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CHOOSE A GOAL · KEEP YOUR WORK

A path that fits your curiosity.

Start with a guided model, inspect an AI system, or practise a decision. These are suggested routes through live lessons. Everyone can explore any topic.

Start with a goal

New to AI? Try “Understand your first model”. You can explore any lesson before choosing a path.

More goals: applications, projects and deeper practice
PATH PREVIEW

Understand your first model

Explain how a network learns, spot overfitting, and evaluate a small classifier.

Starting point: School algebra, percentages and graph reading. No programming needed. Refreshers are available inside lessons.

How progress and assessment work

Evidence you can collect: Five lesson completion records, separate understanding checks, and the existing classifier project with a frozen evaluation and model card.

Limits and future work: The expanded student path will add data quality, classical ML, real datasets and independent debugging. This starter uses the lessons available today.

Path version 1. Choosing this path changes your suggested next activity and its completion total. Earlier achievements, experiments, project reports and other path preferences stay saved. This is not full-program completion.

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Your activities

0 / 6 activities completed

0 / 6 understanding checks passed

0 skipped and still outstanding

Skip for now changes the suggested next step, not the requirements or your understanding record. Restore an activity whenever you like. Optional refreshers and coding are outside this total.

Previewing this path. Choose it above to save skip preferences; all lesson links are open now.

  1. To explore

    Completion outstanding · Understanding check to try

  2. Completion outstanding · Understanding check to try

  3. Completion outstanding · Understanding check to try

  4. To explore

    Completion outstanding · Understanding check to try

  5. Completion outstanding · Understanding check to try

  6. Completion outstanding · Understanding check to try

Project evidence

Build and evaluate a classifier: evidence still to collect; understanding check to try.

Optional support