ManpowerGroup's 2026 Talent Shortage Survey put AI skills at the top of the list for the first time. Of more than 39,000 employers across 41 countries, 72% report difficulty filling AI-related roles. That is a first for the survey, and it is not a gap confined to software companies — employers in every sector report it.
The usual response to a skills shortage is expensive training. This one is odd, because the fix is mostly free. The courses that teach practical AI literacy — what the tools do, how to direct them, where they fail — are available at no cost from some of the biggest names in the field. Below is a rundown of the ones worth your time, and what "free" actually gets you in each case.
Elements of AI (University of Helsinki and MinnaLearn)
The most genuinely free option on this list. About 30 hours across six chapters, built by the University of Helsinki with the education company MinnaLearn. It was originally created to teach the basics of AI to one percent of the Finnish population, and it has since spread across the EU in many languages. No math beyond arithmetic, no coding, and interactive exercises rather than a video-first format. Rarely for a free course, the certificate is free too.
Google AI Essentials (Coursera)
About 10 hours, taught by Google's own teams, free to audit on Coursera. The focus is workplace: writing prompts, evaluating what the tools give back, and using them responsibly. It assumes you have a job to apply this to, not a research interest.
AI for Everyone (DeepLearning.AI)
Andrew Ng's strategy-level course, around 7 hours, free to audit. This is the one for people who commission AI work rather than build it — what AI can and cannot do, how to spot use cases, how to work with technical teams. No code anywhere in it.
Generative AI for Everyone (DeepLearning.AI)
Also Andrew Ng, also free to audit, about 5 hours. Narrower than AI for Everyone by design: it concentrates on generative AI and large language models — what they are good at, where they invent things, and how the technology is changing everyday work.
Google Prompting Essentials
Under 10 hours, also on Coursera and also free to audit. It teaches a framework for writing prompts rather than a general orientation — closer to a workshop than a lecture series.
OpenAI Academy
Free with a ChatGPT account, which is the only "cost" involved. Short courses such as AI Foundations, Applied AI Foundations, and Agents and Workflows. Less formal than the Coursera courses — no graded path — but it comes from the company whose models most people are actually prompting.
HubSpot Academy
Free certificates in marketing and sales uses of AI, paid for by ads rather than by you. The scope is narrower than the courses above, but if you work in marketing, the examples will match your day.
What "free" means here
The honest fine print: the audit track is free on essentially all of these. The framed certificate is usually the paid part, typically through a Coursera subscription. If you need proof for an employer, check the price before you start. If you need the skill, the free track is the whole course.
An order to take them
Pick one literacy course first — Elements of AI to understand what the technology is, or AI for Everyone to understand what it means for an organization. Then pick one tool course: Google AI Essentials for general workplace use, or Prompting Essentials for hands-on practice. Two courses, roughly 20 hours in total, covers most of what employers mean when they list AI literacy in a posting.
One more thing before you pick: it helps to know which of your skills machines are actually reaching for. We map that, job by job, at After AI.
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