AI in Project Management: Hands-On Seminar
Use AI Strategically to Manage Projects More Efficiently
- Applications of AI in Project Management
- Developing Precise Prompts for Project Tasks
- Analyzing Risks and Stakeholders with AI Support
- Experience ChatGPT, Copilot, Claude, and Gemini Firsthand
- Work on Your Own Projects in a Practical Setting
Training formats
Open enrolment training
Benefit from exchanging ideas with participants from other companies.
- Sound knowledge, engagingly taught and put straight into practice
- 1-Day Intensive Workshop
In-house training
We come to you – tailored, flexible and practical for your team.
- Content tailored to your team and your projects
- Date, location and language as you prefer
Individual coaching
One-to-one coaching for your goals and specific project challenges.
- Maximum focus on your questions
- Scheduled to suit you
Seminar at a glance
What is this seminar about?
Artificial intelligence can accelerate and structure project work and support informed decision-making—provided it is used in a targeted and responsible manner. In this seminar, you’ll gain hands-on experience working with ChatGPT, Copilot, and Gemini and explore their applications—from clarifying project scope and defining objectives, through planning and resource management, to risk analysis, communication, and reporting. You’ll work on your own questions, receive direct feedback, and develop a realistic understanding of where AI provides real value in project management and where its limitations lie.
- Duration 1 day
- Format In-person or live online
- Target group Project managers, PMO leads, team members, executives, and others involved in projects
- Prerequisites No specific IT or AI knowledge is required; a basic understanding of project management is required
- PDUs 8 PDUs | 8 Ways of Working
- Certificate Digital Certificate of Participation
- Price 790 euros plus sales tax
What you'll be able to do after the seminar
- Learn about ways to use AI in projects
- Formulate precise prompts for project tasks
- Capture project requirements using AI-driven
- Defining project goals clearly and measurably
- Analyzing stakeholder interests with AI
- Planning resources and budgets with AI support
- Identifying and prioritizing project risks
- Automatically generating and evaluating status reports
- Using current tools such as Claude, ChatGPT, CoPilot, or Gemini
- Responsibly protecting sensitive project data
Course Dates
More options
Seminar content
Structured. Practical. Directly applicable in your project work.
Fundamentals of Artificial Intelligence and Its Applications
- Introduction to Artificial Intelligence: An Overview of the Basic Principles and How AI Works.
- Applications of AI in Project Management: How AI Can Optimize Typical Processes and Tasks.
- Framework Conditions for Use: Data Protection and Compliance When Using AI Tools.
- Responsible Use of AI: Ethical Considerations and the Protection of Sensitive Data.
Clarifying the Assignment and Defining Objectives with AI Support
- Using AI to Gather Project Requirements: How to Identify Precise and Comprehensive Requirements.
- Optimized Goal Setting: AI-powered tools for clearly and measurably defining project goals.
- Task Automation: How AI Tools Take Over Routine Tasks in Goal Setting.
- Dynamic Goal Adjustment: Responding to changing project requirements with the help of AI.
Project Planning and Resource Management
- Use of AI for the efficient planning of activities, resources, and budgets.
- Automated Resource Allocation: How AI Helps You Optimize Team and Material Scheduling.
- Analysis and Forecasting: AI-based predictions regarding resource utilization and project schedules.
- The Limits of AI in the Planning Process and How You Can Overcome Them.
Risk Analysis and Stakeholder Management
- AI-powered risk analysis: Identification and assessment of potential project risks.
- Automated Creation of a Risk Register: How AI Prioritizes and Documents Risks.
- Stakeholder Analysis: AI tools for identifying and analyzing the interests and needs of stakeholders.
Communication Planning and Project Implementation
- Automated communication strategies based on stakeholder data.
- AI support for project implementation (e.g., meeting minutes, emails).
- Improving Team Collaboration: AI-Powered Tools for Optimizing Internal Communication Processes.
- Monitoring and Adjustment: How AI Helps Track Progress in Project Implementation and Make Changes.
Status Tracking and Reporting
- Real-time status reports: Automated reports showing the current project progress.
- Action Plan: AI-based recommendations for optimizing processes and resources based on status data.
- Comparison of plans and progress for better monitoring and adjustments.
- Improving Efficiency Through Automated Reporting: AI Tools for Fast and Accurate Project Reports.
Trust from Businesses
More than 1,200 participants and companies rely on PS Consulting.
Cosima Pleuger
Seminar advice & in-house solutions
Any questions?
I am happy to help you find the right solution for you or your company.
Whether an open seminar, in-house training or individual coaching – I will advise you personally and without obligation.
Seminars to Help You Take Your Next Step
Frequently asked questions
Artificial intelligence can assist you with a wide range of project tasks. These include, for example, administrative tasks, communication and correspondence, and meeting management.
AI can also be put to good use in stakeholder management, risk management, and many other project phases. It is crucial to carefully assess which tasks can be handled more efficiently, more quickly, or with higher quality using AI.
Current AI models are not yet advanced enough to reliably and independently create complete project plans.
However, they can already provide you with a great deal of support during the planning phase. For example, they can make suggestions for the project structure, identify potential activities, highlight dependencies, and assist you in planning actions. You remain responsible for the quality and completeness of the project plan.
There are essentially two options for this:
The first option is to use a closed, self-contained IT environment that operates solely within your own company and does not allow uncontrolled access from outside.
The second option is to anonymize the data before using it. This involves, for example, removing names, specific project details, and other confidential information before using the data in an AI application.
Which option makes sense depends on the specific requirements for data protection, confidentiality, and IT security.
Yes. AI is very well suited for processing project information and generating status reports from it.
For example, you can summarize existing information and then tailor the report to different audiences, such as the project team, management, or a steering committee. This can significantly simplify and speed up the process of creating status reports.
AI can help you better understand challenging stakeholders and develop appropriate strategies for engaging them.
For example, you can consider what interests lie behind a stakeholder’s behavior, what arguments you might use to win them over, and what form of communication would be most effective.
In addition, you can use AI to prepare for or practice difficult conversations. You can simulate various conversation scenarios and try out different reactions and your own possible responses.









