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Validates the ability to design secure, resilient, high-performing, and cost-optimized architectures on AWS across compute, storage, networking, database, security, and operational excellence.

Foundational AWS certification validating knowledge of AI, ML, and generative AI concepts, AWS AI/ML services (Bedrock, SageMaker, Q, Comprehend, Rekognition, etc.), prompt engineering, foundation models, responsible AI, and security/governance for AI workloads.

Validates the ability to build, operationalize, deploy, and maintain ML solutions on AWS using SageMaker and adjacent services.

Validates advanced technical skills and experience in designing distributed applications and systems on AWS. Covers complex multi-account architectures, hybrid networking, large-scale migrations, cost and performance optimization, and modernization patterns across the enterprise.

Validates the ability to design, build, secure, deploy, and operate production generative AI applications on AWS using Amazon Bedrock and related services. Focuses on foundation model selection, RAG and agent architectures, guardrails, scaling, observability, and cost optimization for real-world GenAI systems.