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Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile.
You will learn how to enhance standups, retrospectives, and backlog refinement with AI-powered insights. You will practice using AI responsibly by adopting guardrails for data, ethics, and human oversight. You will also explore how predictive analytics can make risks visible earlier, giving your team more options for action.
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Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile.
You will learn how to enhance standups, retrospectives, and backlog refinement with AI-powered insights. You will practice using AI responsibly by adopting guardrails for data, ethics, and human oversight. You will also explore how predictive analytics can make risks visible earlier, giving your team more options for action.
Read more
Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile.
You will learn how to enhance standups, retrospectives, and backlog refinement with AI-powered insights. You will practice using AI responsibly by adopting guardrails for data, ethics, and human oversight. You will also explore how predictive analytics can make risks visible earlier, giving your team more options for action.
By the end of this course, you will be able to explain how AI fits into Scrum, discuss specific AI use cases in backlog management and sprint planning, and describe how to tailor AI tools to your team’s workflow. You will leave with practical prompts, examples, and methods you can use immediately in your workplace.
Register for this course and see more details by visiting:
OpenCourser.com/course/hvep8y/scrum
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What's inside
Syllabus
Foundations of Scrum with AI
This module builds a foundation by revisiting Agile and Scrum principles and mapping AI directly to Scrum events. You will explore how AI can support standups, backlog refinement, and retrospectives, while ensuring that Scrum values and cadence remain the guardrails.
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Syllabus
Foundations of Scrum with AI
This module builds a foundation by revisiting Agile and Scrum principles and mapping AI directly to Scrum events. You will explore how AI can support standups, backlog refinement, and retrospectives, while ensuring that Scrum values and cadence remain the guardrails.
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Career center
Learners who complete Scrum Certification with AI will develop knowledge and skills
that may be useful to these careers:
Scrum Master
Scrum Master
A Scrum Master facilitates Agile team processes, ensuring adherence to Scrum principles and removing impediments. This Scrum Certification with AI course directly prepares individuals for this role by teaching the integration of artificial intelligence into core Scrum events. You will learn to enhance daily standups, backlog refinement, and retrospectives using AI-powered insights for effort estimation, backlog prioritization, and pattern identification. The course also details establishing ethical guardrails and tailoring AI tools to your team’s workflow. For aspiring Scrum Masters, this specialization offers practical methods to immediately apply AI, significantly boosting team efficiency, improving risk forecasting, and enabling data-informed decision-making within modern Agile environments.
Product Owner
Product Owner
A Product Owner maximizes product value by managing the product backlog and defining user stories. This Scrum Certification with AI course is instrumental for a Product Owner, as it teaches how to leverage artificial intelligence to enhance key responsibilities. You will learn to apply AI-powered insights for backlog prioritization, effort estimation, and refining backlog items effectively. The course details how predictive analytics can make delivery risks visible earlier, enabling more informed decision-making for product roadmap adjustments. Furthermore, understanding the ethical guardrails for AI, as taught, ensures responsible tool adoption. For aspiring Product Owners, this course provides practical methods to use AI for superior backlog management and strategic product planning.
Agile Coach
Agile Coach
An Agile Coach guides multiple teams or organizations in adopting and improving Agile methodologies. The Scrum Certification with AI course is highly relevant for an Agile Coach as it provides expertise in integrating artificial intelligence responsibly into Scrum frameworks. You will gain knowledge on how AI can enhance standups, retrospectives, and backlog refinement, along with understanding its role in forecasting delivery risks and managing uncertainty. The course emphasizes establishing ethical guardrails and personalizing AI prompts, crucial for effective adoption across diverse teams. For those aspiring to be an Agile Coach, this course offers practical insights and methods to evolve Agile practices with cutting-edge AI, fostering continuous improvement and innovation.
Software Development Manager
Software Development Manager
A Software Development Manager leads engineering teams, overseeing development processes and fostering high performance. This Scrum Certification with AI course directly supports a Software Development Manager by teaching how to embed artificial intelligence responsibly within team workflows. You will learn to enhance team standups, sprint planning, and retrospectives with AI-powered insights, using AI to estimate effort, identify blockers, and surface recurring patterns for continuous improvement. The course emphasizes establishing ethical guardrails and tailoring AI tools for team adoption. For this role, the course provides practical methods to optimize delivery, manage technical risks, and cultivate an efficient, AI-augmented development environment while adhering to Agile principles.
