Mastery

Learning with AI · Expert - architecture, internals and edge cases

• Building your AI-driven learning programTurn AI into a personal tutor: honest diagnosis, a week-by-week plan, spaced repetition and measurable tracking of your progress.
• AI on a real project without losing your edgeSet up reasoned pair programming with explicit personal rules and no-go zones so that assistance never turns into dependency.
• Learning by explaining to AI: the Feynman techniqueUse AI as a skeptical student and then as an examiner to pinpoint, to the word, where your understanding breaks.
• Ethics, bias and confidentialityKnow exactly what you send, what generated code is worth legally, and how model biases steer your technical decisions.
• The developer in the AI era: staying critical and employableIdentify the skills that gain value as code generation becomes commonplace, and equip yourself to cultivate them deliberately.