Short answer
The best way to learn AI is a loop, not a playlist: learn a concept, experiment with it immediately, build something real, evaluate whether it actually worked, and explain it to someone else. Repeat. Watching content alone rarely creates capability. Applying AI to your own work, with feedback from someone more experienced, is what turns knowledge into skill.
By Chandan Maheshwari, AI mentor & consultant, founder of School of AI · Last updated
Key takeaways
- Use the loop: Learn → Experiment → Build → Evaluate → Explain → Repeat.
- Real tasks beat tutorials.
- Feedback speeds learning more than more content does.
- Explaining a concept is the fastest test of understanding.
The learning loop explained
Each step closes a gap the previous one leaves open.
- Learn — understand one concept well enough to describe it simply
- Experiment — try it in an AI tool within the same day
- Build — use it to produce a real output: a report, a workflow, a page
- Evaluate — was it accurate, faster, better? What failed?
- Explain — teach it to a colleague or write it down
Live, recorded or self-taught?
Self-teaching is cheap but slow and easy to abandon. Recorded courses add structure but no feedback. Live, mentor-led learning adds review of your own work, which is usually the missing piece.
Learning formats compared
| Format | Strength | Limitation |
|---|---|---|
| Self-taught (free resources) | Free, flexible | No structure or feedback; easy to stall |
| Recorded course | Structured, low cost | Little feedback; low completion |
| Live, mentor-led course | Feedback on your real work | Fixed schedule; higher fee |
Learning this with School of AI
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