Introduction
This module focuses on designing extensible AI solutions in enterprise environments. It introduces solution architects to the foundational concepts, architectural patterns, and best practices for building scalable, secure, and customizable AI solutions by using Microsoft platforms. Extensibility is a critical capability that enables organizations to tailor AI systems to their unique business processes, compliance requirements, and operational constraints.
Throughout this module, you explore how to use custom models in Microsoft Foundry, design and operationalize agents within Microsoft 365 Copilot, and extend agent capabilities by using Copilot Studio, including advanced integration through the Model Context Protocol (MCP). The module guides you through structured approaches for model and agent design, integration with enterprise systems, governance, lifecycle management, and professional visualizations that can be adapted for documentation and presentations.
By the end of this module, you are equipped with expert-level guidance and practical frameworks to architect AI solutions that are not only robust and compliant, but also extensible enough to meet evolving business needs across diverse scenarios and platforms.