AWS Certified AI Practitioner
Follow a topic roadmap built from the published exam blueprint, with lessons, practice exercises and practice exams.
Validates foundational knowledge of artificial intelligence, machine learning, and generative AI concepts and use cases for AWS services.
What you'll learn
Every objective AWS AI Practitioner publishes, and what it asks you to be able to do. The percentage is how much of the exam each one is worth.
- Fundamentals of AI and ML (20% of the exam)Explain basic AI concepts and terminologies. Identify practical use cases for AI. Describe the AI/ML development lifecycle.
- Fundamentals of GenAI (24% of the exam)Explain the basic concepts of generative AI (GenAI). Understand the capabilities and limitations of GenAI for solving business problems. Describe AWS infrastructure and technologies for building GenAI applications.
- Applications of Foundation Models (28% of the exam)Describe design considerations for applications that use foundation models (FMs). Choose effective prompt engineering techniques. Describe the training and fine-tuning process for FMs. Describe methods to evaluate FM performance.
- Guidelines for Responsible AI (14% of the exam)Explain the development of AI systems that are responsible. Recognize the importance of transparent and explainable models.
- Security, Compliance, and Governance for AI Solutions (14% of the exam)Explain methods to secure AI systems. Recognize governance and compliance regulations for AI systems.
The exam at a glance
- Length
- 90 minutes
- Cost
- $100
- Validity
- 3 years
- Style
- Multiple choice
65 questions. Based on AIF-C01. Pass mark is 700.
Sitting the exam
The part nobody publishes in a syllabus. For AWS AI Practitioner the logistics are study strategy: what you are allowed to read while the clock runs changes how you should practise, and what a second attempt costs changes when you should book.
Where you sit it
- You can take your exam either online with proctoring or at a Pearson VUE testing center.
Booking it
- The exam cost is 100 USD.
Read off the official exam page on 10 September 2026. Rules change without notice, so confirm anything you are about to spend money on.
What the exam covers
Straight from the published curriculum. The weights are how much of the exam each area is worth, so they are the honest guide to where your study time should go.
Course content
15 topics
1. AWS Fundamentals
Core AWS services, shared responsibility model, IAM basics, and pricing models
2. AI and ML Basics
- Explain basic AI concepts and terminologies.
3. Practical AI Use Cases
- Identify practical use cases for AI.
4. AI/ML Development Lifecycle
- Describe the AI/ML development lifecycle.
5. Generative AI Fundamentals
- Explain the basic concepts of generative AI (GenAI).
6. GenAI Capabilities and Limitations
- Understand the capabilities and limitations of GenAI for solving business problems.
7. AWS Infrastructure for GenAI
- Describe AWS infrastructure and technologies for building GenAI applications.
8. Foundation Model Design Considerations
- Describe design considerations for applications that use foundation models (FMs).
9. Prompt Engineering Techniques
- Choose effective prompt engineering techniques.
10. Training and Fine-Tuning Foundation Models
- Describe the training and fine-tuning process for FMs.
11. Evaluating Foundation Model Performance
- Describe methods to evaluate FM performance.
12. Responsible AI Development
- Explain the development of AI systems that are responsible.
13. Model Transparency and Explainability
- Recognize the importance of transparent and explainable models.
14. Securing AI Systems
- Explain methods to secure AI systems.
15. AI Governance and Compliance
- Recognize governance and compliance regulations for AI systems.
What to know before you start
- Up to 6 months of exposure to AI/ML technologies on AWS
- Familiarity with core AWS services and their use cases
- Familiarity with the AWS shared responsibility model for security and compliance
- Familiarity with AWS Identity and Access Management (IAM)
- Familiarity with AWS service pricing models
Other AWS certifications
All AWS certificationsFrequently asked questions
How much does the AWS AI Practitioner exam cost?
$100. Confirm it on AWS's page before you book: exam fees change.
How long is the AWS AI Practitioner exam?
90 minutes. 65 questions.
How many questions are on the AWS AI Practitioner exam?
65 questions. The sitting is 90 minutes long. Check the current count with AWS before you book.
How long is AWS AI Practitioner valid?
3 years. Check AWS's recertification route before it lapses.
Is the AWS AI Practitioner exam hands-on?
No. It is a written exam, so the skill it tests is recognising the right design or command rather than executing it under time pressure.
What is on the AWS AI Practitioner exam?
5 domains. The heaviest is Applications of Foundation Models at 28% of the exam, so it is the one worth over-preparing.
What should I know before starting AWS AI Practitioner?
Up to 6 months of exposure to AI/ML technologies on AWS. Familiarity with core AWS services and their use cases. Familiarity with the AWS shared responsibility model for security and compliance. Familiarity with AWS Identity and Access Management (IAM). Familiarity with AWS service pricing models.
Exam details from AWS, checked August 2026. Always confirm on their page before booking.
What learners say about Acelro
About Acelro rather than the AWS AI Practitioner exam: what learners made of the gap analysis, the roadmap and the projects.
“The roadmap makes me focus on a learning curve, no matter the length.”
“Acelro has been really great for me, an inspiring experience. I've gained a lot of confidence doing projects I thought were rocket science.”
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