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You’ve probably heard it said: “It takes 10,000 hours to master something.”
So, how can anyone claim to teach AI, Generative AI, and AI Agents in just 24 sessions of one hour each?
At first glance, it might sound like a typical fake claim that educators make, which is too good to be true.
But let’s dig a little deeper.
Do you really need 10000 hours to learn something new
The idea of 10,000 hours came from the work of psychologist K. Anders Ericsson, who studied expert performers across domains.
His research showed that it takes around 10,000 hours of deliberate practice to reach the top of a field — think world-class musicians, Olympic athletes, or elite chess players.
However, over time, this concept has been widely misunderstood. It went from “10,000 hours to become the best” to “10,000 hours to learn anything.”
That’s a big leap — and a misleading one.
Ok, how much time does it take to learn something new?
Instead of asking how long it takes to learn something, the smarter question is:
How can we learn something new — faster and more effectively?
This is where the Pareto Principle (the 80/20 rule) comes in. In most fields, 20% of the knowledge delivers 80% of the value.
When we are trying to learn anything, can we identify those 20% and learn them quickly, practice them and start doing the work instead of waiting to learn most of the stuff.
The rest 80% (whatever is required from that) you can then learn as you work and improve.
This is not just applicable to AI but to every field. So, if we have to learn anything faster, we need to first spend time on identifying the important 20% stuff.
The Smart Way to Learn AI in 24 Hours
At AI ML etc., we’ve invested the time and effort to distil AI learning down to the core essentials for senior IT professionals.
We’ve reverse-engineered what’s actually required to drive AI initiatives, build intelligent solutions, or lead AI-focused teams — and designed a focused curriculum around just that.
Another claim is that the course is without Maths and Statistics
How can an AI course be taught without Maths and Statistics?
Think back to how you learned to ride a bike. You didn’t start by studying the mechanics of torque or the equations of motion.
You learned by doing: balancing, pedaling, braking.
Similarly, unless you’re pursuing a career in AI research or model development, you don’t need to dive into the weeds of mathematical theory.
Instead, you need to understand:
How AI can solve real-world business problems
How to lead AI adoption and innovation in your organization
Our course is designed with this practical-first mindset.
Then this learning path is for you.
We’ve done the heavy lifting of curating what matters, removing what doesn’t, and packaging it in a way that fits into your busy schedule — just 24 one-hour sessions.
