Microsoft AB-410 Exam

This exam is ideal for professionals who are ready to use Microsoft Power Platform, Copilot, and natural language to build the next generation of intelligent business applications. Candidates typically include developers, solution architects, and individuals with experience in Dataverse modeling, Power Automate cloud flows, Power Apps development, AI capabilities in Microsoft Power Platform, and Power Pages. The role involves creating apps, data models, and flows that connect agents, AI models, and visualizations to enrich user experiences.

While specific salary data for this exact new certification is still emerging, professionals with associate-level Microsoft certifications in AI and Power Platform-related roles generally command competitive salaries. Based on broader market data for Microsoft Associate roles and Azure AI Engineers, an average annual salary typically ranges from $90,000 to $155,000 USD, depending on factors such as location, experience, and specific job responsibilities.

Microsoft Associate-level certifications, including the Intelligent Applications Builder Associate, are valid for one year from the date they are earned. To renew, candidates must pass a free, online renewal assessment via Microsoft Learn within six months prior to the certification's expiration date. There is no limit to retake attempts for the renewal assessment, and passing it extends the certification validity for another year from the original expiration date.

The Microsoft AB-410: Building Intelligent Applications exam was recently introduced and is currently in beta, as of May 2026. Microsoft certifications are continuously updated to reflect the latest technology changes, rather than following a fixed schedule for 'next versions'. This ensures the content remains relevant with the evolving cloud and AI landscape.

The curriculum for the AB-410 exam focuses on building intelligent applications using the Microsoft Power Platform. Key technical topics include:

• Designing Microsoft Power Platform solutions using AI-enabled tools like Copilot and natural language prompts.
• Developing Dataverse data models, model-driven apps, and canvas apps.
• Integrating agents and Copilot features into canvas apps, model-driven apps, and Power Pages.
• Building cloud flows and business logic within Power Automate.
• Understanding foundational knowledge of AI models and prompts in AI Hub.
• Awareness of environment governance, responsible AI principles, and application lifecycle management (ALM) strategies.