If you want to learn AI online, my recommendation is to find a program that provides you a clear roadmap. AI is a vast field, and jumping from one random tutorial to another or unrelated topic can be overwhelming quickly. A structured path helps you understand how it all connects and prevents you from wasting time trying to figure out what to learn next.
Most people start with the basics, machine learning, data analysis, maybe some generative AI and then build from there. That’s usually the part that makes the most sense. Once you’ve got the basics down, you can start working on projects and experimenting with real-world use cases, which is where things tend to click.
At least from what I've seen, the practical side matters far more than many people expect. You can read articles, watch videos, and take notes for weeks, but actually building something forces you to understand the concepts in a different way. There's a big difference between knowing what a model does and using one to solve a problem.
That's part of the reason some learners look at training providers like H2K Infosys. Their programs are for beginners and pros looking to add AI skills to their existing careers The flexibility is helpful, especially if you’re juggling learning with work or other responsibilities, and the focus on projects gives people a chance to apply what they’re learning instead of just absorbing theory.