Building AI Agents with Copilot Studio
No vendor-pitch hype. Six components of the Copilot Studio stack with three architectural decisions made deliberately at the start. The four-question framework for topic vs generative answers — and the topic-explosion anti-pattern most teams hit by their twentieth topic. Plugins and connectors at production scale with the four-component auth model and three production failure modes (errors, rate limits, latency). Agents and agent flows with state isolation tested under concurrent load. Knowledge sources including SharePoint, files, web, MCP, and Dataverse with row-level security. Deployment through three environments with managed solutions and pipelines that scale. Governance with three layers (tenant, environment, per-agent), five monitoring signals, and three estate-management rhythms. Production-grade agent design with the 12-item gate checklist and four week-one conversations.
8
Chapters
~75 min
Duration
Intermediate
Level
No
Certification
Course Content
Copilot Studio architecture
Six components and where each runs · three architectural decisions you make at the start · governance touchpoints from day one (DLP, auth, sensitivity labels).
Topic design vs generative answers
The four-question decision framework per intent · the topic-explosion anti-pattern (recognition degradation, maintenance fatigue, trigger overlap) · the hybrid pattern mature agents converge to.
Plugins and connectors at production scale
Three connector patterns (first-party · certified third-party · custom) · four-component auth model · three production failure modes (errors, rate limits, latency variance).
Agents and agent flows
Three differences that make an agent (state, reasoning, tool composition) · three orchestration patterns (Q&A · transactional · research) · state isolation tested under concurrent load.
Knowledge sources, MCP, and Dataverse grounding
Three knowledge source types · MCP integration with per-agent scope-down + observability · Dataverse grounding with RLS, security roles audit, field-level security, cross-role test before launch.
Deployment, ALM, and environments
Three-environment promotion path (dev/test/prod) · three solution rules (one agent per solution, managed in test/prod, semantic versioning) · three pipeline patterns matched to scale.
Governance and monitoring at scale
Three governance layers (tenant, environment, per-agent) · five monitoring signals (usage, recognition, action success, cost, feedback) · three estate-management rhythms (weekly, quarterly, annual).
Capstone — Your production-grade Copilot Studio agent
Three-section agent design document · 12-item production-gate checklist (4 architecture, 4 security, 4 operations) · four conversations Monday.