 min reading
DevelopmentStage 3 · Role applications
Start with APIs and coding assistants, then build and repair evaluation code with AI. Run worked examples of retrieval comparison and tool-request recovery.
6 lessons · 151 min reading