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 USD
- 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 sit for your exam at a Pearson VUE testing center or choose an online proctored exam.
- Online proctoring is accessible for all AWS Certification exams through Pearson VUE.
- Finishing an online proctored appointment requires communicating with a proctor.
- You can locate Pearson VUE test centers online.
What you are asked
- When taking a translated exam, you can use the English-language toggle feature during the test.
- Beta exams feature a greater number of total questions and scored questions compared to the standard version.
How it is marked
- You can view your exam results in your AWS Certification Account under Exam History within five business days after completing the test.
- Most AWS Certification exams do not display your pass or fail result on the screen immediately after the test ends.
- Passing scores are determined using statistical analysis and are subject to change.
If you do not pass
- Beta exam test takers are permitted to take the beta version only once.
- There is no limit on the number of exam attempts.
- Once you pass an exam, you cannot retake the same exam for two years.
Booking it
- The exam costs 100 USD.
Read off the official exam page on 13 October 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 USD. 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?
Beta exams feature a greater number of total questions and scored questions compared to the standard version. 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.
AWS AI Practitioner vs AWS Solutions Architect Associate: what is the difference?
AWS AI Practitioner: 90 minutes, 100 USD, multiple choice, foundational level. AWS Solutions Architect Associate: 130 minutes, 150 USD, multiple choice, associate level. Both are AWS exams with their own guide on this site.
Exam details from AWS. 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.”
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