Every AWS AI Certification in 2026 — What to Take, and What It Costs

The AWS Certified AI Practitioner costs $50 right now, not $100. Promo code AIF2CLOUD halves the exam through September 30, 2026, and passing hands you a free Cloud Practitioner exam voucher on top. That’s the cheapest door into AWS’s AI track. In 2026 AWS runs three AI certifications: the foundational AI Practitioner ($100), the ML Engineer Associate ($150), and the brand-new Generative AI Developer – Professional ($300). The old Machine Learning – Specialty retired on March 31, 2026. Here’s every AWS AI certification, what it costs, and who each one actually fits.

That last year matters more than usual. AWS reshuffled this whole shelf in 2026. It killed one exam, launched a professional-tier one, and started a mid-refresh on a third. If you read a guide written in 2024, half of it is now wrong. This one was checked against AWS’s own certification pages on July 22, 2026.

The AWS AI certification lineup in 2026

Four names still float around in search results. Only three are exams you can sit today.

AWS Certified AI Practitioner (AIF-C01)

Foundational · $100 (currently $50) · 65 questions · 90 minutes · valid 3 years · no coding required

This is the one most people mean when they type “AWS AI certification” into a search box. It validates vocabulary: how generative AI, machine learning, and Amazon Bedrock fit together, for people who work around AI systems rather than build them. AWS names the target candidates plainly: business analysts, IT support, marketing professionals, product and project managers, salespeople. No hands-on lab work is assumed.

It launched in October 2024, so it’s mature enough to have a real prep ecosystem but new enough that recruiters still notice it. Stéphane Maarek’s Udemy course (4.7 stars, roughly 48,000 students) carries most successful candidates, per the student reports we mined. The catch, and it’s a real one: passers consistently say it plays harder than “foundational” suggests — scenario-heavy, twisty wording that sits closer to an Associate exam than to Cloud Practitioner. Treat 25–35 hours of study as the honest floor, not the “one weekend” some blogs promise.

AWS Certified Machine Learning Engineer – Associate (MLA-C01)

Associate · $150 · 65 questions · 130 minutes · ~1 year of SageMaker experience assumed

This is the technical step up, and the AWS machine learning certification that recruiters actually weigh. It tests whether you can build, deploy, and operate ML workloads in production on AWS: SageMaker pipelines, model monitoring, the MLOps plumbing. AWS points it at backend developers, DevOps and data engineers, MLOps engineers, and data scientists. If you write code for a living, this is the credential that carries résumé weight; the Practitioner does not, on its own.

One timing note that will bite the unprepared: AWS is updating this exam. Registration for the new version (MLA-C02) opens September 1, 2026, and the last day to take the current MLA-C01 in English is September 28, 2026. If you’ve already studied the current blueprint, book before the cutoff. If you’re starting from scratch, wait for C02 rather than learn a syllabus that’s about to change.

AWS Certified Generative AI Developer – Professional (AIP-C01)

Professional · $300 · 75 questions · 180 minutes · new for 2026

The headline launch, and the AWS generative AI certification developers had been asking for. AWS’s first professional-tier AI exam went from beta (which ran through March 31, 2026) to standard registration this year, so it’s the freshest and least-saturated credential on the shelf. It targets developers with 2+ years of cloud experience who ship production generative-AI systems on services like Bedrock: RAG pipelines, agents, cost and security guardrails, the move past proof-of-concept.

AWS doesn’t require any prior certification, but the honest prerequisite is experience: this is not a first exam. Candidates who’ve cleared the AI Practitioner, a Solutions Architect Associate, or the ML Engineer Associate first tend to have the surrounding AWS knowledge it assumes. At $300 and three hours, it’s a commitment, worth it if you already build with generative AI and want the proof to match.

AWS Certified Machine Learning – Specialty (MLS-C01), retired

For years this was the AWS machine learning certification everyone chased. It’s gone. AWS retired the Specialty exam on March 31, 2026, folding its role into the newer ML Engineer Associate and the GenAI Developer Professional. If you hold it, your badge stays valid for its full three years from your pass date, but you can no longer sit it, and any 2024-era guide steering you toward it is out of date. Don’t chase it.

AWS AI certifications compared

Which AWS AI certification should you take?

Skip the ladder metaphor; match the credential to where you actually are.

You don’t code, but you work with AI teams or sell/manage AI products. Take the AI Practitioner, and take it now while it’s $50. It gives you the vocabulary to hold your own in the room, and the free Cloud Practitioner voucher on passing is a genuine bonus. Just don’t expect it to land you an engineering job by itself.

You’re a developer or data engineer building ML systems. Go straight to the ML Engineer Associate, but mind the C01/C02 changeover. It’s the AWS AI certification that recruiters read as “this person can ship.” The Practitioner is optional warm-up you can skip if you already know Bedrock and SageMaker.

