As a learner for this certification prep, you’re an accomplished solution architect with expertise in designing and delivering AI-driven business solutions that transform business processes and foster innovation. You’re experienced in creating scalable, secure, and integrated solutions that use multiple Microsoft services to address complex organizational challenges.
Duration - 10 Hours
Level - Advanced
Style - Self paced
Course Type - Credential Ready
Certification - Yes
Hands on Labs - No
Solution Areas - Cloud & AI Platform, Innovate with Azure AI Apps and Agents
Featured Product - Microsoft Dynamics 365
In this introductory module, we will walk you through the key information you need to know before starting your certification prep course. You'll gain a clear understanding of the steps, expectations, and benefits
This module introduces the role of an AI architect in business transformation and provides an overview of Microsoft AI technologies. Learners will analyze requirements for AI-powered solutions, assess agent use cases, review data quality for grounding, and design an overall AI strategy including multi-agent solutions, knowledge sources, and when to build custom agents or extend Microsoft 365 Copilot.
This module covers evaluating AI solution costs and benefits, including ROI analysis and build vs. buy decisions. Learners will then design various agent types (task, autonomous, prompt/response), create topics and flows in Copilot Studio, and explore data processing for AI models. Includes demos on building agents with Copilot Studio and Microsoft Foundry.
This module explains how to design extensible AI solutions using custom models, Copilot agents, and advanced behaviors like reasoning and voice. It also covers orchestrating configurations for prebuilt agents and apps, integrating AI features across Microsoft 365, Dynamics 365, and Power Platform to support business scenarios. Finally, it emphasizes monitoring and tuning AI-powered solutions by analyzing feedback, applying AI tools for issue resolution, and tracking agent performance metrics.
This module explains how to manage testing of AI-powered business solutions by defining metrics, validation criteria, and end-to-end scenarios across multiple apps. It then outlines designing the ALM process for data, agents, connectors, and custom models to ensure structured lifecycle management. Finally, it emphasizes responsible AI practices by addressing security, governance, risk management, compliance, and adherence to ethical principles.
In this exam preparation module, learn effective preparation strategies for the certification exam, including sample questions and study tips.
Take this practice test to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.
If you have further questions or need additional support, this module provides everything you need to know.
You can now mark your course completion on your Microsoft Learn profile using your Achievement Code. Redeeming your code will add your achievement to your profile and help track your learning progress, badges, and certification readiness.
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Last Updated 15 May 2026