Timed practice mirroring real exam conditions.
- Exam-style formats
- Timed sessions
- Domain scores
Create applications and systems using modern programming languages and frameworks
Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.
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 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.
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 foundational knowledge of AI and machine learning concepts and how they map to Azure AI services, including responsible AI, computer vision, NLP, and generative AI workloads.
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.
Evaluates a candidate’s ability to design, implement, operate and govern cloud security across architecture, data, platforms, applications, operations, and legal/risk/compliance requirements.
Timed practice mirroring real exam conditions.
AI companion that diagnoses weak spots.