Meet a real situation
Each lesson starts with a recognisable task or decision.
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Build practical AI fluency through realistic work situations, short explanations, and exercises that make you judge the output instead of simply reading about it.
How Academy lessons work
Each lesson starts with a recognisable task or decision.
Plain-language explanations stay focused on what changes your work.
Compare prompts, spot risks, verify claims, or choose the next action.
Learning path
Course 1 builds the foundation. Course 2 develops the prompting and workflow skills needed before moving into AI agents.
Course 1
Build the baseline habits for using AI well: clear prompts, useful workflows, tool choice, and verification.
Understand what AI tools can do, what they cannot do, and where to begin safely.
Write clearer prompts with useful context, constraints, format, and feedback.
Apply AI to practical tasks while keeping ownership of the result.
Catch confident mistakes, verify important claims, and know when not to delegate.
Turn one-off prompts into reviewable loops and useful tool chains.
Choose AI tools by task, evidence, and constraints instead of hype.
Course 2New
A practical second course on advanced prompting, iteration, structured outputs, and reliable AI-assisted workflows.
Turn a loose request into a clear job with purposeful constraints and a usable output.
Use examples, templates, and maintained context to make good results repeatable.
Diagnose weak work, compare alternatives, and recognise when prompting is no longer the solution.
Break complex work into stages, add proportionate review, and debug the process.
Practice Lab
Short flashcard and workflow missions. Practice progress stays separate from the 36 course lessons.
Review four useful terms without technical definitions.
Put the parts of a useful request into a sensible order.
Match common work needs with the kind of help AI can provide.
Build a quick checking loop for an important AI answer.
Review which tool category fits which kind of task.
Order a workflow that uses AI without handing over the final decision.
Review four durable patterns that work across tools and job roles.
Arrange the parts of a reusable AI request from purpose to quality check.
Order a focused loop that improves weak work without restarting blindly.
Learn where recurring AI-assisted work usually breaks and what to inspect first.