AWS Certified AI Practitioner Practice Test (AIF-C01)
Use the form below to configure your AWS Certified AI Practitioner Practice Test (AIF-C01). The practice test can be configured to only include certain exam objectives and domains. You can choose between 5-100 questions and set a time limit.
AWS Certified AI Practitioner AIF-C01 Information
The AWS Certified AI Practitioner (AIF-C01) certification verifies that you have a strong foundational understanding of artificial intelligence, machine learning, and generative AI, along with exposure to how these are implemented via AWS services. It’s aimed at those who may not be developers or ML engineers but who need to understand and contribute to AI/ML-related decisions and initiatives in their organizations. The exam tests your knowledge of AI/ML concepts, use cases, and how AWS’s AI/ML services map to various business problems.
Topics include basics of supervised/unsupervised learning, generative AI fundamentals, prompt engineering, evaluation metrics, responsible AI practices, and how AWS tools like Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, and others support AI workflows. Questions are scenario-based and focused on choosing the right service or strategy, rather than hands-on coding or architecture design. After passing, you’ll be able to identify the proper AI/ML tool for a given business challenge, articulate trade-offs, and guide responsible deployment of AI solutions within AWS environments.
Having this certification shows stakeholders that you have a solid conceptual grasp of AI and AWS’s AI/ML ecosystem. It’s well suited for technical leads, solution architects, product managers, or anyone who interacts with AI/ML teams and wants credibility in AI strategy discussions. It also helps bridge the gap between technical teams and business stakeholders around what AI/ML can — and cannot — do in real scenarios.