AI in Project Management – A Brief Overview
Optimally Supporting Day-to-Day Project Work with AI Tools
4.5
Contents
Basics: How Do GenAI and LLM Tools Like ChatGPT, Copilot, Claude, and Others Work?
- An Introduction to LLM Tools and an Overview of Key Terms in the Field of AI.
- Current Features of OpenAI's Language Models: Discover the differences and stages of development among the models.
- Prompt Engineering: Learn how to make the most of LLM tools like ChatGPT, Copilot, Claude, and others to suit your needs.
Practical Applications of LLM Tools in Project Management
- Project Idea: Generating project proposals by organizing information and developing suggestions for project objectives.
- Communication and Coordination: Use of LLM tools to improve internal and external project communication.
- Risk Management: Using LLM tools to identify and assess project risks.
- Document Creation and Management: Automating the creation of project reports and documents.
- Stakeholder Management: Use of LLM tools to analyze and manage stakeholder interests.
An Overview of Other AI Tools and Next Steps
- Image Generation: How AI tools (e.g., DALL-E) can create images based on descriptions.
- Bing Chat: Another AI tool and its practical applications.
- Ways to integrate LLM tools into existing systems and tools via API.
Challenges and Limitations in the Use of GenAI and LLM Tools Such as ChatGPT, Copilot, Claude, and Others in Project Management
- Security Issues: A Discussion of Security Concerns Related to the Use of AI.
- Data Protection: Discussion on data protection in the context of AI applications.
- Copyright: Understanding copyright issues related to AI-generated content.
Outlook on Future Developments in the Field of AI
- Gain insights into the future trends and potential of AI and its impact on project management.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- You'll gain an in-depth understanding of GenAI and LLM tools such as ChatGPT, Copilot, Claude, and others, as well as the underlying, state-of-the-art language models.
- You'll learn about various use cases and solutions for LLM tools in project management.
- You can implement your first use cases and apply them successfully.
- You're familiar with the challenges and limitations of using LLM tools in project management.
- You'll learn about the benefits of other AI models and the direction in which future developments are heading.
After attending this seminar, you will receive a confirmation of 7.00 PDUs.
Methods
The online training is designed to be interactive. It consists of instructor-led sessions, live demos, exercises, and best-practice examples. You’ll learn how to use LLM tools such as ChatGPT, Copilot, Claude, and others, and apply what you’ve learned directly in hands-on exercises. Most exercises take place directly in LLM tools such as ChatGPT, Copilot, Claude, and others within your browser. No additional software is required—you’ll just need an account with ChatGPT, for example, for the hands-on portion.
Tool
Recommended for
This training is designed for anyone who wants to use AI in project management. It is intended for both aspiring and experienced project managers (regardless of the project management methodology they use), subject matter experts, executives, and PMOs. In short: all employees across all industries who are involved in projects.
Please note:
In principle, you can also take part in the training event without your own Open.ai account or Chat GPT account. If you decide to create your own ChatGPT account (preferably before the start of the seminar) in order to work practically with ChatGPT during the training event , this is your own responsibility and you must accept the terms of use of the service(https://openai.com/policies/terms-of-use). If you use business e-mail addresses, please discuss this in advance with your data protection officer. We recommend that you do not enter any personal data in ChatGPT.
PDUs: 7.00
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Further recommendations for “AI in Project Management – Compact”
Ratings and feedback from our participants
Start dates and details
Thursday, 16.07.2026
09:00 am - 5:00 pm
Monday, 24.08.2026
09:00 am - 5:00 pm
Thursday, 22.10.2026
09:00 am - 5:00 pm
Tuesday, 24.11.2026
09:00 am - 5:00 pm
Wednesday, 03.02.2027
09:00 am - 5:00 pm
Wednesday, 24.03.2027
09:00 am - 5:00 pm
Training is guaranteed to take placeYou might also be interested in:
FAQ
Artificial intelligence is particularly useful in project management when large amounts of information need to be processed, structured, or communicated. This includes, for example, creating status reports, preparing presentations, analyzing risks, or drafting stakeholder messages. In training , you training how exactly these use cases can be implemented with AI tools such as ChatGPT and how you can apply them directly to your own projects, regardless of whether you work in a classic, agile, or hybrid manner.
In everyday project work, a lot of time is lost on recurring tasks such as documentation, coordination, and summaries. AI can speed up these tasks by preparing and structuring content or providing suggestions. This training you in a practical way how to use AI in a targeted manner to reduce administrative effort and gain more time for control, decision-making, and leadership in your project.
The quality of AI results depends heavily on how precisely and structurally you formulate your queries. Prompt engineering is therefore a key skill for anyone who wants to use AI in project management. In training , you training how to structure prompts in such a way that you obtain usable results for typical project situations, for example, when requirements are unclear, when assessing risks, or when communicating with stakeholders.
AI can help to systematically identify, structure, and prioritize risks by revealing correlations and highlighting potential impacts. In training , you training how to use AI effectively as a decision-making aid without relinquishing responsibility. You will learn to critically evaluate AI results and incorporate them into your project decisions as an additional perspective.
The use of AI also raises questions about data protection, confidentiality, and the quality of results. The training specifically training these aspects and shows you where the limits of AI lie and how to use it responsibly in a project context. You will learn which tasks are suitable for AI, which are not, and how to sensibly integrate AI outputs into your existing project processes.
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