AWS AI Certifications in 2026: AI Practitioner, ML Engineer and More

AWS Wants to Be the AI Cloud Too

Amazon Web Services is the market-leading cloud provider and, in recent years, has built a comprehensive artificial intelligence stack: Amazon Bedrock (managed foundation models), Amazon Q (its generative AI assistant, AWS's equivalent of Copilot), and Amazon SageMaker (for training and deploying models). With that ecosystem, AWS AI certifications have become one of the most valued ways to prove you can bring AI to production in the cloud.

In this guide we cover the AWS AI certifications available in 2026, what each one validates, what you need to pass them, and where to start. For your AWS foundation you'll find real practice question banks on TheExamHero.

AWS's AI Bet: Bedrock, Amazon Q, and SageMaker

Before choosing an exam, it's worth placing the key pieces that appear again and again in the questions:

Amazon Bedrock: managed access to foundation models (text, image, embeddings) for building generative AI apps.

Amazon Q: AWS's generative AI assistant, integrated into development and everyday business tasks.

Amazon SageMaker: the platform for building, training, deploying, and operating machine learning models.

AWS AI Certifications in 2026

AWS Certified AI Practitioner (AIF-C01)

This is the entry point to AI in AWS and one of the most in-demand entry-level certifications. It validates a fundamental understanding of AI and machine learning concepts, with a strong focus on generative AI and services like Bedrock, Amazon Q, and SageMaker JumpStart. No deep technical experience required (up to ~6 months of AI/ML exposure in AWS is recommended) — ideal for business and technical profiles just getting started.

If you're new to AWS, build your cloud foundation first with AWS Certified Cloud Practitioner.

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

The technical leap. This associate-level certification validates that you can build, deploy, operate, and maintain machine learning solutions and pipelines in AWS, primarily with SageMaker. Around 1 year of ML implementation experience in AWS is recommended. The minimum passing score is 720 on a scale of 100 to 1,000.

It's one of the best-paid AI credentials — ML Engineer profiles in AWS typically command salaries at the higher end of the market.

AWS Certified Machine Learning – Specialty (MLS-C01)

The specialty certification aimed at professionals with established data science and machine learning experience. It goes deep on modeling, data engineering, and ML operations. If you already have an ML track record, it's a way to certify an advanced level; if you're starting out, the natural path is AI Practitioner → ML Engineer Associate.

Before AI: Build Your AWS Foundation

AI certifications pay off much more with a solid AWS cloud foundation. Two highly recommended steps:

AWS Certified Cloud Practitioner: AWS cloud fundamentals, ideal as a first contact.

AWS Certified Solutions Architect – Associate: designing scalable and secure solutions, one of the most valued certifications by recruiters.

AWS vs. Azure for AI?

This is the most common dilemma. There's no single answer — it depends on your company's ecosystem and your goals. As a reference, the Microsoft equivalent at the entry level is AI-900 (Azure AI Fundamentals). If you want to compare, practice with AI-900 questions and check out our ranking of most in-demand AI certifications in 2026.

Key Facts About AWS Certifications

No formal prerequisites: you can sit for any level you choose; AWS publishes recommendations for self-assessment.

3-year validity: you'll need to recertify afterward.

50% discount: passing an AWS certification earns you a 50% discount on your next exam.

Generative AI focus: Bedrock and Amazon Q carry increasing weight in recent exam questions.

Recommended Path for 2026

Step 1: AWS Certified AI Practitioner (AIF-C01) to master AWS AI concepts and services.

Step 2: Reinforce cloud foundations with Cloud Practitioner or Solutions Architect Associate if you haven't already.

Step 3: Technical jump with ML Engineer – Associate (MLA-C01) and, later, the Specialty for advanced profiles.

Frequently Asked Questions

Does AWS have an AI certification for beginners?

Yes: AWS Certified AI Practitioner (AIF-C01). It covers AI, machine learning, and generative AI fundamentals in AWS and doesn't require advanced technical experience.

What is Amazon Q?

It's AWS's generative AI assistant (the equivalent of Copilot), integrated into development and business tasks. It appears as a key service in the most recent AWS AI exam questions.

How long does the certification last?

AWS certifications are valid for 3 years; recertification is required afterward.

How do I practice exam questions?

With real practice questions that replicate the exam format. On TheExamHero the first questions are free and require no registration.

Conclusion

AWS has made AI one of its strategic priorities, and its certifications reflect that: from AI Practitioner to get started, to ML Engineer Associate and the Specialty for advanced profiles. Combine a solid AWS cloud foundation with real exam-style question practice and you'll have one of the most in-demand credentials on the market.

Ready to start? Explore all our AWS exams and practice with real questions — the first 10 are free and require no registration.