Google AI Essentials: AI at work, with Google’s name on it
Five short courses on Coursera: AI basics, saving time with AI tools, prompting, responsible use, and staying current. Expect under ten hours, at your own pace. Google then issues a certificate you can share on LinkedIn and list on your resume.
Access is through a Coursera subscription: a seven-day free trial, then $49 per month in the US and Canada. Prices are often lower elsewhere, and Coursera offers financial aid. The course is taught in English.
- Who it suits: any role, no technical background needed.
- What it proves: you use AI to work faster, and you know its limits.
- Advantage: any recruiter recognises the Google name instantly, technical or not.
Microsoft Azure AI Fundamentals: the technical entry point
This is a genuine Microsoft certification, earned by passing a proctored exam. The former AI-900 exam was retired on 30 June 2026; AI-901 now leads to the credential. If you earned the certification through AI-900, it remains valid.
Preparation is free on Microsoft Learn. The exam is paid, and its price depends on the country where you sit it. It is offered in several languages, including French.
- Who it suits: tech, data, consulting, and any employer built on Microsoft tools.
- What it proves: you understand how the main AI services work, not just how to use them.
- Advantage: a proctored exam carries more weight than a course-completion badge.
Anthropic’s AI Fluency: free, short, and about method
Anthropic, the company behind Claude, publishes AI Fluency: Framework & Foundations on its Anthropic Academy. It is free, online, and ends with a final assessment that earns a certificate.
It does not teach you a piece of software. It teaches you how to work with AI: what to hand over, how to frame the request, how to judge the output and when not to trust it. That is exactly what stays useful when the tools change.
- Who it suits: everyone, especially if you are starting from scratch.
- What it proves: you have a method for working with AI effectively and responsibly.
- Advantage: it costs nothing, so there is no reason not to start here.
Which one to choose
You do not need all three. Choose by the role you are targeting, not by the brand you like best.
- You want to start without spending anything: AI Fluency.
- You are applying for a non-technical role and want a name everyone knows: Google AI Essentials.
- You are aiming at tech, data or a large employer: Azure AI Fundamentals, ideally after AI Fluency.
Where to list it on your resume
In a dedicated “Certifications” section, separate from education. Write the exact title, the issuer and the year, for example “Microsoft Certified: Azure AI Fundamentals — Microsoft, 2026”. Screening software looks for the official name; a loose paraphrase or home-made abbreviation can slip past it.
A certification still in progress should say so, with the expected date. And it only carries weight if your experience shows what you do with it: name a real task where you use AI, and its result. Do not invent one; a recruiter who asks about it in an interview will notice immediately.
A certification does not check your resume for you
Adding a line achieves nothing if the screening software cannot read the section it sits in. Most applications stop on format, not on background.
Upload your resume to Ready4Jobs: you get a score out of 100 and specific fixes, without creating an account.