Exam prep for

AWS Certified AI Practitioner

Exam set and awarded by Amazon Web Services On demand AIF-C01

For business and technical professionals with some AWS AI/ML exposure: develop the exam-relevant judgment to assess AI, machine learning and generative AI use cases on AWS and pursue the AWS Certified AI Practitioner credential.

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Independent exam prep. Elandi is not affiliated with, endorsed by or approved by Amazon Web Services, and does not award Amazon Web Services credentials. Our practice questions and mocks are written by Elandi, not taken from the real exam. Exam names are trademarks of their owners. AWS, Amazon Web Services and all related certification names are trademarks of Amazon.com, Inc. or its affiliates.

The exam in numbers

Assesses foundational AI, machine learning and generative AI concepts, AWS AI tools and their business applications. Your mock exams use this learning plan's question count, time limit and pass mark.

Questions
65
Time limit
90min
Mock pass mark
70%
46 correct
Exam fee (paid to Amazon Web Services)
US$100
When you book the exam
Sitting
On demand
  • Single select (Radio): 4 options
  • Multiple select (Checkbox): 5 options
  • Matching pairs: 3 prompts · 3 choices
  • Ordering / Sequence: 3 steps · 3 choices

Upcoming sittings

Pick a sitting when you start. Your workspace counts down to it and paces your prep from there.

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What AWS Certified AI Practitioner covers

5 modules · 14 units · ~14h of structured prep. Each exam domain with the weight the exam gives it, and the modules that prepare you for it.

  1. 01Fundamentals of AI and ML 20%
    1. Explain basic AI concepts and terminologies
    2. Identify practical use cases for AI
    3. Describe the AI/ML development lifecycle
  2. 02Fundamentals of GenAI 24%
    1. Explain the basic concepts of GenAI
    2. Understand the capabilities and limitations of GenAI for solving business problems
    3. Describe AWS infrastructure and technologies for building GenAI applications
  3. 03Applications of Foundation Models 28%
    1. Describe design considerations for applications that use FMs
    2. Choose effective prompt engineering techniques
    3. Describe the training and fine-tuning process for FMs
    4. Describe methods to evaluate FM performance
  4. 04Guidelines for Responsible AI 14%
    1. Explain development of responsible AI systems
    2. Recognize importance of transparent and explainable models
  5. 05Security, Compliance, and Governance for AI Solutions 14%
    1. Explain methods to secure AI systems
    2. Recognize governance and compliance regulations for AI systems

Your exam workspace counts down and keeps score

Set your exam day once. The workspace paces your prep in four phases, weighs your coverage by what each topic is worth, and shows where the marks are still open after every mock.

Exam in 42 days Start mock exam
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Questions
65
Time limit
90 minutes
Pass score
70% · 46 correct
42

days until your exam

6 weeks

Thursday, 24 December 2026

  1. Learn 8+ weeks out
  2. Mock and repair 8 to 2 weeks out
  3. Simulate Last 2 weeks
  4. Consolidate Last 3 days

Now: Mock and repair. Sit a full mock every week or two, then practise the topics you missed.

How ready you are

Exam-weighted coverage
78% of the plan, counted by what each topic is worth
Full mocks taken
2 Prep guides suggest three to five before the exam
Latest mock
66% 4 points below the 70% pass mark

Where the marks are still open

  1. Applications of Foundation Models 28% of the exam 71%
  2. Guidelines for Responsible AI 14% of the exam 54%
  3. Security, Compliance, and Governance for AI Solutions 14% of the exam 63%
  4. Fundamentals of AI and ML 20% of the exam 88%
  5. Fundamentals of GenAI 24% of the exam 100%

How the content is written

Write concise, navigable AWS exam preparation for candidates with some AI/ML exposure. Develop foundational certification judgment through realistic business choices, clear distinctions and justified tradeoffs.

Worked examples
Some
Technical jargon
Some
Maths & formulas
Light
Code
None
Diagrams
Light

Try a sample question

Elandi wrote these in this learning plan's style. Pick an answer to see whether it's right and why. They are not taken from the exam.

Select one answer
  • A retailer is selecting a foundation model for a customer assistant that must respond quickly in English and Spanish while staying within a per-interaction budget. Candidate models have shown comparable answer quality on representative tasks. Which TWO considerations should the retailer prioritize to meet these requirements? (Choose two.) Select all that apply
    Select all that apply
  • A support assistant must answer using internal policies that change often. The team can maintain the policy documents but does not want to retrain a model after each change. Which approach best supplies relevant current policy information when answering? One answer
    Select one answer
  • A team follows an initial foundation model lifecycle that includes pre-training, task-specific fine-tuning, evaluation, deployment, and feedback. Put these milestones in order for this initial cycle, from first to last. Put in order

    Choose 5 steps and put them in order. Use each choice once.

    Available choices

    Your sequence

    Step 1 · Drop a choice here
    Step 2 · Drop a choice here
    Step 3 · Drop a choice here
    Step 4 · Drop a choice here
    Step 5 · Drop a choice here
  • Match each governance need to the AWS service most directly associated with it. Match

    Select an answer for each prompt. Choices may be reused.

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