AI in Project Management - Intensive​

Day 1 – Using AI in Everyday Project Work

AI in Project Management – Applications and How It Works

• The Role of AI, GenAI, and LLMs in Project Management and Day-to-Day Project Work.
• Typical applications of AI throughout the project lifecycle.
• An overview of the current AI landscape and tools (e.g., what is a prompt vs. a skill, what are agents, etc.).
• Opportunities, limitations, and risks (e.g., quality, security, data protection, etc.) associated with the use of AI in the project.

Advanced Prompting and Skills Engineering for project managers

• Advanced Prompting Techniques in a Project Context.
• Skills Engineering: Structuring AI Systems for Project Management Tasks.
• Integrate context, roles, rules, and project knowledge into prompts, with clean data management for humans and AI as the foundation.

Project Launch and Project Planning with AI  

• Develop the project scope, objectives, and framework using AI.
• Create a project structure plan, task lists, and a schedule using AI.
• Prepare documentation and project materials using AI.

Day 2 – Collaboration with AI in the“
” Project: Project Communication, Coordination, and Stakeholder Management with AI

• Automate status reports and management summaries.
• Organizing stakeholder communications and emails.
• Prepare meetings, create agendas, and summarize minutes.

Risk Management and Project Management with AI

• Identify and assess project risks.
• Develop solution options and scenarios.
• Create decision-making documents and management reports.

AI Workflows and Automation in Project Management

• Project Tracking with AI.
• Develop your own AI skills for typical project management tasks.
• Develop workflows for reporting, communication, and planning.
• Application to the participants' own projects and use cases.

An outlook on future trends and potential in AI and its impact on project management.