AWS Certified AI Practitioner (AIF-C01)
Foundational-level certification that validates general knowledge of AI/ML, generative AI technologies, and corresponding AWS services and tools, regardless of specific job role. For individuals who can effectively demonstrate overall understanding of AI/ML and generative AI. Candidates should have up to six months of exposure to AI/ML technologies on AWS and should use, but not necessarily create, AI/ML solutions on AWS.
What the AWS Certified AI Practitioner (AIF-C01) exam covers
Domains and their approximate weight on the exam.
AI and ML Fundamentals
20%Explain basic AI concepts and terminologies. Identify practical AI use cases. Describe the ML development lifecycle.
Generative AI Fundamentals
24%Explain basic generative AI concepts. Understand the capabilities and limitations of generative AI for solving business problems. Describe AWS infrastructure and technologies for building generative AI applications.
Foundation Model Applications
28%Describe design considerations for applications using foundation models. Choose effective prompt engineering techniques. Describe the process of training and fine-tuning foundation models. Describe methods for evaluating foundation model performance.
Responsible AI Guidelines
14%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%Explain methods for securing AI systems. Recognize governance and compliance regulations for AI systems.
How CertSim helps you pass
Realistic questions
Scenario-based questions aligned to the official AWS Certified AI Practitioner (AIF-C01) objectives.
AI explanations
Understand why each answer is right or wrong, with deep-dive explanations.
Readiness analytics
Track your score by domain and know when you are ready for exam day.
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