Microsoft Azure AI Cloud Developer Associate (AI-200)

Microsoft Azure AI Cloud Developer Associate (AI-200) 

The Microsoft Certified: Azure AI Cloud Developer Associate certification validates the skills required to design, develop, deploy, secure, monitor, and maintain AI-powered cloud applications on Microsoft Azure. As organizations increasingly adopt AI-driven solutions, developers are expected to build intelligent applications that leverage modern cloud-native architectures, AI services, event-driven integrations, and scalable data platforms.

This certification demonstrates your ability to create end-to-end AI cloud solutions using Azure services, implement containerized and serverless architectures, integrate AI capabilities into business applications, manage AI-focused data services, and ensure operational excellence through monitoring, security, and observability practices. It is designed for developers who contribute to every stage of the software development lifecycle, from solution design and implementation to deployment, monitoring, troubleshooting, and optimization.

Who should take the exam?

This certification is intended for developers who design, build, deploy, and maintain AI-powered cloud applications on Microsoft Azure. Typical candidates include:

• Azure Developers
• Cloud Developers
• Software Engineers
• Backend Developers
• Application Developers
• AI Application Developers
• Cloud Solution Developers
• DevOps Engineers
• Platform Engineers
• Technical Consultants

Course Outline 

The Microsoft Azure AI Cloud Developer Associate (AI-200) Exam covers the following topics - 

• Domain 1. Develop Containerized Solutions on Azure (20–25%)
• Domain 2. Develop AI Solutions Using Azure Data Management Services (25–30%)
• Domain 3. Connect to and Consume Azure Services (20–25%)
• Domain 4. Secure, Monitor, and Troubleshoot Azure Solutions (20–25%)

Knowledge Gained

• Azure AI Application Development
• Containerization and Cloud-Native Computing
• Serverless Development
• AI Data Services and Vector Databases
• Azure Service Integration
• Security and Identity Management
• Monitoring and Observability
• AI Solution Operations