Exam Prep

Demonstrates foundational knowledge of AI concepts, Microsoft Foundry, and generative AI capabilities. This certification replaces AI-901 and focuses on modern AI architectures.

Build generative apps, multistep reasoning workflows, and production-ready agents with multi-agent orchestration capabilities. Replaces AI-103.

Design and architect autonomous AI agents and multi-agent systems for enterprise business solutions.

Use generative AI and Copilot to streamline business workflows and improve outcomes without coding. Focus on business value and AI implementation.

Define business value of AI, integrate AI solutions using Copilot and Foundry Tools, and drive company-wide AI adoption for transformative impact.

Configure, secure, and support AI-powered Microsoft 365 environments. Entry-level certification for managing Copilot and agent services.

Deploy, operationalize, and maintain ML and generative AI solutions in production. Automate, govern, deploy, monitor, and optimize performance. Replaces AI-300.

Design, build, test, and maintain cloud applications and services on Microsoft Azure.

Design cloud and hybrid solutions that run on Microsoft Azure, including compute, network, storage, monitoring, and security.

Combine people, process, and technologies to continuously deliver valuable products and services.

Demonstrate the business value and product capabilities of Microsoft Power Platform.

Configure Microsoft Power Platform, create apps and automation, and extend the platform.

Design and build scalable data models, clean and transform data, and enable advanced analytics.

Design, develop, test, secure, and troubleshoot Power Platform solutions.

Demonstrate foundational knowledge on the considerations and benefits of adopting cloud services and Microsoft 365.

Demonstrate foundational knowledge of security, compliance, and identity concepts.

Demonstrate knowledge of cloud concepts and Google Cloud products, services, tools, features, benefits, and use cases.

Design, build, and productionize ML models to solve business challenges using Google Cloud technologies.

Design, build, operationalize, secure, and monitor data processing systems on Google Cloud.

Validate overall understanding of the AWS Cloud, independent of specific technical roles.

Validate knowledge of AI, machine learning, and generative AI concepts and use cases on AWS.

Build, deploy, and maintain machine learning solutions in the AWS Cloud for business problems.

Design, implement, deploy, and maintain machine learning solutions for given business problems.

Demonstrate understanding of GitHub platform, products, and best practices for collaboration.

Demonstrate proficiency in automating workflows and CI/CD pipelines with GitHub Actions.

Master AI-powered coding with GitHub Copilot for enhanced developer productivity.

Executive-level certification for leaders driving AI adoption. Covers strategic AI implementation, ROI measurement, governance frameworks, and organizational transformation with AI.

Foundational AI security certification covering the threat landscape for AI systems, secure AI development practices, data privacy in AI, and AI risk management fundamentals.

Advanced AI security certification covering adversarial machine learning, AI red teaming, enterprise AI security architecture, compliance frameworks, and incident response for AI systems.