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Scrum dopo l'IA: cosa resta, cosa cambia, cosa scompare

Scrum dopo l'IA: cosa resta, cosa cambia, cosa scompare

Dr. Amar Massoud (Italiano)

Looking for a free Scrum course that actually addresses the AI revolution? Scrum dopo l'IA: cosa resta, cosa cambia, cosa scompare, taught by Dr. Amar Massoud, is a cutting-edge Udemy course designed for the modern era. Updated August 2024, this training provides a strategic roadmap for professionals wanting to learn Scrum online while integrating autonomous agents and AI-driven development into their existing workflows. This course is specifically valuable because it moves beyond simple AI prompts, offering a structural redesign of Agile ceremonies to ensure that human decision-making remains central even as AI handles the bulk of execution.

What You'll Learn

  • Classify every existing Scrum practice within your team using a repeatable four-question test to determine if you should Keep, Adapt, Eliminate, or Add the process.
  • Distinguish between the actual prescriptions of the official Scrum Guide and the organizational habits your company has added over time.
  • Redesign core Agile ceremonies, including Sprint Planning, Daily Scrum, Refinement, Sprint Review, and Retrospectives, to move toward a "AI prepares, people decide" model.
  • Select from seven distinct backlog item formats to avoid the common trap of forcing every requirement into a traditional user story.
  • Create an AI-aware Definition of Done (DoD) that incorporates critical checks for security, provenance, AI review, and mandatory human approval.
  • Build a comprehensive responsibility matrix that clearly assigns delivery tasks to a human person, an AI agent, or a shared boundary.
  • Implement a governance checklist and an escalation policy for AI agents that satisfies the strict requirements of corporate auditors.
  • Analyze the impact of AI-generated pull requests on Sprint capacity, specifically addressing why AI-driven code often waits five times longer for human review.

Course Details

  • Instructor: Dr. Amar Massoud (Italiano)
  • Level: Intermediate to Advanced
  • Language: Italian (it-IT)
  • Certificate: Yes, upon completion
  • Includes: Lifetime access, mobile-friendly content, and access to practical artifacts
  • Category: Business / Agile Management

What This Course Covers

Evaluating Scrum in the Age of AI

  • Application of the "Keep, Adapt, Eliminate, Add" framework for team practices
  • Execution of the repeatable four-question test to identify ritualistic vs. valuable meetings
  • Analysis of the gap between the Scrum Guide and real-world organizational implementation
  • Identification of "zombie rituals" that no longer provide value in an AI-driven environment

Redesigning Agile Ceremonies

  • Modernizing Sprint Planning to leverage AI preparation for human decision-making
  • Transforming the Daily Scrum format to focus on blockers and strategy rather than status updates
  • Optimizing Backlog Refinement using AI-native formats for better agent comprehension
  • Restructuring Sprint Reviews and Retrospectives to handle tripled output volumes

Advanced Backlog Management

  • Exploration of seven alternative formats for backlog items beyond the user story
  • Techniques for writing a "Native AI Backlog" that autonomous agents can act upon
  • Understanding why "user stories," "story points," and "velocity" are not in the official Scrum Guide
  • Strategies for maintaining product vision when execution speed is no longer a human bottleneck

AI Governance and Quality Control

  • Drafting an AI-aware Definition of Done (DoD) focusing on provenance and safety
  • Establishing a governance checklist to answer critical auditor questions regarding AI code
  • Creating escalation policies for when autonomous agents fail or produce hallucinations
  • Implementing human-in-the-loop approval processes for high-risk delivery tasks

Resource and Capacity Planning

  • Building a responsibility matrix to divide work between humans and AI agents
  • Analyzing the "Review Bottleneck" where AI speed creates a backlog of pending pull requests
  • Measuring the true capacity of a Sprint when code generation is nearly instantaneous
  • Utilizing a continuous case study of a 1,400-person healthcare software company to apply these concepts

Who Should Take This Course

  • Scrum Masters and Agile Coaches who feel their current ceremonies have become empty rituals and need to inject new value.
  • Product Owners who spend an excessive amount of time on backlog administration rather than high-level product strategy.
  • Engineering Managers and Tech Leads guiding teams that have already integrated AI programming agents like GitHub Copilot or Claude.
  • Delivery Managers and PMO Leads responsible for governing AI-generated work and preparing for external or internal audits.
  • CTOs and Product Executives deciding the future operational model of their engineering departments in a post-AI landscape.

Prerequisites

  • Foundational Knowledge of Scrum: A basic understanding of the Scrum framework and its roles is recommended.
  • Professional Experience: This course is best suited for those currently working in software development or product management environments.
  • No prior AI experience needed: While the course focuses on AI, it teaches you how to manage the process of AI, not how to code the AI itself.

Why Enroll in This Course

Most tutorials on AI and Agile simply teach you how to perform the same old ceremonies slightly faster. This course is different because it asks a fundamental question: what happens to Scrum when the bottleneck is no longer human execution? By utilizing a free coupon for a limited time, you can access this 100% off training to learn how to eliminate waste and add necessary governance. It is an essential investment for anyone who wants to move from "doing" Agile to "being" Agile in a world where AI agents can write code and documentation in seconds.

Course Highlights

  • Evidence-Based Curriculum: Based on real data from DORA 2025, Sonar's State of Code 2026, and LinearB's analysis of 8.1 million pull requests.
  • Practical Artifact Creation: Students build eight ready-to-use assets, including a responsibility matrix and an AI-aware DoD.
  • Focus on Elimination: Unlike most courses, this one explicitly teaches you what to stop doing to increase efficiency.
  • Real-World Case Study: Every concept is applied to a large-scale healthcare software company scenario, providing practical context.
  • Demonstration-Led Learning: Includes real demonstrations of AI outputs (and their failures) to highlight the importance of human review.
  • Self-Paced Learning: Enjoy lifetime access to the materials, allowing you to implement changes in your team gradually.

Frequently Asked Questions

Q: Is this course really free? A: Yes, the course is available for free when you use a valid limited-time coupon. This allows professionals to upgrade their skills in AI-driven management without any financial commitment.

Q: What will I learn in this Scrum and AI course? A: You will learn how to redesign your Scrum ceremonies to fit an AI-powered workflow. Instead of just doing things faster, you will learn how to classify which practices to keep or eliminate and how to govern AI-generated code to ensure security and quality.

Q: Do I get a certificate after completing this course? A: Yes, upon completing all the lessons and requirements, you will receive a certificate of completion from Udemy. This can be a valuable addition to your professional profile as an Agile leader.

Q: Is this course suitable for beginners? A: This course is designed for those who already have a basic understanding of Scrum. It is more of an "advanced evolution" course than a "beginner's guide," targeting those who have the authority or ambition to change how their teams work.

Q: How long do I have to enroll for free? A: Free coupons are typically available for a very limited time and have a maximum number of redemptions. It is recommended to enroll as soon as possible to secure your lifetime access before the offer expires.

Final Thoughts

Scrum dopo l'IA: cosa resta, cosa cambia, cosa scompare is an indispensable guide for any Agile practitioner facing the disruption of generative AI. By focusing on the intersection of human decision-making and machine execution, Dr. Amar Massoud provides a pragmatic framework for the future of software delivery. If you are ready to evolve your leadership style and optimize your team's output, start your learning journey with this course today.