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.

Assesses the competencies of professionals who lead and direct projects, including people leadership, project delivery processes, and alignment with business environment needs across predictive, agile, and hybrid approaches.

Evaluates a candidate’s ability to design, implement, operate and govern cloud security across architecture, data, platforms, applications, operations, and legal/risk/compliance requirements.

Assesses technical and managerial competence to design, engineer, implement, and manage an organization’s information security posture across eight security domains.

Assesses foundational knowledge and practical skills for installing, operating, and troubleshooting networks across fundamentals, access, IP connectivity/services, security, and automation.

Assesses entry- and associate-level knowledge of project management fundamentals, predictive and adaptive approaches, and business analysis practices used by project team members across common project environments.

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.

Assesses competence in business analysis activities on projects, including needs assessment, planning, requirements analysis, traceability/monitoring, and evaluating solution outcomes against business needs.

Assesses the ability to apply agile principles and practices across frameworks to lead teams, manage product work, and deliver value using iterative delivery, feedback, and continuous improvement.

Assesses the ability to lead, govern and align enterprise information security programs with organizational objectives, risk posture and compliance obligations across lifecycle, operations and resilience activities.

Assesses business-focused knowledge of generative AI concepts and Google Cloud gen AI offerings, including selecting use cases, improving model output, and driving secure and responsible adoption across an organization.

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