All 5 domains
14 official task statements
52–72 hrs suggested study
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Domain 01
20%
Domain 1 builds the vocabulary of the AWS Certified AI Practitioner exam: core AI and ML terms, learning and inference types, when ML fits a problem, the ML pipeline, MLOps and the metrics used to judge a model.
Inside this domain
- Explain basic AI concepts and terminologies
- Identify practical use cases for AI
- Describe the AI/ML development lifecycle
Watch for Accuracy on rare events
- Task statements
- 3
Read the domain guide →
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Domain 02
24%
Domain 2 explains how generative AI works and what it costs: tokens, embeddings, transformers and diffusion models, the foundation model lifecycle, agentic AI and MCP, GenAI strengths and weaknesses, and the AWS services and pricing choices for building GenAI applications.
Inside this domain
- 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
Watch for Model looks facts up
- Task statements
- 3
Read the domain guide →
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Domain 03
28%
The heaviest AIF-C01 domain covers how foundation models are put to work: selection criteria, inference parameters, RAG and vector stores, customization costs, agents, prompt engineering, fine-tuning data and the methods and metrics used to evaluate FM applications.
Inside this domain
- 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
Watch for Fine-tune for fresh data
- Task statements
- 4
Read the domain guide →
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Domain 04
14%
Domain 4 covers building AI that is fair, safe and understandable: features of responsible AI, tools such as Amazon Bedrock Guardrails, legal risks of GenAI, dataset quality, bias and variance, and the tools and design principles that make models transparent and explainable.
Inside this domain
- Explain the development of AI systems that are responsible
- Recognize the importance of transparent and explainable models
Watch for Accuracy proves fairness
- Task statements
- 2
Read the domain guide →
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Domain 05
14%
Domain 5 covers protecting AI systems and proving they are governed: IAM, encryption, Macie, PrivateLink, AgentCore Identity and Guardrails, data lineage, prompt injection and leakage, grounding against hallucination, and the AWS services and processes that support compliance.
Inside this domain
- Explain methods to secure AI systems
- Recognize governance and compliance regulations for AI systems
Watch for KMS finds PII
- Task statements
- 2
Read the domain guide →
Domain names, weights and task statements come from Amazon Web Services's official outline (AIF-C01 exam guide v1.2, October 29, 2026 (current)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.