AI+ Agile Project Management Fundamentals™
Projects are running in increasingly complex, data-rich environments. Those who use AI intentionally can guide agile teams more effectively, catch risks earlier, and make better-informed decisions.
Key topics
- Plan and manage sprints and backlogs more effectively with AI.
- Use up-to-date project data to make informed decisions.
- Identify risks earlier with the help of machine learning.
- Make project tasks more efficient through automation.
- Agile work methods for data-driven project environments.
Prerequisites
An interest in modern forms of project management and a basic understanding of digital workflows.
Target Audience
Project managers, Agile Coaches, innovation leads, and professionals engaged in digital transformation.
AI and agile principles complement each other: together, they bring greater clarity, stronger decision-making, and more sustainable project outcomes.
- AI concepts explained in practical terms for project managers
- How AI and agile methods reinforce each other
- Application example: Sprint planning with AI support
- Exercise: Using AI tools to plan sprints and manage the backlog
- Understanding project data: types, sources, and relevance
- Making data-driven decisions in agile processes
- Application example: Using sprint data in retrospectives
Exercise: Evaluating AI-based forecasts and sprint metrics
- Planning resources proactively and intelligently
- Monitoring and steering agile KPIs with AI
- Application examples: Smart scheduling and workload distribution
- Exercise: Managing team capacity and tasks with AI dashboards
- Foundations of predictive modeling for projects
- Identifying delays and bottlenecks before they happen
- Case examples: Risk detection in agile projects
- Simulation: Forecasting resource gaps and project timelines
- Tracking projects in real time with AI tools
- Clear stakeholder communication through intelligent reporting
- Application examples: Automated status updates and sprint summaries
- Exercise: Building AI-powered dashboards and progress reports
- Making responsible decisions with AI in project contexts
- Recognizing and reducing bias in predictive models
- Navigating regulatory requirements and compliance frameworks
- Exercise: Assessing AI outputs for fairness and accountability
- Criteria for choosing the right AI solutions for your team
- Leading change and bringing stakeholders on board
- Case example: AI-driven reporting and risk forecasting in real projects
- Simulation: Comparing and evaluating AI vendors and tool options
- Exercise: Measuring AI impact with project performance metrics
- Self-directing and continuously improving project systems
- Using AI to enhance collaboration among agile, distributed teams
- Real-world examples drawn from current industry developments
- Simulation: Designing and prototyping an AI-enhanced agile workflow
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.