AI+ Agile Project Management Fundamentals™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

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

Location

Course Language
German

Training Solutions
WalkIn®

Digital projects are becoming more complex, and traditional planning is often no longer sufficient. Intelligent systems help agile teams respond more quickly and make more informed decisions.

Key topics

  • AI-powered sprint planning and backlog optimization.
  • Real-time analysis of project data.
  • Early risk detection through machine learning.
  • Increased efficiency through automation.
  • Agile scaling in data-driven environments.

Prerequisites
Interest in modern project methods and a basic understanding of digital processes.

Target Audience
Project managers, Agile coaches, innovation leads, and IT-savvy departments.

Data and speed determine project success. The intelligent combination of AI and agile principles brings clarity to complex projects and strengthens sustainable implementation.

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Course Content
  • Introduction to AI Concepts for Project Managers
  • Synergies Between AI and Agile Methods
  • Case Study: AI-Supported Sprint Planning
  • Hands-on Exercise: Introduction to AI Tools for Sprint Planning and Backlog Grooming
  • Understanding Project Data Types and Sources
  • Data-Driven Decision Making in Agile Processes
  • Case Study: Data-Driven Sprint Retrospectives
  • Hands-on simulation exercise: AI-powered sprint forecasts and metrics analysis
  • Predictive Resource Allocation
  • AI-powered agile metrics and performance monitoring
  • Use Cases: Intelligent Scheduling and Workload Distribution
  • Hands-on exercise: Managing team capacity and task distribution using AI dashboards
  • Fundamentals of Predictive Modeling
  • Forecasting Delays and Resource Bottlenecks
  • Case Studies: Early Detection of Risks in Agile Projects
  • Practical Simulation Exercise: Forecasting Resource Bottlenecks and Schedules
  • Real-time monitoring with AI
  • Intelligent reporting and communication with stakeholders
  • Use Cases: Automated status updates and performance reviews
  • Hands-on exercise: Creating AI-powered reports and visual dashboards
  • Ethical AI in Decision-Making
  • Bias and Risks in Predictive Models
  • Regulatory and Compliance Aspects
  • Practical Exercise: Evaluating AI Results for Fairness and Responsible Use
  • Selecting the Right AI Solutions
  • Change Management and Stakeholder Acceptance
  • Case Study: AI-powered Reporting and Risk Forecasting in Consulting Projects
  • Practical simulation exercise: Tool evaluation and vendor comparison
  • Practical exercise: Measuring AI effectiveness with project analysis platforms
  • Autonomous and self-optimizing projects
  • AI for agile remote and distributed teams
  • Case studies inspired by industry trends
  • Hands-on simulation exercise: Designing an AI-powered agile workflow

Frequently Asked Questions

  • The combination of agile methods and AI demonstrates how projects can be managed more quickly, in a data-driven manner, and efficiently.
  • The topics covered include AI-powered planning, prioritization, risk assessment, and integration into agile frameworks such as Scrum.
  • The tools used include Jira, Trello, Asana, Azure DevOps, and AI tools for forecasting, automation, and analysis.
  • The focus is on realistic scenarios, common project challenges, and practical solutions.
  • Relevant for project managers, product owners, Scrum Masters, and professionals working on digital transformation projects.
  • Improved decision-making, more efficient processes, and a clear competitive advantage in the project environment.
  • A basic understanding of agile working and project management will make it easier to get started and grasp the material.
  • Projects can be managed in a more structured way, risks can be identified early on, and resources can be allocated more effectively.

Do you have any further questions? Please contact us.