Amazon Web Services · on Coursera

AWS Certified AI Practitioner

4.8(12,400) on Coursera·184K enrolled
Beginner 14 hours English Course CertificateFREE
SkillsAI conceptsMachine learning basicsGenerative AIAWS AI servicesResponsible AICloud fundamentals

Is this course right for you?

Our take
{"AWS's own beginner course for the AI Practitioner (AIF-C01) certification, a practical entry into AI and the cloud without deep coding. Audit is free; the certificate runs on a Coursera subscription.

Good for: beginners and non-technical professionals wanting a first AI-and-cloud credential.

Skip if: you want deep, hands-on machine-learning engineering.

It covers what the exam expects — core AI and ML concepts, generative AI, responsible AI, and the main AWS AI services like SageMaker and Bedrock — at a business-and-concepts level. It is one of the easier AWS certifications and increasingly asked for in cloud and data roles.

What it does not do is teach hands-on ML engineering — it is conceptual, so it will not have you building or training models — and the official AIF-C01 exam is booked and paid separately through AWS. AWS keeps it updated.",NULL}

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About this course

AWS Certified AI Practitioner is Amazon's own ~14-hour course on Coursera that introduces AI and machine learning on AWS. You can audit it free; the certificate runs on Coursera's ~$49/month plan.

Instructor

AW
Amazon Web Services
Coursera instructor

Created and taught by Amazon Web Services, the program reflects how AWS frames its own AI services and the knowledge it expects for the AI Practitioner certification.

Frequently asked questions

No formal prerequisites, and you can register with none. AWS suggests up to six months of exposure to AI and ML concepts as helpful, but it is genuinely a foundational exam — many people pass starting from little AWS background. Some familiarity with cloud basics and AWS terminology smooths the way, but this is designed as an entry point, not a test that assumes hands-on engineering experience.

It is one of the more approachable AWS certifications — several test-takers find it easier than even the Cloud Practitioner exam, despite the newer subject matter. That is because it rewards breadth over depth: you need to know what AI and ML services are and when to use them, not how to code or tune models. Conceptual understanding, not programming, is what it tests.

Foundational AI, machine-learning, and generative-AI concepts and use cases as they map to AWS services — recognising the right service for a scenario, understanding responsible-AI ideas, and knowing key terminology. It explicitly excludes building, coding, or tuning models. The exam is 65 questions in 90 minutes, scored 100 to 1000 with 700 to pass, and costs around 100 US dollars through Pearson VUE.

Yes, largely. AWS Skill Builder offers free foundational courses and a free practice exam aligned to this certification, which covers most of what you need. You only pay for the exam itself. If cloud or AI is new to you, adding some hands-on time in the AWS free tier helps cement the concepts, but the core study material genuinely costs nothing.

For a low-cost, vendor-recognised signal that you understand AI and generative-AI concepts on AWS, yes — especially with AI skills in demand and the exam fee only around 100 dollars. It will not, on its own, make you an AI engineer, since it deliberately avoids the coding side. Treat it as credible foundational proof and a stepping stone, backed by real hands-on practice.
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