Generative AI Course for Scrum Masters - Classroom
795,00 EUR
- 16 hours
This immersive program equips Scrum Masters with the skills to integrate Generative AI into every stage of the Agile lifecycle—from sprint planning and backlog refinement to retrospectives and stakeholder communication. Through hands-on exercises, real-world projects, and expert-led sessions, you’ll learn how to apply AI tools like ChatGPT to solve everyday Agile challenges and improve team efficiency.
Key Features
Language
Course material in English
Level
Beginner - intermediate level
16 Hours of Instructor-Led Training
20+ hours recommended study time
Hands-On Experience with Latest AI Tools
Practical AI Applications in Agile Management
5 Real-World Projects Curated for Scrum Masters
200 AI Prompts for Daily Scrum Master and Agile Coach Activities
Earn 16 PDUs and 16 SEUs
Program completion certification included
Ask for date confirmation!
Program completion certification included
Learning Outcomes
At the end of this program, you will be able to:
Enhance Scrum with AI
Use AI-driven insights to improve Agile processes and team alignment
Boost Team Performance
Leverage AI tools to strengthen collaboration and optimize productivity
Integrate AI with Agile Tools
Automate workflows and streamline tasks for greater efficiency
Apply AI in Agile Leadership
Use Gen AI for risk management, conflict resolution, and stakeholder engagement
Promote Ethical AI Practices
Ensure responsible, fair, and transparent use of AI in Agile environments
Build an Innovation-Driven Community
Connect with forward-thinking Scrum Masters to share knowledge and best practices
Course timeline
Leveraging Gen AI for Advanced Scrum Master Roles
Lesson 1
- Applying AI to solve complex Agile challenges
- Integrating AI into Agile coaching and mentoring
- Driving Agile transformation initiatives with AI support
Enhancing Agile Release Quality with AI
Lesson 2
- Measuring and improving release quality using AI
- Strengthening testing strategies with AI-driven insights
- Identifying and mitigating quality risks proactively
Optimizing Scrum Team Performance with AI
Lesson 3
- Analyzing team dynamics and improving collaboration
- Enabling self-organization and team empowerment with AI
- Supporting conflict resolution and facilitation
- Breaking down OKRs into actionable tasks using AI
AI for Scrum Ceremonies & Agile Workflows
Lesson 4
- Enhancing sprint planning with AI-driven insights
- Automating daily stand-ups, reviews, and retrospectives
- Streamlining backlog refinement and prioritization
- Improving workflow efficiency across the Agile lifecycle
AI-Powered Stakeholder Management
Lesson 5
- Automating stakeholder communication and reporting
- Using AI for feedback and sentiment analysis
- Improving transparency and alignment across teams
Predictive Analytics & Decision-Making
Lesson 6
- Using AI to forecast team performance and delivery outcomes
- Identifying risks and dependencies early
- Leveraging data for smarter, faster decision-making
AI Tools for Scrum Masters
Lesson 7
- Hands-on use of tools like ChatGPT and Agile platforms
- Applying AI across backlog management and sprint execution
- Building prompt engineering skills for daily Scrum activities
Scaling Agile with AI
Lesson 8
- Applying AI across multiple teams and Agile Release Trains
- Driving cross-team alignment and coordination
- Supporting enterprise-level Agile transformation
Continuous Improvement with AI
Lesson 9
- Using AI insights to drive retrospectives and improvements
- Monitoring KPIs and team performance metrics
- Embedding a culture of continuous learning and innovation
Ethical AI & Future of Agile Leadership
Lesson 10
- Ensuring responsible and ethical use of AI
- Understanding risks such as bias and data privacy
- Building an AI-first mindset for future-ready Scrum leadership
Who Should Enroll in this Program?
Scrum Masters looking to improve team facilitation, performance, and delivery using AI
Agile Coaches aiming to scale Agile practices and drive AI-enabled transformation
Project Managers seeking to integrate AI into Agile project workflows
Product Owners / Product Managers who want to optimize backlog management and decision-making with AI
Prerequisites
- Basic knowledge of Agile and Scrum frameworks
- Foundational understanding of AI concepts
- Familiarity with common Agile tools and technologies
- Experience in a Scrum Master role is beneficial
- Understanding of Agile metrics and reporting practices
- Strong interest in using AI to enhance team performance
Statements
Licensing and accreditation
The course is offered according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
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