You already build production generative-AI apps on AWS. The Generative AI Developer – Professional is the one that finally matches your work. Because it’s new, holding it in 2026 puts you ahead of the saturation curve. It’s also the one credential here where the $300 is easy to justify.

You’re not sure AWS is even the right vendor. Fair question. If your target employer lives in Microsoft’s ecosystem, compare the AWS and Azure AI certification tracks before you spend. And if you’re still weighing whether any of these pay off, our breakdown of whether AI certifications are worth it walks through the hiring-signal data before you commit a cent.

What the exams are actually like

A pattern runs through the student reports we read across 20 sources: AWS’s official prep is thorough and dull, and third-party courses do the heavy lifting.

The AWS Skill Builder material gets called “REALLY boring” and “very dry” by candidates who still passed with it. It’s complete, it’s just a slog. Almost everyone who wrote up a pass paired it with, or replaced it with, a paid course plus a bank of practice questions. One r/AWSCertifications poster reported scoring 852 (out of 1,000) on the Practitioner using only Maarek’s Udemy course and practice sets, about three weeks at an hour a day. That’s the median path, not the exception.

The most repeated surprise, again, is difficulty. Foundational does not mean easy here. Questions are worded to catch people who memorized service names without understanding when to use them: “service bingo isn’t enough to pass,” as one beta-sitter put it. Budget real study time, take the official practice exam before booking, and treat a comfortable practice score as your green light.

The counter-view deserves airtime too, because it’s the honest negative on this whole shelf: experienced engineers routinely argue the Practitioner is too shallow to matter on its own, and that a hands-on portfolio or the Associate-level exam does more for a technical résumé. They’re not wrong. If you can already build and deploy models, the Practitioner is a formality. Spend your money one tier up.

How AWS stacks up against other AI certifications

AWS isn’t the only vendor selling AI credentials, and the right pick depends on the stack you’ll actually work in. Microsoft’s Azure path starts cheaper at the entry level; Google leans on its Cloud ecosystem; NVIDIA is building a GPU-and-generative-AI track that some recruiters are only starting to recognize, and we cover the NVIDIA AI certifications separately. For the full field ranked by cost and employer signal, start at our AI certifications hub, the pillar this page sits under.

One thing every vendor exam shares: it teaches you their platform, not AI in general. If your goal is to understand how modern AI systems are built rather than to pass a Bedrock quiz, a project-based course does more. Prefer the free route? Our free Agentic AI course teaches you to build real agents and hands you a Certificate of Completion at the end, no $300 exam required.

FAQ

How much does an AWS AI certification cost in 2026?

The AI Practitioner is $100, currently $50 with promo code AIF2CLOUD through September 30, 2026. The ML Engineer Associate is $150, and the new Generative AI Developer – Professional is $300. The retired ML Specialty is no longer available. Prices are exam fees; prep can be free or paid.

Is the AWS Certified AI Practitioner worth it?

For non-coders who work around AI (analysts, PMs, sales, marketers), yes, especially at the current $50. It builds real fluency in generative AI and Bedrock concepts. For working engineers it’s often too shallow to matter alone; the ML Engineer Associate or a hands-on portfolio carries more hiring weight.

Do I need coding experience for the AWS AI Practitioner?

No. AWS designed the AI Practitioner for people “familiar with, but who do not necessarily build” AI solutions on AWS. No hands-on lab work is assumed. The ML Engineer Associate and the Generative AI Developer – Professional both do expect real engineering experience.

What happened to the AWS Machine Learning Specialty certification?

AWS retired the ML – Specialty (MLS-C01) exam on March 31, 2026. You can no longer sit it. Existing holders keep their badge for its full three-year validity. Its role is now split between the ML Engineer Associate and the new Generative AI Developer – Professional.

Which AWS AI certification is best for a career in machine learning?

For an ML engineering career, the ML Engineer Associate (MLA-C01, moving to C02 in September 2026) is the credential recruiters read as job-ready. If you already ship production generative-AI systems, the Generative AI Developer – Professional carries more weight. Start with the Practitioner only if you’re new to AWS.

The bottom line

AWS’s AI certification shelf is in the middle of a reset: Specialty is dead, a professional-tier GenAI exam just arrived, and the ML Engineer Associate flips versions in September. If you’re non-technical, grab the AI Practitioner while it’s $50 — it’s the best-value AWS AI certification on the board today, and the free Cloud Practitioner voucher sweetens it. If you’re a builder, skip past it to the Associate or the new Professional, where the money actually buys résumé weight. A vendor badge opens the conversation. What you’ve shipped is what finishes it.

Want to go deeper than a Bedrock quiz and actually build AI systems? Towards AI runs practical, project-first courses that pick up where a vendor cert stops.