What Are the Best AI Certifications in 2027? Tier List of 18 Certs

The best AI certifications for getting hired in 2027 are AWS Machine Learning Engineer – Associate and, if your employer is a Claude partner, Claude Certified Developer – Foundations. Below them come the foundational AWS and Azure exams. At the bottom are completion badges with no proctored exam and certs tied to a single vendor's world.

For the short version, with where to start for your role and free practice questions, see the AI certifications hub.

I have ranked 18 certifications from S tier to F tier. The demand for AI skills has never been higher, and the confusion about which certification is worth it has never been worse. Pick the wrong one and you spend months and real money on an exam that gets you no closer to being hired.

How I Ranked Them

Two questions decide the tier: is it a proctored exam, and will employers on the major AI platforms recognise it?

• Proctored or not. A closed-book exam taken under test conditions proves you know the material. A completion badge proves you finished a course.
• Platform reach. The leading models come from Anthropic, OpenAI and Google, and they are deployed on AWS, Azure and Google Cloud. In Q2 2026, AWS held 28% of the cloud market, Microsoft 20% and Google 15% (Synergy Research). A cert on a platform more companies use opens more doors.
• Career fit. Some certs are excellent for one role and useless for another. Where that is the case, I say so.

The Final Tier List

S Tier

AWS Machine Learning Engineer – Associate

The strongest technical AI certification for getting hired. It covers the complete lifecycle of an AI project: preparing the data, training the model, deploying it, and keeping it running once it is live.

AWS rebuilt it as MLA-C02 in September 2026 to cover generative AI, Amazon Bedrock, RAG and AI agents. The beta is 85 questions in 170 minutes for $75, longer than the 65-question, 130-minute format of the old MLA-C01. It is theory, with no hands-on lab, but it sits on the platform with the largest share of the job market and relatively few people hold it.

Full breakdown: is the AWS Machine Learning Engineer Associate worth it?

Claude Certified Developer – Foundations

S tier if you are eligible to sit it. It is aimed at technical professionals and, in Anthropic's words, covers "Claude API fundamentals, tool use, and agent development".

Claude is being rolled out at scale across large consultancies and enterprises, and the number of people who can prove they know how to build with it is still small. I expect Claude to become a staple of how businesses implement AI, so I am going out on a limb with this ranking.

The catch: Claude certifications are only open to people at Claude Partner Network organisations, using a company email on the partner's domain. It costs $125 before partner discounts, takes 120 minutes, needs 720 out of 1,000 to pass and is valid for 12 months. If you cannot register, read how to get a Claude certification without a company email.

A Tier

AWS Cloud Practitioner

Not an AI cert, but the best foundation for one. AI does not exist in a vacuum: every AI model is deployed on cloud infrastructure. If you learn AI without understanding the platform it runs on, you are working with half the picture.

Cloud Practitioner (CLF-C02) teaches the core AWS services, how applications are deployed and how they are secured. It is 65 questions in 90 minutes for $100, and it is beginner friendly. It will not get you hired on its own, but it is one of the best starting investments you can make.

AWS AI Practitioner

The best first AI certification for most beginners. I recommend taking it back to back with Cloud Practitioner.

AI Practitioner (AIF-C01) introduces the AI and machine learning services on AWS. More importantly, it teaches you to think about AI from a business perspective: when a company should use these services, when it should not, and how everything fits together. It is theory only, 65 questions in 90 minutes for $100, but it gives you the vocabulary and mental map to start an AI career.

Comparing it with Claude? See Claude certification vs AWS AI Practitioner.

Azure AI Fundamentals (AI-901)

Microsoft's beginner AI cert, and a good one if your company runs on Microsoft. Note the exam code: AI-900 retired on 30 June 2026 and was replaced by AI-901.

AI-901 is now built around Microsoft Foundry, Microsoft's platform for building AI apps and agents, which makes up 55–60% of the exam. Microsoft also expects knowledge of Python syntax. It bridges the gap on AI fundamentals, and it is a good starting point even if you are pursuing Azure rather than already working in it.

AWS Generative AI Developer – Professional

The certification for the question every business is asking: how do we get AI working inside our products?

You are tested on choosing the right model for a use case, connecting it to a company's own data so it gives accurate answers, and putting guardrails in place so it cannot expose information it should not. AIP-C01 is now generally available: 75 questions in 180 minutes for $300. AWS recommends two or more years building production applications on AWS and a year of hands-on generative AI.

It is aimed at people with a coding or developer background. If you are non-technical and just starting, skip it for now.

B Tier

NVIDIA Generative AI and LLMs Associate

A good supplement for understanding how AI models work under the hood. Most of the material is not tied to NVIDIA's own products, so the knowledge carries over to whichever platform you use. It is 50–60 questions in 60 minutes for $125, online proctored.

You will rarely see it named in a job listing, so treat it as a learning supplement rather than a hiring signal.

NVIDIA Agentic AI Professional

A genuine differentiator, but not a starting point. It covers designing and running agentic AI systems, meaning agents that plan and carry out multi-step work on their own, and keeping them reliable in production.

