AI-200 Exam: audience, skills, and the AZ-204 replacement

radio_button_uncheckedshort_textWhat is Exam AI-200?

AI-200, Developing AI Cloud Solutions on Azure, is the exam for the Microsoft Certified: Azure AI Cloud Developer Associate credential. It validates intermediate developer skills for designing, building, deploying, securing, observing, and troubleshooting AI-enabled cloud solutions on Microsoft Azure.

Its center of gravity is the application back end: containerized compute, data platforms that support vector workloads, event and messaging integration, serverless APIs, secrets, configuration, telemetry, and operational troubleshooting. It is therefore broader than an exam about calling a model API and more specialized than the former general-purpose Azure developer path.

radio_button_uncheckedshort_textWho is the exam intended for?

AI-200 is aimed at developers who contribute to the complete lifecycle of AI solutions on Azure, especially the back-end services and components that make those solutions scalable, secure, observable, and reliable. The official role is Developer and the level is Intermediate.

• Azure developers modernizing APIs and back-end services for AI workloads.
• Back-end engineers who deploy containerized applications and integrate managed Azure services.
• Developers who build retrieval, vector search, caching, messaging, and event-driven capabilities around AI applications.
• Platform-minded application developers responsible for security, configuration, monitoring, and troubleshooting.
• Professionals coming from AZ-204 who want to demonstrate current Azure development skills with an AI-cloud focus.

radio_button_uncheckedshort_textKnowledge expected before you prepare

Microsoft lists proficiency with Azure SDKs and third-party SDKs, Azure data management, monitoring and troubleshooting, messaging and eventing, vector databases, Python, and containerized applications. There is no separate prerequisite certification, but the scope assumes practical development experience rather than introductory knowledge alone.

A candidate should be comfortable reading and writing application code, working with cloud identities and secrets, deploying services, inspecting logs and metrics, and choosing between synchronous, asynchronous, event-driven, serverless, and container-orchestrated designs.

radio_button_uncheckedshort_textWhich exam did AI-200 replace?

Microsoft identifies Azure AI Cloud Developer Associate (AI-200) as the replacement for Azure Developer Associate (AZ-204). AZ-204 and its certification retired on July 31, 2026, while AI-200 became available on July 9, 2026. Microsoft also lists AI-200T00 as the replacement course for the retired AZ-204T00 courseware.

This is a successor path, not a simple exam rename. AI-200 keeps important Azure development concerns such as containers, functions, events, messaging, security, configuration, and observability, but reorganizes them around back-end systems for AI solutions. Candidates should compare the current AI-200 skills outline instead of assuming every AZ-204 objective was carried over.

radio_button_uncheckedshort_textAI-200 did not replace AI-102

The similar AI exam codes can cause confusion. AI-200 replaced the AZ-204 developer certification path. AI-102, associated with Azure AI Engineer Associate, retired on June 30, 2026 and was replaced by AI-103, Azure AI Apps and Agents Developer Associate. AI-200 emphasizes the Azure cloud back end for AI applications; AI-103 is the direct successor to the former AI engineering credential.

radio_button_uncheckedshort_textSkills measured

The official study guide divides the scored content into four domains. Percentages are approximate and Microsoft can update the outline, so always check the study guide before scheduling the exam.

• Container hosting and orchestration with Azure Container Registry, Azure App Service, Azure Container Apps, Kubernetes Event-driven Autoscaling (KEDA), and Azure Kubernetes Service (AKS).
• AI-oriented data patterns with Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL, pgvector, embeddings, vector similarity search, retrieval-augmented generation (RAG), and Azure Managed Redis.
• Back-end integration with Azure Service Bus, Azure Event Grid, and Azure Functions.
• Secrets and configuration with Azure Key Vault and Azure App Configuration, plus distributed tracing with OpenTelemetry and log analysis with Kusto Query Language (KQL).

radio_button_uncheckedshort_textHow AI-200 differs from AZ-204

The overlap matters: an experienced AZ-204 developer already has useful foundations. The gap is the explicit use of vector databases, embeddings, semantic retrieval, RAG-oriented data patterns, modern container operations, and end-to-end observability for AI-driven workloads.

radio_button_uncheckedshort_textIs AI-200 the right exam for you?

Choose AI-200 when your role is to engineer the Azure platform and back-end services behind AI applications. It is a strong fit if you turn prototypes into production services, integrate databases and events, deploy containers and functions, protect application secrets, and diagnose distributed systems.

If you are only beginning with AI concepts, a fundamentals credential may be a better first step. If your focus is specifically building AI apps and agents as the successor to AI-102, compare AI-103. If your goal is general Azure administration or architecture, use the role-based path aligned with those responsibilities.

radio_button_uncheckedshort_textExam facts and preparation

• Credential: Microsoft Certified: Azure AI Cloud Developer Associate.
• Level and role: Intermediate, Developer.
• Assessment time shown by Microsoft: 120 minutes.
• Language shown on the certification page at the time of verification: English.
• Passing score documented in the study guide: 700 or greater.
• Recommended preparation: official study guide, self-paced or instructor-led course, hands-on development, and the Microsoft exam sandbox.

Exam availability, languages, policies, pricing, and measured skills can change. Confirm the current information on Microsoft Learn before registering.

radio_button_uncheckedshort_textOfficial Microsoft references

The explanations above were independently written from the following Microsoft sources, verified on August 20, 2026.

• Microsoft Certified: Azure AI Cloud Developer Associate
• Study guide for Exam AI-200: Developing AI Cloud Solutions on Azure
• Course AI-200T00-A: Develop AI cloud solutions on Azure
• July 2026 Partner Center announcements — certification replacements
• Microsoft credential retirement information
• Microsoft course retirement and replacement table
• June 2026 Partner Center announcements — AI-102 and AI-103