Generative AI Certification (2026): Which Exam Counts and Which Is Just a Course

That last point is the one most people miss. Search for a generative AI certification and you'll get a long list of badges, but they aren't all the same kind of thing. Some are exams you sit under supervision, with a pass mark. Others are a certificate you get for finishing a set of videos and quizzes. Both can be useful. They just prove different things, and an employer or client reading your profile knows the difference.

I checked the providers' own pages on 2 Nov 2026 for everything below. Details change, so look again before you book.

Proctored exam or course certificate: the difference that matters

A proctored exam is watched, either online through your webcam or at a test centre. You turn up, answer questions under time pressure, and pass or fail. Google's Generative AI Leader and Microsoft's AI-901 both work this way. That's why they carry more weight: nobody can finish them by leaving a video playing in another tab.

A course completion certificate says you worked through a programme. Vanderbilt's Prompt Engineering Specialization on Coursera is a good example. It gives you a shareable certificate at the end, but the course page says plainly that it doesn't carry university credit. That doesn't make it worthless. It makes it a record of learning, not a test of it.

Neither type proves you can get results with AI inside a business. Only the work does that. A credential gets you past a filter or into a conversation; it won't do the job for you.

Google Cloud Generative AI Leader, in plain terms

This is the one I'd look at first if you're not a developer. Google says it's for anyone in any job role, with or without hands-on technical experience. There are no prerequisites, so you don't need another Google certification before you sit it.

• What it covers: the fundamentals of generative AI, Google Cloud's own generative AI offerings, techniques to improve what a model produces, and business strategies for a successful generative AI solution.
• The exam: 90 minutes, 50 to 60 multiple choice questions, online-proctored or onsite-proctored.
• Cost: a $99 registration fee plus tax where applicable, as of Nov 2026.
• Languages: English, Japanese and Spanish.
• How long it lasts: valid for 3 years, and you can renew within the renewal window.
• Study help: Google lists a learning path, an exam guide, a study guide and sample questions.

The pro is obvious: it's short, it's affordable for a proctored exam, and it's built for managers, marketers and business owners rather than engineers. The catch is that a chunk of the exam covers Google Cloud's own products. If your team lives in ChatGPT, Claude or Microsoft Copilot, part of what you study won't map onto your day. You're learning general ideas plus one vendor's toolbox.

Microsoft AI-901: the technical route

Microsoft's exam AI-901 leads to the Microsoft Certified Azure AI Fundamentals certification. Don't let the word fundamentals fool you. Microsoft pitches it at people at the beginning of a career in AI solution development, and it expects some knowledge of Python syntax and programming techniques plus familiarity with Azure resources.

The exam splits into two areas. A bit under half is about identifying AI concepts and capabilities. The larger share is about building AI solutions with Microsoft Foundry, which is hands-on territory. The passing score is 700, the English version was updated on April 15, 2026, and Microsoft lists 13 languages.

Microsoft doesn't show one fixed price on the exam page. It says the price depends on the country or region where the exam is proctored, so check it there for your own location before you plan a budget.

If you're a marketer who's never opened a code editor, this isn't your starting point. If you're moving into a technical AI role, or your company runs on Azure, it's the more useful badge of the two.

Where a course certificate like Vanderbilt's fits

Vanderbilt's Prompt Engineering Specialization, taught by Dr. Jules White, is a 3 course series at beginner level. Coursera estimates 4 weeks at 10 hours a week, with the three courses listed at 19, 11 and 9 hours. You finish with a shareable certificate.

Two things to know before you enrol. First, there's no university credit, and the page doesn't mention accreditation. Second, the page contradicts itself on cost: it shows an Enroll for free button, while its FAQ says you can't take the course for free and that financial aid may be available. Check the checkout screen before you assume anything.

Where it earns its place is skill, not status. Prompting well is the thing that changes your output this week, and a structured course gets you there faster than random videos. If budget is the issue, my round-up of AI certifications you can get for free is the place to start.

The three credentials compared

Credential	Who it's for	Format and length	What it proves	The catch
Google Cloud Generative AI Leader	Anyone in any role, technical or not	Proctored exam, 90 minutes, 50 to 60 multiple choice questions	You understand generative AI and how a business can use it	Part of the exam covers Google Cloud's own products
Microsoft AI-901 (Azure AI Fundamentals)	People starting a career in AI solution development	Proctored exam, passing score 700	Foundational technical skills with AI on Azure and Microsoft Foundry	Expects Python and Azure knowledge; price varies by country
Vanderbilt Prompt Engineering Specialization (Coursera)	Beginners who want practical prompting skill	3 online courses, about 4 weeks at 10 hours a week	You completed the course	Course certificate, not an exam; no university credit

How to pick yours

1. Decide what you need it for. If a job ad or client tender asks for a named certification, take that one and stop shopping.
2. Be honest about code. If you don't write Python and don't plan to, rule out AI-901 for now.
3. Check which tools your workplace uses. A Google Cloud shop gets more from Google's exam; an Azure shop gets more from Microsoft's.
4. Separate skill from proof. If you mostly want to get better at using AI, a course will help more than an exam. If you need something a stranger will trust, pick a proctored exam.
5. Look at renewal. Google's lasts 3 years, so plan when you'd retake it, because the tools will look different by then.
6. Use the free study material first. Google's sample questions and study guide will tell you quickly whether you're ready or need a course before you book.

If you're still fuzzy on what generative AI does in a marketing team, read my explainer on generative AI for marketing before you pay for any exam. It'll make the syllabus far easier to follow.

Is paying for one worth it?

Here's the downside first. No generative AI certification will make you good at using AI at work. They test knowledge at a point in time, and the tools move faster than any syllabus. A hiring manager who knows AI will care more about what you've built than about a badge.

The real pro is that a proctored exam is a clear, cheap signal. When someone's sifting CVs or choosing between two consultants, a recognised exam from Google or Microsoft is quick to understand, and it tells them you took the subject seriously enough to be tested.

So my verdict: if you're non-technical and want one credential, I'd sit Google's Generative AI Leader and skip paying for course certificates that only prove attendance. If you're heading into a technical AI role, I'd take AI-901 instead. And if what you need is a team that uses AI well, I'd skip certificates altogether and put the time into hands-on generative AI training built around your own work.

If you're deciding whether your team needs certifications, training or both to use AI well, that's the kind of AI training and enablement decision I help with. I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.

Frequently asked questions

What is the best generative AI certification?

For non-technical people, Google Cloud's Generative AI Leader is the clearest choice: a proctored exam with no prerequisites, built for any job role. For technical roles, Microsoft's AI-901 is the stronger fit.

How much does the Google Generative AI Leader exam cost?

Google lists a registration fee of $99 plus tax where applicable, as of Nov 2026. Check the exam page before booking in case it changes.

Do I need to code for a generative AI certification?

Not for Google's Generative AI Leader, which is for anyone with or without technical experience. Microsoft's AI-901 expects knowledge of Python syntax and familiarity with Azure resources.

How long is the Google Generative AI Leader certification valid?

It's valid for 3 years, and Google allows renewal within the renewal eligibility period.

Is a Coursera certificate the same as a certification?

No. A Coursera certificate, such as the one from Vanderbilt's Prompt Engineering Specialization, shows you finished a course. Google's and Microsoft's are proctored exams you have to pass.

Are generative AI certifications worth it, according to Lilach Bullock?

Lilach Bullock's view is that a proctored exam is a useful, low-cost signal for a CV or a client pitch, but it won't make you good at AI on its own. Hands-on practice with your real work does that.