Very few people hold it. NVIDIA recommends one to two years in AI/ML roles plus hands-on production agent work. It is 60–70 questions in 120 minutes for $200.

Claude Certified Associate – Foundations

The Claude cert for non-technical people who use Claude at work rather than build with it. Think project managers, consultants, marketers and operations. It tests whether you can give Claude proper instructions for a real business task and recognise when the answer is wrong before you rely on it.

It is a proctored, closed-book exam with no coding, $99 before partner discounts. I can see it becoming genuinely valuable to employers, especially for non-technical roles. The same Partner Network eligibility rule applies.

Google Professional Machine Learning Engineer

Well respected, particularly at data-heavy companies. It certifies that you can design, deploy and maintain ML systems in production on Google Cloud, now including Vertex AI and generative AI. It is 50–60 questions in 120 minutes for $200, and Google recommends three or more years of industry experience.

Google Cloud has the smallest market share of the big three, so fewer roles ask for it. If you already work on Google Cloud, treat it as a tier higher. If you are choosing your first platform, AWS opens more doors.

Azure AI Apps and Agents Developer Associate (AI-103)

Microsoft's newest associate cert, focused on building generative AI apps and agents. Agents are where the industry is heading and very few certifications cover them.

AI-103 replaced the retired Azure AI Engineer Associate and is built on Microsoft Foundry. It is aimed at developers who build in Python, so it is harder than some others on this list. In a Microsoft shop, it is the Azure AI cert to get.

C Tier

Google Cloud Generative AI Leader

Designed for the business side: managers, consultants and people deciding on AI rather than implementing it. To its credit, it is a real proctored exam (50–60 questions, 90 minutes, $99).

But you are not learning to build with AI, and you will not find it in the requirements for technical roles. If your job is advising clients or leading teams through AI adoption, it helps. If you want a technical career, which is where I would position yourself in the AI era, this is not the one.

Databricks Generative AI Engineer Associate

Worth it only if your company already uses Databricks. It covers building LLM applications on the Databricks platform, including RAG, deployment and evaluation ($200, 90 minutes). That narrow scope shows in the small number of job listings that ask for it.

CompTIA SecAI+

For security professionals adding AI to what they already do. SecAI+ (CY0-001), launched in February 2026, covers securing AI systems, AI-assisted security and AI governance. CompTIA recommends three to four years in IT, including two in cybersecurity, and Security+ or similar first.

If you are a security professional, it is worth grabbing. If you are trying to learn AI fundamentals, avoid it.

F Tier

IBM AI Engineering Professional Certificate

There is no proctored exam behind it. It is a 13-course Coursera programme that ends in a completion certificate and an IBM badge. The curriculum itself (PyTorch, Keras, TensorFlow, LangChain, Hugging Face) is reasonable, but nobody has verified under exam conditions that you learned it, so it carries little weight on a resume.

If you want the knowledge, take the course. If you want a credential employers trust, pick a proctored exam from this list.

CompTIA AI Essentials

A completion badge, not a certification. It is a two-to-three-hour course with a competency assessment that earns a "CompCert" badge. CompTIA is a name most people in IT recognise, which is exactly why it is worth flagging: you are not tested under exam conditions like you are with AWS or Azure.

Save your time and money. More on this in AI certifications to avoid.

Cisco AI Technical Practitioner

AI as it exists inside Cisco's world. Cisco has rebuilt much of its certification portfolio around AI, and the flagship AITECH exam (810-110, 60 minutes, $150) is proctored. Cisco also gives away free learning paths and labs on Cisco U.

The problem is relevance. The moment you step outside a Cisco environment, much of that knowledge loses its value, and employers are not asking for it. Unless you already work with Cisco, avoid it.

Retired: Azure AI Engineer Associate (AI-102)

You can no longer take this one. Microsoft retired the Azure AI Engineer Associate and exam AI-102 on 30 June 2026. In my video I placed it in A tier, and its replacement, AI-103, now fills that role. If you see prep material for AI-102, it is out of date.

Which One Should You Start With?

Match the cert to where you are now.

Once you have picked one, read the fastest way to get AI certified for the study method.

Preparing With StudyTech AI

StudyTech AI is a personalised AWS and AI certification prep platform. It finds your knowledge gaps, builds your practice around your skills and gaps, turns your mistakes into flashcards, scores your readiness for every exam domain, and tells you when you are ready to take your exam.

It has prep paths for the AWS certifications on this list (Cloud Practitioner, AI Practitioner, Machine Learning Engineer and Generative AI Developer) and for all four Claude certifications. You start with a free assessment that maps your strengths and weaknesses across every exam domain, then study your weakest areas first.

Start a free assessment on StudyTech AI

Bottom Line

Pick a proctored exam from a company whose platform AI actually runs on, matched to where you are now. For most technical people that means AWS Machine Learning Engineer – Associate. For beginners it means AWS Cloud Practitioner and AI Practitioner. Skip completion badges and single-vendor certs unless you already work in that ecosystem.

Verified 7 November 2026 against each vendor's official certification page. Exam codes, prices and formats change often in AI, so confirm on the official page before you book.