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100% fundable

AI+ Project Management Practitioner™

AI is changing how projects are planned, managed, and delivered. In this training, you’ll learn to combine established methods with artificial intelligence – for structured decisions and reliable results.

Key topics

  • Planning and managing projects using AI tools.
  • Automating tasks, reporting, and prioritisation.
  • Keeping forecasts and resources under control with data.
  • Ensuring transparency, governance, and compliance in AI projects.
  • Building efficiency through meaningful collaboration between teams and algorithms.

Prerequisite
Anyone with some experience in project work and a familiarity with digital processes can dive straight in.

Target group
Ideal for anyone who leads or supports projects and wants to use AI strategically to deliver better outcomes – whether from a product, process, or business background.

After the training, you’ll have the tools to apply your AI expertise where it counts – and lead projects confidently, even in demanding environments.
 

course content
  • What is project management – and how does it work?
  • Project phases and life cycles
  • Tasks and responsibilities of experienced project managers
  • Common frameworks and methodologies at a glance
  • Roles, accountabilities, and success factors in project leadership
  • What is artificial intelligence – key terms and concepts
  • Understanding and contextualising machine learning
  • How neural networks are structured and how they operate
  • Current applications and developments in AI and ML
  • Real-world examples from actual AI projects
  • The role data plays in AI systems
  • Methods for analysing and interpreting project data
  • How data insights feed into project decisions
  • Visualisation tools and reporting solutions in practice
  • Common pitfalls and proven approaches
  • How AI makes risks in projects visible
  • Strategies for reducing risk and responding quickly with AI
  • Keeping financial and resource risks under control through AI
  • Outlook: where AI in risk management is heading
  • Case study: AI-driven risk management in practice
  • What is a Work Breakdown Structure (WBS) – the basics
  • How AI supports the creation of structured project plans
  • Planning and meeting deadlines with AI-assisted methods
  • Identifying resource bottlenecks and factoring them into scheduling
  • Practical examples: AI-generated WBS and scheduling algorithms
  • Why AI is changing how project budgets are planned
  • Estimating costs precisely and allocating budgets strategically with AI
  • Budget optimisation through intelligent algorithms
  • Outlook: how AI-based budget management continues to evolve
  • Case study: AI models for planning, cost estimation, and budget allocation
  • How AI supports workforce planning in projects
  • Assigning teams purposefully and distributing resources efficiently with AI
  • Matching skills and analysing team performance
  • Where AI-driven workforce planning is heading
  • Practical example: developing AI-based planning models
  • Stakeholder management and the contribution of AI
  • Who are the right stakeholders – AI helps with identification and categorisation
  • Resolving stakeholder conflicts with AI assistance
  • Ethical considerations and future prospects in AI-based stakeholder management
  • Practical examples: AI tools in stakeholder engagement
  • What AI can achieve in project controlling
  • Tracking progress and identifying deviations with AI tools
  • Keeping risks in view in real time through intelligent systems
  • Case studies: practical use of AI in project monitoring
  • Where AI in project management stands today
  • Responsible use of AI – ethical guidelines for PMs
  • Technical hurdles when integrating AI into existing workflows
  • What AI agents are and how they differ from conventional tools
  • How AI agents work – mechanisms and architecture
  • Applications and trends in the project management context
  • What sets successful AI agents apart
  • Why AI agents are changing project management
  • Different types of AI agents compared
  • Case study: AI agents for agile project delivery with Atlassian
  • Hands-on exercise: applying it in your own project work

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.