Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Creating AI Project Management Agents with Copilot equips participants with the skills to design, build, and deploy AI agents that enhance project planning, execution, and decision-making. Participants will explore how AI agents support core project management functions such as scope, scheduling, risk, communication, and resource management. The course covers agent architecture, workflow design, and best practices for creating reliable, secure, and effective agents. Through hands-on labs and real-world scenarios, participants will build and apply agents to common project challenges. By the end, learners will be able to develop and scale AI agents that improve project efficiency and outcomes.
Learning Objectives »
Explain how AI agents support project management workflows.
Design and build project management AI agents using Copilot.
Apply best practices for reliability, security, and governance.
Use AI agents across core project management domains.
Deploy, monitor, and scale agents to improve performance.
Course Agenda
Understanding PM Agents
The Power of AI in Your Workflow
Understanding the AI “Agent”
The Three Pillars of AI Success
Content Control with RAG
Human-in-the-Loop Design
Building Your First Agent
Creating PM Agents
Understanding Copilot's Architecture
Core Agent Components
“Rules Files” & Custom Instructions
Markdown Language for Applying Rules
Applying and Mitigating Bias
Security and Governance
Moving to Execution
Types of PM Agents
One Copilot, Many Specialists
Scope & Requirements Agent
Schedule Management Agent
Risk & Issue Management Agent
Communication & Status Agent
Resource & Budget Monitor
Portfolio & Governance Support
Monitoring & Iterative Refinement
Managing the Enterprise
Enterprise Considerations & Deployment
Enterprise-Grade Data Sensitivity
Compliance Alignment
Change Management for AI Adoption
Ethical and Responsible AI Use
Content Filtering & Safety
Publishing Agents to the Organization
Monitoring Performance
Iterative Refinement
Scaling Across the Organization
The AI-Powered PMO
Creating AI Project Management Agents in Copilot
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Creating AI Project Management Agents with Copilot equips participants with the skills to design, build, and deploy AI agents that enhance project planning, execution, and decision-making. Participants will explore how AI agents support core project management functions such as scope, scheduling, risk, communication, and resource management. The course covers agent architecture, workflow design, and best practices for creating reliable, secure, and effective agents. Through hands-on labs and real-world scenarios, participants will build and apply agents to common project challenges. By the end, learners will be able to develop and scale AI agents that improve project efficiency and outcomes.
Learning Objectives »
Explain how AI agents support project management workflows.
Design and build project management AI agents using Copilot.
Apply best practices for reliability, security, and governance.
Use AI agents across core project management domains.
Deploy, monitor, and scale agents to improve performance.
Course Agenda
Understanding PM Agents
The Power of AI in Your Workflow
Understanding the AI “Agent”
The Three Pillars of AI Success
Content Control with RAG
Human-in-the-Loop Design
Building Your First Agent
Creating PM Agents
Understanding Copilot's Architecture
Core Agent Components
“Rules Files” & Custom Instructions
Markdown Language for Applying Rules
Applying and Mitigating Bias
Security and Governance
Moving to Execution
Types of PM Agents
One Copilot, Many Specialists
Scope & Requirements Agent
Schedule Management Agent
Risk & Issue Management Agent
Communication & Status Agent
Resource & Budget Monitor
Portfolio & Governance Support
Monitoring & Iterative Refinement
Managing the Enterprise
Enterprise Considerations & Deployment
Enterprise-Grade Data Sensitivity
Compliance Alignment
Change Management for AI Adoption
Ethical and Responsible AI Use
Content Filtering & Safety
Publishing Agents to the Organization
Monitoring Performance
Iterative Refinement
Scaling Across the Organization
The AI-Powered PMO
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