From Build to Operate: ALM Patterns for Production‑Ready Copilot Studio Agents
Skills:
Agent Foundations70%
As teams move beyond experimentation and start deploying Copilot Studio agents into real environments, Agent Lifecycle Management (ALM) becomes essential. Production agents need more than good prompts—they need repeatable deployments, environment isolation, and governance‑ready configuration.
In this session, we’ll walk through practical ALM patterns for Copilot Studio agents using solutions as the source of truth, environment variables, and connection references. You’ll see how these patterns remove hard‑coded values and enable the same agent to move safely from Dev to Test to Production using managed solutions and pipelines.
The session also highlights emerging ALM capabilities in Copilot Studio and how they fit into the broader Power Platform ALM story. Attendees will leave with a clear mental model for building once, deploying many times, and operating agents with confidence at enterprise scale.
Learn to build AI agents step-by-step: https://aka.ms/agent-academy
Join the Agent Academy Hackathon: http://aka.ms/agent-academy-hackathon
Explore what you can do with Copilot Cowork: https://aka.ms/cowork-collective
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Anthropic courts a new kind of customer: small business owners
TechCrunch AI
How I Built an Autonomous AI SIEM With 10 Neural Networks in 3 Months
Medium · Machine Learning
Can AI Help Swiss SMEs Survive the Productivity Challenge?
Medium · AI
OpenAI’s Agent Traces Just Made Pretty Demos Dangerous
Medium · AI
🎓
Tutor Explanation
DeepCamp AI