Building AI Agents with Copilot Studio
A 75-minute production-readiness course — architecture, topics vs generative, plugins, agents, knowledge + MCP + Dataverse, ALM, and governance at scale.
Last updated: 2026-05-20
What you'll learn
By the end of this course you'll be able to:
- Copilot Studio architecture — six components and the three architectural decisions at the start
- Topic design vs generative answers — four-question framework + the topic-explosion anti-pattern
- Plugins and connectors at production scale — auth model + three production failure modes
- Agents and agent flows — three orchestration patterns + state isolation under concurrent load
- Knowledge sources, MCP, and Dataverse grounding with row-level security and cross-role test
- Deployment with three environments + managed solutions + pipelines matched to scale
- Governance and monitoring at scale — three layers + five signals + three estate rhythms
- Your production-grade agent — three-section design + 12-item gate checklist + four conversations
Who this is for
Power Platform developers, citizen developers, solution architects, and admins responsible for the Copilot Studio footprint in their organisation. Useful whether you're building your first agent or your fiftieth — and essential for teams scaling beyond five agents where governance discipline becomes the determinant of program success.
Curriculum
8 chapters · 2 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. Copilot Studio architecture
- Map the six components and where each runs (topics, generative, plugins, agents, knowledge, governance)
- Make the three architectural decisions at the start of every agent explicitly
2. Topic design vs generative answers
- Apply the four-question framework per intent (determinism, actions, finite space, variation)
- Recognise the topic-explosion anti-pattern early and converge to the hybrid pattern
3. Plugins and connectors at production scale
- Choose between first-party, certified third-party, and custom connectors deliberately
- Deploy the four-component auth model and three production failure-mode patterns
4. Agents and agent flows
- Match the orchestration pattern (Q&A, transactional, research) to the actual problem class
- Pass the concurrent-user state isolation test before launch
5. Knowledge sources, MCP, and Dataverse grounding
- Combine SharePoint, files, web, and MCP sources matched to content's natural home
- Configure Dataverse RLS, field-level security, and pass the three-role cross-test before launch
6. Deployment, ALM, and environments
- Run the three-environment promotion path (dev/test/prod) with managed solutions in test and prod
- Pick the right pipeline pattern (Power Platform Pipelines, Azure DevOps, GitHub Actions) for your scale
7. Governance and monitoring at scale
- Configure all three governance layers (tenant, environment, per-agent) explicitly
- Monitor the five signals (usage, recognition, action success, cost, feedback) with the three rhythms
Capstone: Capstone — Your production-grade Copilot Studio agent
- Write the three-section agent design document and self-pass the 12-item production-gate checklist
- Schedule the four week-one conversations (business owner, architect, infosec, two intended users)
Capstone deliverable: Every learner who completes this course produces «Your Production-Grade Copilot Studio Agent» — a tangible artifact you take back to your organization.
Interactive Course · Free
Full web-rendered experience available now.
All 8 chapters live with interactive slides, audio narration, mock-exam practice, and cross-device progress tracking. The first two chapters are accessible without an account.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
Microsoft Copilot Studio Documentation
Microsoft Learn · Source link
Power Platform ALM Documentation
Microsoft Learn · Source link
Model Context Protocol Specification
Anthropic · Source link
Dataverse Security Documentation
Microsoft Learn · Source link
Course details
Track
Builder
Level
Intermediate
Audience
Technical practitioner
Function
IT & Engineering
Industry
Cross-Industry
Stack
Microsoft
Paired Gennoor Way phase
innovate, build, sustain
Format
interactive, video, hands-on
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
Or just keep learning. We recommend next:
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