Section 1: AI Agents in the Organisation and a Copilot Studio Overview
How an agent differs from a chatbot and from everyday Copilot
Copilot Studio compared with the simpler agent builder in Microsoft 365 Copilot
The parts of an agent: instructions, knowledge, topics, tools and triggers
Lab: explore Copilot Studio and create a first agent from a description
Section 2: Workshop: Designing an Agent from a Real Business Problem
Choosing work that suits an agent, and work an agent should not do
Defining users, scope, role and what the agent must decline
Sketching knowledge sources, tools and hand-off points to people
Workshop: complete an Agent Design Canvas for an HR or IT helpdesk case
Section 3: Instructions and Agent Behaviour
Write instructions that are clear about role, tone and scope
Set the answer format, language and how sources are cited
Balance the model's general knowledge against organisation-specific knowledge
Lab: refine the instructions and compare answers before and after
Section 4: Lab: Knowledge from SharePoint, Files and Websites
Connect knowledge from SharePoint sites and document libraries
Upload files and add public websites as knowledge sources
Prepare documents so the agent finds them and answers more accurately
Lab: an agent that answers company policy questions with citations
Section 5: Topics for Conversations That Need Control
When to use a topic instead of letting the agent answer on its own
Topic triggers, question nodes, messages and conditions
Variables, entities and collecting information from users step by step
Lab: an issue-reporting topic that collects complete details before hand-off
Section 6: Generative Orchestration
How the agent plans and chooses topics, tools and knowledge
Write topic and tool descriptions so the agent chooses correctly
Use the activity map to see what the agent decided at each step
Lab: fix cases where the agent picks the wrong tool because of vague descriptions