I tried 7 AI courses in 2026. Here's what actually worked.

Why I did this

In late 2025 my manager — diplomatically — said the quiet part out loud: most of our team was falling behind on AI, and the company was about to start measuring it. He didn't say "get trained or get replaced." But he said it.

I figured I had a quarter. I figured I'd try every well-known AI course on the market and report back. This is that report.

If you only have time to read one section, jump to "What actually worked." The TL;DR is that two of the seven were genuinely good, three were bad, and the rest were fine. The differences are not what I expected.

How I tested

I picked 7 of the most-talked-about AI training options in 2026: Coursera's AI for Everyone, DeepLearning.AI's Generative AI, Udemy's bestselling AI bundle, LinkedIn Learning's AI tracks, Google's free AI courses, IBM SkillsBuild, and Iternal Academy. I committed to spending real money where applicable and completing at least 6 hours per platform.

I judged each on five things: 1) whether the content was actually current (2026, not "AI in 2022 with a refresh"); 2) whether it taught practical workplace tasks or theory; 3) how long it took to feel competent at a real job task; 4) whether I'd recommend it to my 45-year-old colleague who's afraid of looking like a beginner; 5) whether the price felt fair.

The 7-platform results

What actually worked (and what didn't)

What surprised me

The price-to-quality correlation was essentially zero. The most expensive option in my test ($1,495) finished 4th. The cheapest non-free option ($199/yr) finished 1st. The free options were genuinely OK — they just required you to already know what you wanted to learn, which defeats the purpose of taking a course.

Why Iternal Academy ended up at the top

Three reasons, in order of how much they mattered to me:

1) Lessons are 10 minutes long. This sounds trivial. It is not. The single biggest reason I quit two of the other platforms was that every lesson was 45–90 minutes and I would lose the thread halfway through. Iternal's format — short, scoped, ending with a "now go do this" prompt — is the only one I actually completed cover-to-cover.

2) Content is organized by job, not by tool. Most platforms organize content around "ChatGPT," "Claude," "Midjourney." Iternal organizes it around "what marketers do," "what HR does," "what salespeople do." If you have a job, this saves you weeks.

3) The library is updated weekly, not seasonally. In 2026 that matters more than I expected. Two of the seven courses I tried were still teaching prompt techniques that have been deprecated for a year.

Who I would not recommend Iternal to

If you're a software engineer trying to build production AI systems, DeepLearning.AI is the right choice and Iternal will feel light. If you're a CEO who needs the 90-minute crash course before a board meeting, Coursera's "AI for Everyone" is fine. Iternal is built for the everyone-else in between.

The real cost breakdown

For my $1,847 spend, here's where it went:

• $1,495 — high-end intensive (returned partial refund: $400)
• $199 — Iternal Academy annual
• $249 — Coursera Plus annual
• $299 — Udemy bundle (regret)
• $0 — Google AI, IBM SkillsBuild, LinkedIn Learning (already had LinkedIn Premium)

If I were starting over today with a $200 budget, I would spend it on Iternal Academy and use the leftover time to actually practice on the job. The single biggest mistake I made in this whole experiment was assuming more course = more learning. It's the opposite. More practice on real work tasks = more learning. Iternal was the only platform that pushed me there.

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