
A clear, four-phase journey from curious beginner to confident AI leader.
Phase 1 (weeks 1–2) is about exploration: understanding what AI can realistically do, trying tools hands-on, and mapping them to your specific role. No pressure to master anything yet.
Phase 2 (weeks 3–6) is where habits form. You start using AI daily for writing, research, and analysis — and this is where learning to prompt well pays off enormously.
Phase 3 (months 2–4) shifts into automation: connecting AI to your apps, building repeatable workflows, and reclaiming time from repetitive tasks.
Phase 4 (month 5+) is about leadership — setting direction for your team, sharing what you've learned, and spotting competitive opportunities in your field.
The principles at the bottom apply throughout: always verify AI output, guard sensitive data, stay curious, and keep iterating.