Transforming Project Management with AI Agents
1h 21mIntermediate2026-06-09
Authors

Ricardo Vargas
Course details
Explore the groundbreaking potential of AI agents in modernizing your project management approach. Master the practical process of building and configuring AI agents to enable automated task management, improved communication, and enhanced decision-making. Use hands-on demonstrations to create and deploy AI agents tailored to your unique project needs. Discover how to automate reporting, risk detection, and documentation processes while designing custom project agents that boost team performance. Understand how to navigate advanced concepts like autonomous agents and multi-agent systems to prepare for the future of AI-enhanced project delivery. Designed for project managers, PMO professionals, and operations leaders, this course prepares you to lead adaptive projects efficiently, armed with new technologies that promise agility and precision in project execution.
Learning objectives
Explain what AI agents are and how they transform project planning, execution, and decision-making.
Configure and build AI agents using tools to support real project workflows.
Apply AI agents to automate reporting, communication, risk detection, documentation, and task management.
Design and deploy custom project agents, from risk-management systems to PMO dashboards, that enhance team performance and agility.
Evaluate advanced concepts such as autonomous agents and multi-agent systems to prepare for the future of AI-enabled project delivery.
Learning objectives
Explain what AI agents are and how they transform project planning, execution, and decision-making.
Configure and build AI agents using tools to support real project workflows.
Apply AI agents to automate reporting, communication, risk detection, documentation, and task management.
Design and deploy custom project agents, from risk-management systems to PMO dashboards, that enhance team performance and agility.
Evaluate advanced concepts such as autonomous agents and multi-agent systems to prepare for the future of AI-enabled project delivery.
Concepts
Introduction
- Reskilling for agentic AI project management
Project Management AI Tools and Approaches
- Practical setup for the agent building
- Gen AI vs. agentic AI
- Types of AI agents
- When to deploy AI agents in your projects
Build a Project Stakeholder Communication Plan with Manus
- Case overview - Stakeholder and communication plan
- Using Manus in project management
- Build the prompt and execute the agent in Manus
- Results analysis - Comms plan agent
Build a Risk Management Agent with n8n
- Case overview - Risk management
- Using n8n to support project management
- Build your risk management agent in n8n
- Results analysis - Risk agent
Build a Source of Truth with Claude Cowork
- Case overview - Your project data is chaotic
- Using Claude Cowork in project management
- Build your single source of truth in Claude Cowork
- Results analysis - File structure organization
Advanced AI Agents
- Autonomous AI agents - Can projects run themselves
- Multi-agent systems - Coordinating multiple AI agents
- AI agents in global, cross-cultural projects
- Where agentic AI harms project management
Conclusion
- Planning for new AI tools