AWS

Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.

Validates ability to design, implement, operate, and secure AWS and hybrid network architectures at scale, including automation, monitoring, and governance.

Validates the ability to integrate foundation models into applications and business workflows on AWS, including RAG/vector stores, agentic solutions, safety/governance, optimization, and testing/troubleshooting.

Validates ability to secure AWS workloads by designing detection, incident response, infrastructure controls, IAM, data protection, and governance to meet security and compliance requirements.

Validates ability to implement, orchestrate, and operate data pipelines on AWS, including selecting data stores, managing schemas/lifecycles, ensuring data quality, and applying security and governance best practices.

Validates the ability to build, deploy, operationalize, and maintain machine learning solutions and pipelines on AWS, from data preparation through model development, orchestration, monitoring, and security.

Validates foundational knowledge of the AWS Cloud, including cloud concepts, security and compliance, core services and use cases, and AWS billing, pricing, and support resources.

Validates ability to design secure, resilient, high-performing, and cost-optimized solutions on AWS based on the AWS Well-Architected Framework.