Building Context-Aware AI Agents with Copilot Studio

Once users are comfortable with generative AI and Microsoft Copilot, the next challenge is making AI useful beyond individual conversations. Enterprise agents need more than good prompts. They need the right context, access to appropriate knowledge, clearly defined instructions, controlled actions, and enough structure to behave consistently within a business process.

This one-day course moves beyond introductory AI concepts and concentrates on the practical design and construction of context-aware agents using Microsoft Copilot Studio. The emphasis is on understanding what information an agent receives, where that information comes from, how context is maintained during an interaction, and how knowledge, variables, instructions, tools, and business data influence the agent's decisions.

Current Copilot Studio capabilities increasingly center on generative orchestration, where agents can select among knowledge sources, tools, topics, and other capabilities according to the user's request rather than relying entirely on rigid conversational flows. Microsoft has also expanded its agent architecture around organizational knowledge, dynamic user context, connectors, tools, and Model Context Protocol integrations. This makes context design an important part of agent development: an effective agent must not simply have access to information; it must receive the right information at the right point and operate within appropriate boundaries.

The course therefore focuses heavily on context engineering and agent construction, rather than introductory prompting or general AI theory. Participants will work at the level of agent purpose, instructions, knowledge sources, variables, tools, orchestration, user context, and testing. Copilot Studio's current knowledge model can incorporate sources such as SharePoint, Dataverse, Azure AI Search, enterprise connectors, and other organizational information, while orchestration determines how those resources are selected and used.

The instructor has over 30 years of industry experience and will approach the subject from the perspective of building workable business solutions rather than delivering an academic treatment of AI. Because this is a one-day intermediate course, coverage is intentionally concentrated on the agent capabilities that participants can realistically understand and apply within the available time.