I’ve watched hundreds of people learn AI engineering.
The ones who break through always have the same three things — and none of them is talent.
Progress in this field is rarely steady. Most people plateau for months, then suddenly leap (or don’t…). When I look at who’s leaping, the same three ingredients show up every time.
- Learning partners. Showing up gets an immediate reward when others are in it with you. They give live feedback, they show you what “better” looks like, and with two or three of them you live three times the experience per week. Progress compounds.
- A shared goal. A concrete target (like shipping a real AI project) gives you something to measure against. You can see yourself improving, and when someone beside you moves faster, it’s a cue to push.
- One methodology. Following a single path kills decision fatigue. No drowning in fifteen tutorials pulling different directions. And because you’re doing it one way, cause and effect is clear — you can actually tell what’s working.
It sounds almost too simple. But it works.
That’s why we built our AI training program exactly like that: one group, one path, one goal.
If you’re learning AI alone, off a random pile of tutorials, with no deadline — that’s exactly why it feels slow.
Find a group. Pick one path. Set a shared goal. Then watch how fast you move.
Are you learning AI in a group, or on your own?
Always have a group,
Kirill