Amazon Web Services · Foundational certification
AWS Certified AI Practitioner
- AI & machine learning
- Cloud
Overview
This foundational credential focuses on recognizing AI and machine-learning concepts, choosing suitable approaches for business needs, and understanding how AWS services support AI solutions. Its AIF-C01 guide covers the AI/ML lifecycle and use cases, generative-AI capabilities and limits, foundation-model application design and evaluation, prompt engineering, responsible-AI considerations, and security, compliance, and governance. The target exam role is oriented toward using AI/ML offerings rather than building models or deploying AI infrastructure.
“This certification focuses on practical business applications of AI.”
Syllabus and skills
- AI/ML concepts, use cases, lifecycle, and outcome metrics
- Generative AI fundamentals, model limits, business fit, and AWS infrastructure
- Foundation-model selection, RAG, prompting, customization, and evaluation
- Responsible AI, fairness, explainability, and transparency
- AI system security, privacy, governance, and compliance
Sources
- AWS Certified AI Practitioner (AIF-C01) - AWS Certified AI PractitionerAmazon Web Services · reviewed