People think you learn AI by watching more courses.

You don’t.

You learn it by doing projects… and apparently by teaching it.

Teaching is one of the best ways to learn, as I found out lately.

Right now, I’m building a small AI agents workshop.

Everything from the fundamentals of AI, generative AI, and large language models…

to the practical stuff like tools, planners, and memory inside agents.

And while I’ve been building this material, something interesting happened.

Explaining the fundamentals forced me to revisit them.

Connect the concepts again.

Understand them more deeply.

I literally learn better by teaching.

And I became a better gen AI engineer in the process.

If you’re passionate about a domain, or you want to level up,

creating a practical tutorial or a workshop is one of the most effective things you can do.

Blend a little theory with hands-on practice.

Add a small project.

And suddenly you see the subject with new clarity.

Because teaching forces you to think deeply.

Simplify complex ideas.

Explain them clearly.

And that process makes you better at the skill itself.

And the bonus?

You help others grow with you.

Everybody levels up.

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