AI Practical Series: AI in Project Management—Basics (online)
Implementing AI Step by Step in All Project Phases—From Planning to Management
Review the key principles of project management as needed:
- Refresh your understanding of key concepts, roles, and responsibilities in project management.
- Review the basics of the project scope, objectives, stakeholders, planning, risks, and closure.
Excerpt of possible content:
- Idea generation.
- Opportunities, Limitations, and Risks Associated with the Use of AI in Projects.
- Benchmarking.
- Advanced Prompting and Skills Engineering for project managers.
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- Order clarification.
- KPIs and Goal Setting.
- Environment analysis.
- Risk Analysis and Blind Spots.
- Simulation of Stakeholder Discussions.
- Filling in project templates.
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- Activity and Time Planning.
- Work packages and milestones.
- Resource Allocation and Dependencies.
- Stakeholder Analysis.
- Roles and Interfaces.
- Prioritization in a Multi-Project Environment.
- Roadmaps and backlogs.
- Scenario and Risk Planning.
- Planning Results.
Excerpt of possible content:
- Status reports and management summaries.
- Processing and Documentation.
- Meeting and Workshop Preparation and Follow-up.
- Stakeholder Communication and Emails.
- Log Analysis and Actions.
- Simulating difficult situations.
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- Project Progress
- Decision Templates.
- Quality Control.
- Risk Management (including potential solutions and scenarios).
- Stakeholder Monitoring.
- Action and Escalation Tracking.
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- Feedback Analysis.
- Final Report.
- Lessons Learned Analysis and Retrospective.
- Transfer Planning in Line
- Ensuring Knowledge Transfer.
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- Capture key learnings.
- Share experiences and clarify any open questions.
- Reflect on proven prompts and workflows.
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- Identify AI opportunities in your own project.
- Select appropriate PM tasks for AI deployment.
- Discuss challenges related to its use.
- Determine the next steps for the transfer.
Content and Schedule
The content covers the most important areas of AI application for your day-to-day project work. You can find more details in the descriptions of the individual modules by clicking “More.” The main topics are:
AI Fundamentals and Safe Use
- Applications, Opportunities, and Limitations of AI in Project Management.
- Basics of Prompting, Result Verification, and Data-Sensitive AI Use.
Project Launch and Planning
- Scope definition, objectives, KPIs, and analyses.
- Time, Resource, and Stakeholder Planning.
Implementation and Management
- Communication, documentation, and status reports.
- Project progress, quality, risks, and decisions.
Completion and Transfer
- Feedback, Final Report, and Lessons Learned.
- Reusable resources for your day-to-day project work.
This practical training series focuses not on one-time knowledge transfer, but on application, reflection, and transfer. Over the course of several months, you’ll build your AI expertise step by step and test new approaches directly in your project work. The latest developments are incorporated into the series so that you don’t get stuck with a snapshot of the current state of the field, but can instead contextualize new opportunities for your role as a project manager.
In the inspiration and hands-on sessions, you’ll work on real-world PM tasks and develop immediately actionable outcomes such as prompts, templates, draft communications, analytical approaches, and reusable tools. A workbook serves as a guiding thread throughout the entire series. During the concluding AI Lunch, you’ll reflect on your experiences, clarify any open questions, and solidify key takeaways. During the included 1:1 transfer coaching session, you’ll delve deeper into your individual priorities, questions, and challenges with an experienced expert and apply them to your day-to-day project work.
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 understand how AI can effectively support your project management and realistically assess its opportunities, limitations, and risks. You know how to use AI responsibly and in a way that respects data privacy.
- You can apply AI to typical project management tasks—from defining project scope and planning to monitoring and completion.
- You are able to develop AI-powered deliverables for your project management—from clear prompts to templates and analytical approaches to reusable tools.
- You'll test AI applications in your day-to-day work over the course of 9 months, reflect on your experiences, and further develop your approaches.
- Throughout the duration of the workshop series, you'll stay up to date on relevant AI developments and be able to apply new opportunities directly to your project management.
Methods
A 9-month guided hands-on series covering typical project phases, featuring inspiration sessions, hands-on sessions, a workbook, AI Lunch, and one-on-one transfer coaching. You’ll try out AI step by step on your own project management tasks and develop prompts, templates, and AI workflows that you can use right away.
Tools
Recommended for
project managers the beginning of their PM careers who have some initial practical experience and a basic understanding of project management. This practical series is designed for participants who want to integrate AI into their daily project work in a confident, structured, and practical way. No prior AI experience is required. A basic understanding of project management is required, comparable to the content covered in the “Project Management Basics” seminar (https://www.haufe-akademie.de/8932).
The optional e-learning module helps you brush up on key PM fundamentals in advance, if needed.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
