Modules
- 51 modules
- 38 with labs
📚 Core Modules
Essential foundation modules - start here first!
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Overview of Agent Builder capabilities in Microsoft 365 for creating AI assistants.
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Agent creation, topics, knowledge sources, and tools in Copilot Studio.
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Variables, multi-agent architectures, and channel deployment.
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Analytics, evaluations, and monitoring agent performance.
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Integrating Copilot Studio with Azure AI services including Azure AI Search and Speech-to-Text.
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Creating web-based AI assistants using Agent Builder in Microsoft 365.
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Creating an agent for monthly business review preparation using SharePoint data.
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Creating AI solutions with the standard orchestrator in Copilot Studio.
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Proactive contract alerts in Teams using Azure AI Search and Speech-to-Text.
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Simplified entry point for creating AI agents using the Copilot Studio lite experience.
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Opening frame for the bootcamp: what an agent actually is in 2026, the five kinds of agent, the three harnesses that sit on top of Copilot Studio, and the ke...
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Microsoft 365 Copilot as an agent surface — public-web grounding, Work IQ, response modes, multi-model support, frontier agents, and where it sits against th...
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Cowork at bootcamp altitude — what it is, where it fits against the other agent surfaces, and how skills and plugins extend it.
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The overview that anchors Day 1: how orchestration has changed, what a harness is, and the component model each harness exposes — before the three deep dives...
🎯 Intermediate Modules
Build on core concepts with practical applications
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Solutions, environment variables, connection references, and pipelines for ALM.
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Using component collections in Copilot Studio for reusable agent components.
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Connectors, Power Automate flows, and custom tools in Copilot Studio.
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Orchestration concepts and dynamic chaining patterns in Copilot Studio.
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Governance zones, DLP policies, and security controls in Copilot Studio.
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Multi-agent architectures and collaboration patterns in Copilot Studio.
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A 200-level overview of the components of Copilot Studio — agents, topics, knowledge sources, tools, variables, and channels — covering both the classic auth...
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Workflows are the next generation of autonomous agents in Copilot Studio — inline agent connections, plus scheduled and event-driven triggers that let an age...
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Creating SharePoint-based AI assistants using Agent Builder in Microsoft 365.
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Building an ask me anything agent for employees using Copilot Studio.
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Integrating custom AI models with Copilot Studio.
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Building expense claims agents with approval workflows.
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ALM best practices and environment setup for Copilot Studio.
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Dedicated pass over the Copilot harness: Agent Builder, pro-code declarative agents, and declarative agents authored in Copilot Studio.
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Dedicated pass over the Standard harness and the component model it exposes in Copilot Studio.
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The longest dedicated harness pass: the GitHub Copilot harness and its full component model — instructions, skills, knowledge, tools, memory, sandbox, and de...
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Creating agents in the GitHub Copilot harness two ways — from the authoring UX and from natural-language chat.
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Token optimization for creation and execution. Copilot credit management and capacity planning.
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Merged deep dive on grounding and action: knowledge sources and retrieval, then connectors, agent flows, custom prompts, and MCP servers.
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How instructions shape behaviour on every turn, and how descriptions drive selection — which tool, knowledge source, or agent the planner reaches for.
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Skills as instructions on demand — packaging behaviour into a reusable unit the orchestrator loads only when it becomes relevant.
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One operations module: traditional ALM and component collections, folded together with reporting, analytics, and agent evaluations.
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Closing operations module: governance zones, DLP and managed environment controls, brought together with Agent 365.
🚀 Advanced Modules
Complex scenarios and autonomous agents
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Building autonomous agents that can operate independently with minimal human intervention.
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Building autonomous agents that use computer interfaces to retrieve data from legacy systems.
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Creating autonomous support agents for productivity automation.
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Building a data fabric agent for unified data access.
⚡ Specialized Modules
Development tools, analytics, and platform features
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Using the Copilot Studio plugin with GitHub Copilot CLI and Claude Code.
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Overview of the Agent 365 platform and its capabilities.
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Copilot Studio licensing models, pricing tiers, and capacity planning.
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Measuring agent success and using analytics effectively.
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Source control and deployment pipelines for Copilot Studio agents.
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Using the Copilot Studio Kit for testing and evaluation.
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Using Model Context Protocol for lead qualification scenarios.
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Building and connecting custom MCP servers with Copilot Studio.
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Using the Dataverse MCP connector with Copilot Studio agents.
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Coding agents against Copilot Studio: the plugin for GitHub Copilot CLI and Claude Code, migrating existing agents, and creating new ones from the terminal.