Timed practice mirroring real exam conditions.
- Exam-style formats
- Timed sessions
- Domain scores
Develop and deploy AI/ML models for intelligent applications and data-driven solutions
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.
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 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.
Timed practice mirroring real exam conditions.
AI companion that diagnoses weak spots.