This course provides a practical, end-to-end introduction to building AI solutions with Microsoft Foundry in enterprise environments. You will start by learning the purpose, architecture, and core capabilities of Microsoft Foundry, including how it supports solution governance, deployment, and lifecycle management. You will also review the foundational concepts and expectations needed to begin working effectively with Foundry and its SDKs. From there, the course dives into key generative AI concepts and how they power modern AI applications built on Microsoft technologies. You will differentiate the major Microsoft AI service patterns for enterprise solution development and explore how an AI-first business strategy and the Microsoft Cloud Adoption Framework shape generative AI solution design. You will then analyze model and generative AI development techniques commonly used in Foundry workflows and apply Foundry-based considerations to plan robust, compliant enterprise solutions that align with business and technical requirements.
In the final part of the course, you will focus on agentic and multi-agent solutions. You will explore the Microsoft tools, services, and product ecosystem that support agent development with Microsoft Foundry, including Microsoft Foundry Agent Service and the Microsoft Agent Framework. You will learn how generative models, prompting strategies, tool usage, embeddings, retrieval patterns, and deployment options influence agent behavior. By the end of the course, you will have created and tested a practical AI agent using Microsoft Foundry Agent Service to automate a real-world workflow scenario.
