Artificial intelligence has lowered the barrier to building products, but access to tools is not the same as knowing what to build, for whom, and why. This AI growth strategy course teaches you to combine growth principles with AI so your bets actually move the metrics that matter.

Why does AI alone not guarantee business growth?

Having the tools is only half the equation. The real question is whether what you build generates measurable results, and that requires a growth mindset before any prompt or prototype.

Many teams jump into AI experiments without a clear hypothesis. They ship features, automate processes, or launch prototypes, but the impact on revenue, retention, or acquisition stays flat. The gap is not technical, it is strategic.

What is a growth model? It is the systemic view of how your company acquires, retains, and monetizes users. It connects the levers you can pull with the outcomes you want to move.

What will you learn in this growth and AI course?

You will learn to read your company like a system, not a checklist. That means identifying your growth model, mapping the levers that actually drive expansion, and making decisions with a structured framework instead of intuition.

The focus is on three core capabilities:

• Identifying the growth model of your company and the levers behind it.
• Prioritizing bets with the highest potential impact on the business.
• Amplifying your team's output with AI through prototyping, data analysis, and automation.

Whether you lead a team or work as an individual contributor, the skills translate directly. You stop reacting to ideas and start choosing them on purpose.

How do you prioritize growth bets with AI?

Prioritization is the muscle that separates teams that ship a lot from teams that ship what matters. And here is where it gets interesting: AI multiplies your speed, but only if you point it at the right problem.

How do you pick the right growth bet? Start from your growth model, identify the lever with the most leverage on a key metric, and then use AI to prototype, test, or automate the experiment faster than you could alone.

This is why the course mixes strategy with hands on skills. You will practice prototyping with AI, running data analysis, and building automations that extend what your team can deliver without growing headcount.

Who teaches this AI growth course?

Your instructor is Daniela Gómez de Armada, cofounder of Moon Labs and Growth System. She brings a systemic perspective on how growth works inside real companies, and how AI fits into that picture as an amplifier, not a replacement.

The goal by the end of the course is simple: you will know how to spot the bets worth making, how to use AI to execute them, and how to tie everything back to business results.

What is the first growth lever you want to pull in your company? Drop it in the comments before the next class.