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Google · on Coursera

Google AI Professional Certificate

4.8(4,948) on Coursera·1.2M enrolled
Beginner 8 hours English Professional CertificateFREE
SkillsGenerative AIAI toolsPromptingProductivityData analysisAI at work

Is this course right for you?

Our take
Worth it if you want a broad, practical tour of using AI at work and can finish the roughly eight hours within one subscription month. No coding needed.

Good for: professionals who want broad, practical AI-at-work skills across many tasks, without coding.

Skip if: you want technical depth or to build AI systems, or you only need the basics.

The seven short courses each tackle a workplace task — planning, research, writing, content, analysis, simple apps — with hands-on activities in common AI tools. The value is the wider, task-by-task coverage plus a recognisable Google name, and it is genuinely current because Google is actively updating it.

The trade-off is breadth over depth: it moves fast and will not make you deep in any one skill, and it does not teach you to build AI systems. If you only want the basics, the shorter Google AI Essentials is enough; choose this for the wider tour. It reflects current AI-at-work practice (as of 2026).

Comparison · LBS

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About this course

The Google AI Professional Certificate is a beginner-level program of seven short courses built around using AI at work rather than building it. You can audit the material free on Coursera; the certificate runs on a monthly Coursera subscription, and the roughly eight hours of content mean many learners finish inside a single billing month.

Browse all AI & ML courses Browse all Coursera courses

Instructor

G
Google
Coursera instructor

Created by Google as part of its grow.google skilling programs, the certificate reflects how Google frames practical, responsible AI use across everyday work.

Frequently asked questions

Yes for broad, practical AI-at-work skills with a recognised name — it's current and quick to finish. It's introductory, so it favours breadth over depth rather than making you a specialist.

AI Essentials is a single short course covering the basics; this is a seven-course program spanning planning, research, writing, content, data analysis and simple app building. Same beginner level, wider scope.

You can audit the videos and readings free on Coursera. To get the certificate you need a Coursera subscription of about $49 a month, which also unlocks the graded activities.

Just the subscription while you're enrolled — about $49 a month. With roughly eight hours of material, many people finish inside one month, so the total is often a single payment.

Around eight hours across the seven courses, so it's commonly done in a week or two of casual study — much shorter than Google's career certificates, which run for months.

It's a Google certificate delivered through Coursera. You take it on Coursera, and the credential itself carries Google's name.

On its own, unlikely — it's an AI-literacy credential, not a technical or engineering qualification. It signals that you can use AI tools well at work, which helps most when paired with your existing role and a portfolio of what you've done with AI.

Google's name carries weight and the certificate is a credible signal of practical AI skills. Treat it as a helpful line on a CV or LinkedIn rather than a promise of a job offer — most employers still hire on demonstrated skills.

No. It's beginner-level with no coding required and assumes no background in AI — it's aimed at everyday professionals, not developers.

It focuses on general, transferable skills for working with generative-AI assistants — prompting, reviewing output, and building simple workflows — so what you learn applies across common tools rather than locking you into one.

Yes. Everything is on-demand on Coursera, so you can start anytime and move as fast or slow as you like — handy given the whole thing is only about eight hours.

Yes. On completion you get a shareable certificate you can add to LinkedIn or your CV. Frame it as evidence of practical AI-at-work skills rather than a technical qualification.

Take this if you want to use AI across everyday work quickly. If you want to build or engineer AI systems, you'll need a deeper, more technical course — this program is deliberately applied and introductory.
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