Microsoft Copilot Studio Course

Lesson 1 • What Is Copilot Studio

Defines Copilot Studio as a low-code conversational AI platform and positions it within the Microsoft Power Platform. Sets context for all subsequent hands-on work.

Lesson 2 • Creating Your First Copilot

Walks through the end-to-end wizard to publish a minimal working copilot. Provides immediate hands-on confidence before deeper concept study.

Lesson 3 • Setting Up Your Environment

Guides learners through tenant configuration, environment selection, and first login. A properly configured environment is required for all lab exercises.

Lesson 1 • Handling Fallback and Escalation

Configures the fallback topic, unknown intent responses, and live-agent escalation paths. Robust fallback design prevents dead-end user experiences.

Lesson 2 • Building Conversation Nodes

Covers message, question, condition, and redirect nodes to construct dialog trees. Each node type serves a distinct conversational function covered here.

Lesson 3 • Managing Variables in Topics

Introduces topic-scoped and global variables for storing and reusing user input. Variable management enables personalised, context-aware conversations.

Lesson 4 • Testing and Iterating Topics

Uses the built-in test canvas and conversation map to validate and refine topic logic. Iterative testing is essential before any production deployment.

Lesson 1 • Prebuilt Entities Overview

Surveys Microsoft-provided entities such as date, number, email, and geography. Prebuilt entities accelerate development by eliminating manual pattern coding.

Lesson 2 • Creating Custom Entities

Demonstrates closed-list and regex entity creation for domain-specific terms. Custom entities extend recognition beyond generic prebuilt coverage.

Lesson 3 • Validating and Transforming Input

Applies Power Fx expressions to validate entity values and transform raw input before storage. Input validation prevents downstream errors in actions and integrations.

Lesson 1 • Dataverse Integration Patterns

Implements create, read, update, and delete operations against Dataverse tables. Dataverse is the preferred persistence layer for enterprise copilot solutions.

Lesson 2 • Calling External APIs

Uses the HTTP action and custom connectors to call REST APIs from within a topic. API integration unlocks data from systems outside the Microsoft ecosystem.

Lesson 3 • Debugging and Monitoring Actions

Uses run history, error messages, and test flows to diagnose integration failures. Reliable debugging skills reduce production incident resolution time.

Lesson 4 • Creating Power Automate Flows

Builds cloud flows triggered by Copilot Studio and returns structured outputs back to the conversation. Flows extend copilot capabilities to any connected service.

Lesson 1 • Responsible AI Configuration

Applies content filters, citation settings, and data handling controls to meet governance standards. Responsible AI settings are compulsory for enterprise deployment approval.

Lesson 2 • Generative Answers Overview

Explains how Copilot Studio uses Azure OpenAI to generate answers from knowledge sources. Generative answers fill intent gaps without requiring explicit topic creation.

Lesson 3 • Connecting Knowledge Sources

Configures SharePoint sites, public URLs, and uploaded files as grounding knowledge. Quality knowledge sources directly determine answer accuracy and relevance.

Lesson 4 • Prompt Engineering for Copilots

Crafts system prompts and instructions that shape tone, scope, and response format. Effective prompts constrain AI behavior to match organisational requirements.

Lesson 1 • Web and Custom Canvas Deployment

Embeds the copilot via iframe or Direct Line token on internal and external websites. Web deployment extends copilot reach beyond Microsoft-native surfaces.

Lesson 2 • Publishing and Versioning

Covers the publish workflow, staging environments, and rollback procedures. Controlled publishing prevents untested changes from reaching end users.

Lesson 3 • Third-Party Channel Integration

Connects copilots to Slack, email, telephony, and other channels via Azure Bot Service. Multi-channel presence maximises user adoption across diverse workforces.

Lesson 4 • Microsoft Teams Deployment

Configures the Teams channel, app manifest, and admin approval for enterprise rollout. Teams is the most common internal deployment surface for enterprise copilots.

Lesson 1 • Built-In Analytics Dashboard

Navigates the summary, engagement, and outcomes dashboards to assess copilot health. Dashboard fluency is the starting point for any optimisation initiative.

Lesson 2 • Continuous Improvement Workflow

Establishes a review cadence for adding topics, refining triggers, and retiring stale content. Systematic improvement prevents copilot quality decay over time.

Lesson 3 • Conversation Transcript Analysis

Exports and reviews transcripts to uncover unhandled intents and friction points. Transcript analysis reveals real user language that trigger phrases may miss.

Lesson 1 • Data Loss Prevention Policies

Applies DLP policies to restrict connector usage and protect sensitive data flows. DLP policies are the primary governance control for Power Platform environments.

Lesson 2 • Authentication and Single Sign-On

Configures Azure Active Directory authentication and SSO for secure user identification. Authenticated copilots enable personalised and permission-aware responses.

Lesson 3 • Application Lifecycle Management

Uses solutions, pipelines, and source control to promote copilots across dev, test, and prod. ALM practices ensure repeatable, auditable deployments at enterprise scale.

Lesson 4 • Role-Based Access Control

Configures maker, viewer, and admin roles at environment and copilot levels. Proper RBAC prevents unauthorised modifications and data exposure.