AI+ Project Management Practitioner™

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Modern projects are influenced by AI, automation, and data-based control. This offering combines proven project management methods with current AI approaches and provides confidence in the use of intelligent tools and decision-making models.

Key topics

  • AI-supported project planning and control.
  • Automation of tasks, prioritization, and reporting.
  • Data-driven forecasting, risk and resource management.
  • Governance, compliance, and transparency in AI projects.
  • Collaboration between humans, tools, and algorithms.

Prerequisite
Basic understanding of project work, processes, and organizational contexts.

Target group
Project managers, product and process managers, business professionals, and specialists with a focus on digital projects and AI applications.

The interplay of methodology, technology, and responsibility strengthens project work in the long term and creates a solid foundation for efficient, AI-supported implementation in dynamic organizations.
 

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course content
  • Introduction to Project Management
  • Project management life cycle
  • Advanced Project Management Tasks
  • Project Management Frameworks
  • Roles and Responsibilities of the Project Manager
  • Introduction to Artificial Intelligence (AI)
  • Introduction to Machine Learning (ML)
  • Neural Networks
  • Applications and trends in AI and ML
  • Case studies on AI and ML projects
  • The importance of data in artificial intelligence
  • Data analysis techniques
  • Applying data insights to project decisions
  • Tools for data visualization and reporting
  • Challenges and best practices
  • AI in risk management – An introduction
  • AI for risk mitigation and response
  • AI for financial and resource risk management
  • AI in risk management: The future scope of application
  • Case study – AI-based project risk management
  • Introduction to project structure planning (Work Breakdown Structure, WBS)
  • AI for creating WBS
  • AI in project scheduling
  • AI for scheduling with limited resources
  • Case studies: AI-based WBS and AI algorithms for project scheduling
  • Introduction to AI in budgeting
  • AI for cost estimation and budget allocation
  • AI for budget optimization
  • The future of AI in project budgeting
  • Case study: AI algorithms for project planning, AI-based model for cost estimation and budget allocation.
  • Introduction to AI in HR planning
  • AI for personnel allocation
  • AI for skill matching and employee performance analysis.
  • The future of AI in personnel planning
  • Case studies: Designing AI-based models for personnel planning.
  • Introduction to stakeholder management and AI.
  • Identifying and categorizing stakeholders with AI.
  • Conflict management with stakeholders using AI.
  • Ethics and future prospects in AI-based stakeholder management.
  • Case studies: AI tools for stakeholder management.
  • Introduction to project monitoring and AI.
  • AI-based tools for monitoring project progress.
  • AI for risk monitoring.
  • Case studies: AI tools for project monitoring.
  • The current state of AI in project management.
  • Ethical considerations regarding AI-based project management.
  • Technical challenges in AI integration.
  • Understanding AI agents
  • How does an AI agent work?
  • Applications and trends of AI agents in project management
  • Key features of AI agents
  • The importance of AI agents in project management
  • Types of AI agents
  • Case study – AI agents for agile project management – Atlassian in action
  • Practical exercise

Frequently asked questions

  • A training course for the professional use of AI in project management—with a focus on planning, control, analysis, and decision support using AI tools.
  • Topics covered include AI-supported planning, resource management, risk assessment, decision-making, and compliance in project environments.
  • Basic knowledge of project management and a fundamental technical understanding are helpful, but not mandatory.
  • The practical use of modern AI solutions such as Copilot, automation tools, analysis platforms, and generative AI applications will be demonstrated.
  • Yes, AI+ Project Management Practitioner™ is a globally active organization with internationally recognized certifications in the field of AI and business transformation.
  • Yes, certification includes a standardized final exam that tests the knowledge acquired and the ability to apply it.
  • AI is fundamentally changing project work—those who build up skills early on can manage processes more efficiently and secure competitive advantages.

Do you have any further questions? Please contact us.