I'll be honest — I'm still relatively new to AI, and I've made a lot of wrong turns in how I tried to learn it. Short-form content on social media is fine for staying aware, but for anything that actually sticks, longer-form video tutorials are where the real learning happens. Here's who I keep coming back to.
Sandy Lee on YouTube is a must-follow if you're a content creator, entrepreneur, or side-hustler. She has a strong consulting and freelance background, which means her AI tutorials are grounded in real business applications — how to use AI to scale content marketing, build offers, and grow income. Nothing theoretical, all practical.
Nate Herk is my go-to for AI automation. He's focused on building workflows and systems that let one person do the output of five. Very dense with information, no fluff. If you want to automate repetitive tasks in your business or job, he's the one to watch.
Nick Saraev is the one I recommend if you want depth over breadth. His videos are usually over an hour and he doesn't just show you what to do — he explains why it works. He covers tools like Claude Code and walks through the underlying logic. It's free, and the depth is extraordinary.
Tina Huang is a former Meta data scientist who covers both AI and data analytics. If you're on the analytics side of marketing, she helps you build rigorous frameworks for thinking about data — not just tools, but mental models that hold up.
One important note: watching is just the starting point. Pick one thing you want to build, follow a tutorial step by step, and actually do it. The learning that comes from doing beats anything you'll get from passively consuming content. Find one project you care about and use it as your practice ground.
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