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AWS retired its Machine Learning cert and opened a Generative AI one. What should you study now?
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AWS retired its Machine Learning cert and opened a Generative AI one. What should you study now?

By ReadRoost TeamJune 20, 2026
If your AWS study plan still has "Machine Learning Specialty" written on it, the plan is out of date. AWS quietly retired that exam in March 2026, and in the same stretch it has been rebuilding its AI track and updating the Security Specialty around generative AI. So the question I keep getting is a fair one: with the old ML cert gone and a pile of new AI options, what should you actually study now? Here is the lay of the land, minus the hype.

What changed

The AWS Certified Machine Learning Specialty held its last exam on 31 March 2026 and is now retired, joining the other specialty exams AWS has been pruning over the last couple of years. In its place, AWS has leaned hard into role-based AI credentials. Registration is open for the Generative AI Developer Professional, a new professional-level exam aimed at people building gen-AI applications on AWS. And the Security Specialty has been refreshed to SCS-C03 with a dedicated focus on securing AI and machine-learning workloads.

So the shape of the AWS AI track now runs from a foundational AI cert, through the associate and professional cloud certs, up to the new Generative AI Developer Professional, rather than funnelling everyone through a single ML Specialty exam.

Where to actually start (and it is not the Professional)

The new Generative AI Developer Professional is getting all the attention, but for most people it is the wrong starting point. Professional-level AWS exams assume real hands-on experience and a solid grounding in the associate material. Jumping straight at a pro cert because it has "Generative AI" in the title is how people burn three months and a couple of exam fees.

The sensible entry point is the AWS Certified AI Practitioner (AIF-C01). It is the foundational AI cert, it is approachable for someone who is not already an ML engineer, and it gives you the shared vocabulary, the AWS AI service landscape, and the responsible-AI basics that everything above it builds on. If you are career-changing or coming from a general IT background, this is the one that opens the door without wasting your time.

Who the Generative AI Developer Professional is really for

That cert earns its place if you are already building on AWS and you want to prove you can ship gen-AI applications, work with foundation models, and handle the deployment and cost realities that come with them. It is a strong signal for developers and solutions people who are past the fundamentals and want a credential that matches what employers are now hiring for.

If that is you, it is genuinely worth chasing. If you are not there yet, you will be in a year, and the foundational and associate certs are how you get there. Reaching for it too early is the most common way I see people stall out on the AWS AI track.

Do not skip the security angle

One quiet but important change is the Security Specialty moving to SCS-C03 with AI and ML workload security baked in. If your role touches security at all, this matters more than the developer track, because securing AI systems is becoming its own discipline and AWS is now testing it directly.

It is worth knowing this exists rather than defaulting to the developer path just because it is the loudest announcement. The security and the developer tracks answer different questions about what you can do with AI on AWS, and employers increasingly want both kinds of people.

How to study the AWS AI track

ReadRoost covers the AWS AI path where most people actually start and progress: the AI Practitioner (AIF-C01) for the foundation, and the AI Professional tier for when you move up. So you can build from the entry cert toward the harder material in one place, with questions that reflect the current AWS AI service set rather than the retired ML Specialty’s older scope.

Start at the level that matches your experience, not the one with the most hype around it. Get the foundation solid, get hands-on, and the professional exam stops looking like a leap and starts looking like the next step.

Frequently Asked Questions

Is the AWS Machine Learning Specialty still available?

No. Its last exam was 31 March 2026 and it is retired.

What replaces it?

There is no one-for-one swap. AWS now offers a role-based AI track, from the AI Practitioner foundation up to the new Generative AI Developer Professional.

Should I start with the Generative AI Developer Professional?

Only if you already have hands-on AWS experience. Most people should start with the AI Practitioner (AIF-C01).

Did anything change for AWS security certs?

Yes, the Security Specialty updated to SCS-C03 with added AI and ML workload security coverage.

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