This module develops the Contact Center agent design and cross-channel orchestration skills needed to deliver consistent, connected customer experiences across voice and chat channels. Learners design channel configurations, cross-channel handoff logic, and human escalation workflows for an insurance company scenario.

This module extends Dynamics 365 (D365) AI design skills into the finance and supply chain application domains—covering AI feature activation and orchestration for D365 Finance and Supply Chain Management, knowledge source integration for agent chats, and in-app guidance design using SharePoint and company standard operating procedures (SOPs). The AI features that an organization activates determine the knowledge gaps that in-app guidance needs to fill, so feature selection is designed before in-app guidance architecture.

This module develops the canvas app AI integration design skills needed to build production-ready intelligent applications in Power Platform. Learners design Copilot Studio agent embeddings, AI Hub component integrations, and Power Automate AI flow connections—with error handling and graceful degradation patterns for each—applied to a field service scenario.

This module develops the Well-Architected Framework evaluation and remediation design skills needed to assess the production readiness of Power Platform AI solutions. Learners apply the five Well-Architected Framework pillars to the field service canvas app scenario, identifying critical gaps, classifying them by severity, and producing specific remediations grounded in the actual application design.

This module develops the environment strategy and governance design skills that are prerequisite to ALM pipeline design. Learners define environment topology, connection reference management, environment variable design, and governance controls for Microsoft and third-party AI integrations—applied to a three-specialist Copilot Studio agent solution with Dynamics 365, SharePoint, and a third-party API.

This module builds the ALM pipeline design on top of the environment strategy, covering source control approach, managed solution packaging, Power Platform Pipeline configuration, deployment approval gates, and rollback procedure design. Learners apply these skills through a mix of structured practice and AI-graded architectural reasoning that produces a complete ALM pipeline specification for a financial enterprise scenario.

This module develops the Foundry agent lifecycle management design skills needed to govern the deployment and versioning of Microsoft Foundry agents across environments. Learners design versioning strategies, environment promotion processes, and CI/CD pipeline configurations applied to a regulated financial services credit assessment agent scenario compliance review.

This module extends Foundry lifecycle management into the custom model and data layer, designing the processes that govern training dataset versioning, model promotion gates, grounding source updates, production monitoring, and drift detection and response. Learners apply these skills to a financial services document intelligence model scenario.

Learners produce an integrated D365, Power Platform, and ALM architecture document for a provided enterprise scenario, synthesizing D365 AI configuration, Power Platform WAF evaluation, Copilot Studio ALM pipeline design, and Microsoft Foundry agent lifecycle management into a single coherent delivery architecture package that mirrors the platform delivery artifacts a senior AI solutions architect produces before an enterprise production launch.