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Manage projects with AI and become an augmented project manager
Your projects generate information that AI can help you use. Identify applications for preparing project controls, structuring discussions and supporting analysis, while checking results. Develop a practice that strengthens your project management judgement without replacing it.
- Duration
- 4 days 28 hours
- Code
- GEP30FR Code
Presentation
Traditional project management is evolving: growing complexity and demands for speed are making artificial intelligence a gateway to the augmented project manager. This 4-day course helps you move beyond conventional management to integrate tools that analyse, predict and automate.
The programme centres on direct experimentation. Beyond theoretical concepts, you will use practical solutions to generate deliverables such as WBS and project charters, anticipate schedule slippage and support decisions. You will discover how AI can become a daily copilot, managing data so that you can focus on people and strategy.
By the end of the course, you will be able to deploy these technologies in your own projects. Through a complete project simulation, you will validate a proven methodology for integrating AI throughout the project lifecycle, from initiation to closure.
Objectives
By the end of this course, you will be able to:
- understand AI fundamentals and types, including supervised and generative AI;
- use AI to produce project deliverables, including charters, WBS and communication plans;
- optimise planning and risk management through predictive analysis;
- automate reporting and repetitive administrative tasks;
- manage a complete AI-augmented project while addressing ethical considerations.
Program
Module 1: Understanding AI and its implications
- Defining artificial intelligence and its historical development.
- Exploring supervised, unsupervised and reinforcement learning.
- Discovering no-code tools that make AI accessible to non-technical users.
Hands-on exercises
- Create simple AI models using a drag-and-drop platform such as Google Teachable Machine.
Module 2: Integrating AI into the project lifecycle
- Overview of AI's impact on roles and the new skills required.
- Using generative assistants such as ChatGPT and Copilot during project scoping.
- Automated production of foundational documents: charter, WBS and communication plan.
Hands-on exercises
- Write a complete project charter and structure a WBS from a given context using AI.
Module 3: Optimising project control with an AI copilot
- Support for advanced planning and intelligent resource allocation.
- Early detection of risks and delays, and cost forecasting.
- Integrating AI into collaborative tools such as Teams, Slack and Notion AI for task tracking.
Hands-on exercises
- Configure an automation process for reporting and meeting minutes.
Module 4: Simulating an augmented project
- Managing a complete simulated project with AI-enhanced stages.
- Critically analysing results and preparing an AI-assisted steering committee meeting.
- Ethical challenges, data protection and potential biases to monitor.
Case study
- Complete an end-to-end project simulation, from launch to steering committee presentation.
Audience
This course is intended for management and coordination professionals seeking to integrate AI into everyday work, including:
- project managers managing schedules and resources daily and seeking greater efficiency;
- team managers seeking better decision-making and automated reporting;
- project directors and PMO professionals seeking to understand AI's strategic impact on portfolio governance;
- anyone involved in managing activities who wants to become an augmented manager.
Prerequisites
The following prerequisites apply:
- Professional experience: prior project management experience as a project manager, coordinator or manager is essential to understand the issues covered.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Practical exercises
- Case study
Course highlights
- Operational approach: apply AI directly to standard deliverables, including WBS, charters and risks, for immediate results.
- Immersive simulation: validate skills through a continuous case study covering the entire project lifecycle.
- Dual perspective: master generative and predictive tools alongside strategic management considerations such as skills and ethics.
- Productivity gains: automate time-consuming tasks, including minutes and monitoring, to refocus on people management.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.
Any brand names and logos mentioned in this course description, such as ChatGPT, Copilot, Notion AI and Teams, belong to their respective owners.
Their mention for educational purposes does not constitute an endorsement or partnership.