
Scrum nach der KI: Was bleibt, was sich ändert, was wegfällt
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Master AI-Driven Agile: Scrum nach der KI Course Review
Looking for a comprehensive and free Scrum nach der KI course to modernize your workflow? Master the evolution of Agile with the "Scrum nach der KI: Was bleibt, was sich ändert, was wegfällt" Udemy course led by expert instructor Standarity German. Updated for 2024, this training allows you to learn AI-native Scrum online, ensuring your team remains productive and efficient when AI agents begin handling the bulk of software production. This specialized Udemy course is an essential resource for professionals seeking a certification-ready path to transition from traditional, hollow rituals to a streamlined, AI-enhanced delivery model.
What You'll Learn
- Analyze every existing Scrum practice within your team using a repeatable four-question test to determine if it should be kept, adapted, deleted, or supplemented.
- Distinguish between the mandatory requirements of the official Scrum Guide and the unnecessary organizational overhead your company has added over time.
- Redesign core events including Sprint Planning, Daily Scrums, Refinement, Reviews, and Retrospectives to ensure AI prepares the data while humans make the final decisions.
- Implement seven distinct formats for backlog entries, moving beyond the limitation of forcing every single requirement into a traditional User Story.
- Create an AI-aware Definition of Done (DoD) that specifically addresses security, provenance, automated review, and essential human sign-off.
- Develop a comprehensive Human-AI responsibility matrix to clearly assign delivery tasks to humans, AI agents, or shared boundaries.
- Design a robust agent escalation policy and a governance checklist capable of satisfying the strict requirements of internal and external auditors.
- Evaluate the impact of AI-generated Pull Requests on sprint capacity and understand why AI output can lead to longer review wait times.
Course Details
- Instructor: Standarity German
- Language: German (de-DE)
- Level: Intermediate/Advanced
- Certificate: Yes, upon completion
- Includes: Lifetime access, mobile-friendly content, on-demand video lectures
What This Course Covers
The AI-Agile Framework
- The "Keep, Adapt, Delete, Add" framework for evaluating team rituals
- Identifying "Zombie Rituals" that no longer provide value in an AI era
- Using measured evidence from DORA 2025 and State of Code 2026
- Analyzing the impact of autonomous coding agents on team velocity
Redefining Scrum Ceremonies
- Modernizing Sprint Planning for AI-augmented capacity
- Transforming the Daily Scrum into a high-value decision meeting
- Optimizing the Sprint Review to catch plausible but incorrect AI results
- Adapting Retrospectives to focus on AI-human collaboration bottlenecks
AI-Native Backlog Management
- Moving beyond the User Story: Seven alternative entry formats
- Structuring backlogs so AI agents can build from them directly
- Reducing the time Product Owners spend on administrative backlog grooming
- Balancing human strategic intent with AI-generated technical specifications
Governance and Quality Assurance
- Building a Human-AI responsibility matrix for clear accountability
- Drafting a "Definition of Done" tailored for AI-generated code
- Creating escalation paths for when AI agents fail or hallucinate
- Developing audit-proof checklists for AI-driven software delivery
Performance and Capacity Planning
- Understanding the "PR Bottleneck": Why AI code waits longer for review
- Recalculating sprint capacity when output triples but review speed stays constant
- Analyzing LinearB data on millions of Pull Requests to optimize flow
- Managing the gap between AI production speed and human validation speed
Who Should Take This Course
- Scrum Masters and Agile Coaches who feel their current ceremonies have become hollow rituals and need a fresh, AI-driven approach.
- Product Owners who are spending too much time on manual backlog administration and want to shift their focus back to strategic product decisions.
- Engineering Managers and Tech Leads whose development teams are already integrating coding agents and need a framework to manage the output.
- Delivery Leads and PMO Officers who must implement governance and control mechanisms for AI-generated work to satisfy corporate audits.
- CTOs and Product Executives responsible for deciding the future operational model of their software engineering departments.
Prerequisites
- No prior AI experience is needed — this course is designed to guide you through the transition.
- A solid understanding of the basic Scrum framework is recommended to understand what is being changed.
- The authority or desire to modify how a team actually works is essential, as this is not a course for simple prompt engineering.
Why Enroll in This Course
The landscape of software development is shifting rapidly, and traditional Scrum is often too slow for the speed of AI agents. This course is worth your time because it doesn't just teach you how to use AI to do Scrum faster; it teaches you how to rethink Scrum entirely. By utilizing a free coupon for a limited time, you can access this high-level strategic training at 100% off. This is a rare opportunity to move from "opinion-based" Agile to "evidence-based" AI-Agile using real data from DORA and LinearB, ensuring your team doesn't just produce more code, but produces the right code efficiently.
Course Highlights
- Evidence-Based Methodology: Every recommendation is backed by data from DORA 2025 and Sonar's State of Code 2026.
- Practical Deliverables: You don't just watch videos; you build eight actual artifacts, including a responsibility matrix and a governance checklist.
- Real-World Case Study: All concepts are applied to a healthcare software company with 1,400 employees, providing a realistic enterprise context.
- Focus on Elimination: Unlike other courses, this specifically teaches you what practices to stop doing to remove waste.
- Live Demonstrations: Includes practical demos showing how to identify and reject "plausible but wrong" AI results during reviews.
- Self-Paced Learning: Enjoy lifetime access to all materials, allowing you to implement changes in your organization at your own speed.
Frequently Asked Questions
Q: Is this course really free? A: Yes, this course is available for free when you use a valid limited-time coupon code. Once you enroll via the coupon, you gain full lifetime access to all the video content and downloadable materials.
Q: What will I learn in this AI-native Scrum course? A: You will learn how to adapt the Scrum framework for a world where AI agents write code and documentation. The focus is on redesigning ceremonies, creating AI-aware quality standards (DoD), and establishing governance to ensure AI output is safe and audited.
Q: Do I get a certificate after completing this course? A: Yes, upon successful completion of all the course modules, Udemy provides a certificate of completion. This can be added to your professional portfolio or LinkedIn profile to showcase your expertise in AI-Agile transformation.
Q: Is this course suitable for beginners? A: While no AI knowledge is required, this course is geared toward those who already understand the basics of Scrum. It is designed for professionals (Scrum Masters, POs, Leads) who want to advance their practice rather than those who have never heard of Agile.
Q: How long do I have to enroll for free? A: The free coupons are typically available for a very limited time and for a specific number of redemptions. It is recommended to enroll as soon as possible to secure your spot and lifetime access before the offer expires.
Final Thoughts
If you are a leader in the software space, "Scrum nach der KI: Was bleibt, was sich ändert, was wegfällt" is an indispensable guide for the modern era. This course provides the exact tools needed to evolve the Scrum nach der KI framework from a set of rituals into a high-performance engine. Start your journey toward AI-native agility today and ensure your team is prepared for the future of software production.
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