Role-Based Programme
RB0566

Microsoft Copilot Studio for Information Technology

Architect, Integrate & Govern Enterprise AI Agent Solutions

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in architecting, building, integrating, deploying, and operating Microsoft Copilot Studio agents for enterprise IT environments.
  • Design sophisticated agents that combine generative orchestration, enterprise knowledge, APIs, connectors, MCP tools, Agent Flows, and autonomous triggers.
  • Architect modular multi-agent solutions with clearly defined responsibilities, data boundaries, delegation rules, and human-control points.
  • Implement reusable testing, evaluation, monitoring, troubleshooting, ALM, and production-support practices for enterprise agents.
  • Establish secure and governed agent operating models covering identity, least privilege, data protection, environment strategy, auditability, lifecycle management, and continuous improvement.

Tools covered

Microsoft Copilot StudioAI AgentsStandard HarnessGenerative OrchestrationKnowledge Sources & RAGAgent ToolsPower Platform ConnectorsCustom ConnectorsREST APIsModel Context Protocol (MCP)Agent FlowsEvent TriggersAutonomous AgentsConnected AgentsMulti-Agent OrchestrationPower FxDataverseHuman-in-the-LoopAgent EvaluationAnalytics & MonitoringPower Platform Solutions & PipelinesMicrosoft EntraMicrosoft Agent 365Data Policies & Governance Controls

Who should attend

  • IT Managers
  • Enterprise Architects
  • Solution Architects
  • Application Architects
  • AI & Automation Architects
  • Software Engineers
  • Application Developers
  • Integration Engineers
  • Cloud Engineers
  • Platform Engineers
  • DevOps Engineers
  • System Integration Professionals
  • IT Automation Professionals
  • Application Support Engineers
  • Technical Leads
  • Microsoft Power Platform Professionals

Prerequisites & Participant Readiness

  • Good understanding of enterprise IT systems, applications, integrations, and business workflows
  • Familiarity with APIs, authentication, databases, cloud services, and system architecture
  • Working knowledge of Microsoft 365, Power Platform, or equivalent enterprise platforms is recommended
  • Basic understanding of Power Automate or workflow-automation concepts is beneficial
  • Familiarity with REST APIs, JSON, and integration patterns is recommended
  • Basic understanding of AI agents, LLMs, and generative AI concepts is helpful
  • No previous Microsoft Copilot Studio course completion required

TOC Modules

Concepts
  • Understanding Copilot Studio as a platform for building and operating enterprise AI agents and workflows
  • Understanding agents, instructions, knowledge, tools, workflows, triggers, channels, and orchestration
  • Understanding current harness choices and how platform capabilities differ by agent experience
  • Mapping conversational, transactional, event-driven, and autonomous IT agent patterns
  • Understanding the complete Build → Publish → Analyse → Improve agent lifecycle
Practical activities
  • Analysing an enterprise IT requirement and selecting an appropriate agent architecture
  • Mapping User / Event → Agent → Knowledge → Tool → System → Outcome
  • Creating a high-level Copilot Studio solution architecture

Scenarios

IT Service Event to Governed Autonomous Resolution

Infrastructure / Application Event → Copilot Studio Event Trigger → Generative Orchestration → Knowledge & System Context → Diagnostic Tool / MCP Service → Agent Flow → Human Approval for High-Risk Action → System Update → Validation → Monitoring

Participants architect an event-driven IT agent that investigates an operational event and coordinates resolution while ensuring privileged or potentially disruptive actions remain under authorised human control.

Enterprise IT Front Door to Multi-Agent Service Delivery

Employee IT Request → Primary IT Agent → Intent & Context Analysis → Specialist Connected Agent → Enterprise Knowledge → Connector / API / MCP → Deterministic Workflow → Human Escalation if Required → Resolution → Evaluation & Analytics

Participants build a modular IT agent architecture where specialist agents handle defined domains while a primary agent provides controlled orchestration, system integration, traceability, and a consistent user experience.

## Current Capability Reference

Microsoft currently describes **Copilot Studio** as a graphical, low-code platform for building and managing AI-powered agents and workflows, connecting them with enterprise data and systems, and deploying them across supported channels. The platform now provides explicit architectural choices around agent harnesses and solution design. ([Microsoft Learn][1])

Current **generative orchestration** uses an LLM-driven planning layer to interpret intent, create multi-step plans, and dynamically select **knowledge, tools, actions, topics, connected agents, and autonomous triggers**. Microsoft recommends retaining deterministic controls for mission-critical or irreversible actions rather than leaving every decision to generative reasoning. ([Microsoft Learn][2])

Current **Agent Flows** support agent, event, manual, and scheduled execution together with AI actions, human-in-the-loop activities, branching, loops, data operations, child flows, Microsoft 365 services, third-party connectors, and custom connectors. Agent Flows can also be managed within solutions for versioning and ALM scenarios. ([Microsoft Learn][3])

Copilot Studio currently supports **MCP servers** as agent tools. MCP tools can be selectively enabled, are subject to Power Platform connector data policies, and should be tested to validate tool selection, arguments, authentication, and returned results before production deployment. ([Microsoft Learn][4])

Current Copilot Studio architecture also supports **connected-agent and multi-agent patterns**, allowing a primary agent to delegate specialised work to separately managed agents with their own knowledge, tools, orchestration, ownership, and security boundaries. ([Microsoft Learn][5])

For production lifecycle management, agents are managed through **Power Platform solutions and environments**, supporting custom solutions, import/export, versioning, pipelines, and controlled promotion across development, testing, and production environments. ([Microsoft Learn][6])

As of **September 2026**, Microsoft's current security and governance model includes Power Platform data policies, environment controls, publishing restrictions, connector governance, audit logging, risk assessment, agent identities, and—where organisations adopt it—**Microsoft Agent 365** as a central control plane for agent observability, governance, and security. ([Microsoft Learn][7])

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