Building AI Agents with Copilot Studio
A ~30-minute production-readiness course for Power Platform builders. 6 components, 4-question topic framework, 12-item production gate. Voice: Andrew.
8
Chapters
~30 min
Duration
Intermediate
Level
No
Certification
Who this is for
For Power Platform makers, Copilot Studio architects, ITSM leads, and IT teams owning agent estates.
How this course works
- 8 audio-narrated slide chapters · ~30 min of focused content
- Narrated by Andrew (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- The 6 components of the Copilot Studio stack — and the 3 architectural decisions made deliberately at the start
- The 4-question framework for topic vs generative answers — avoid the topic-explosion anti-pattern most teams hit by topic 20
- Plugins + connectors at production scale — the 4-component auth model and 3 production failure modes
- Agents + agent flows with state isolation tested under concurrent load — not just in single-user demos
- Knowledge sources at scale — SharePoint, files, web, MCP, Dataverse with row-level security
- Deployment through 3 environments with managed solutions and pipelines that scale across the estate
- Governance with 3 layers — tenant, environment, per-agent — plus the 5 monitoring signals you watch
- The 12-item production-readiness checklist and 4 week-one conversations to schedule with stakeholders
Course content
8 chapters · ~30 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
Copilot Studio architecture
6 components · 3 architectural decisions (environment · auth · knowledge sources) · governance from day one.
Topic design vs generative answers
4-question framework · topic-explosion anti-pattern · the hybrid pattern mature agents converge to.
Plugins and connectors at production scale
3 connector patterns · 4-component auth model · 3 production failure modes (errors · rate limits · latency).
Agents and agent flows
3 differences (state · reasoning · tool composition) · 3 orchestration patterns · state isolation under concurrent load.
Knowledge sources, MCP, and Dataverse
3 source types · MCP scope-down + observability + versioning · Dataverse 4-check (RLS · roles · field-level · cross-role test).
Deployment, ALM, and environments
3-environment promotion path · 3 solution rules · 3 pipeline patterns matched to scale.
Governance and monitoring at scale
3 governance layers · 5 monitoring signals · 3 estate-management rhythms (weekly · quarterly · annual).
Production-grade Copilot Studio agent
3-section design doc · 12-item production gate (4 architecture · 4 security · 4 operations) · interactive builder.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.