Release Train Engineer
Release Train Engineer
A Release Train Engineer facilitates end-to-end value delivery in scaled Agile frameworks, coordinating multiple teams and managing program-level risks. The Scrum Certification with AI course is highly relevant for a Release Train Engineer, focusing on how AI can be applied responsibly in complex, scaled environments. You will learn to use AI to forecast delivery risks, surface crucial dependencies, and manage uncertainty across various teams. The course also teaches how to establish ethical guardrails and personalize AI prompts to ensure widespread adoption as a trusted tool. For those in this role, this course provides practical methods to enhance program planning, risk mitigation, and overall value stream orchestration using advanced AI insights.
Delivery Manager
Delivery Manager
A Delivery Manager ensures the successful, timely, and high-quality delivery of products or services, often overseeing multiple teams and projects. The Scrum Certification with AI course is highly beneficial for a Delivery Manager, as it focuses on enhancing delivery mechanisms through responsible AI integration within Scrum. You will learn to leverage AI for improved sprint planning, backlog management, and risk forecasting, directly contributing to predictable delivery outcomes. The course also covers how AI-powered insights can sharpen standups and retrospectives, fostering continuous process improvement. For individuals in this essential role, this course provides practical methods to optimize team performance, mitigate delivery risks, and ensure efficient, AI-informed orchestration of value delivery.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects, often navigating complex timelines and resources. The Scrum Certification with AI course significantly enhances a Project Manager's capabilities, particularly in Agile environments, by integrating artificial intelligence into project workflows. You will learn to use AI for improved sprint planning, accurate effort estimation, and identifying blockers during daily standups. The course also covers employing predictive analytics to forecast delivery risks, surface dependencies, and manage uncertainty, providing more options for action. For Project Managers seeking to modernize their approach, this course offers practical prompts and methods to leverage AI, fostering greater project predictability, efficiency, and informed decision-making.
Technical Lead
Technical Lead
A Technical Lead guides development teams, contributing to architectural decisions and ensuring technical excellence within projects. The Scrum Certification with AI course is highly pertinent for a Technical Lead, as it teaches the practical application of artificial intelligence in daily team operations. You will learn to apply AI tools to enhance daily standups, assist with effort estimation, and identify critical blockers or dependencies. The course also covers using AI in backlog prioritization and surfacing patterns during retrospectives, directly impacting technical strategy and execution. For Technical Leads, this course offers practical prompts and methods to integrate AI into development processes, driving team efficiency, improving decision-making, and fostering a more adaptive technical environment.
Process Improvement Specialist
Process Improvement Specialist
A Process Improvement Specialist analyzes existing workflows and implements strategies to enhance efficiency, quality, and effectiveness. The Scrum Certification with AI course directly empowers a Process Improvement Specialist by teaching how to integrate artificial intelligence into team processes for optimized outcomes. You will learn to use AI-powered insights to identify recurring patterns in retrospectives, surface blockers in standups, and improve backlog planning, directly targeting areas for refinement. The course emphasizes tailoring AI tools to specific workflows and establishing ethical guardrails for responsible adoption. For those focused on process optimization, this course provides practical methods to leverage AI, fostering continuous improvement and significant efficiency gains within Agile frameworks.
Program Manager
Program Manager
A Program Manager oversees multiple related projects or initiatives, ensuring strategic alignment and overall program success. The Scrum Certification with AI course significantly strengthens a Program Manager’s ability to lead complex initiatives by integrating artificial intelligence into program oversight. You will learn to use AI for forecasting delivery risks across multiple teams, surfacing critical dependencies, and managing overall program uncertainty. The course emphasizes establishing ethical guardrails and personalizing AI tools, which is crucial for fostering consistent, trusted AI adoption throughout a program. For Program Managers, this course offers practical methods to leverage AI, driving greater predictability, efficiency, and informed strategic decision-making across their portfolio of projects.
Business Analyst
Business Analyst
A Business Analyst acts as a crucial bridge between business needs and technical solutions, eliciting and documenting requirements. The Scrum Certification with AI course helps a Business Analyst understand how artificial intelligence can enhance the early stages of product development. You will learn how AI-powered insights can improve backlog refinement and prioritization, directly informing requirements gathering and ensuring alignment with strategic goals. While not directly managing Scrum events, understanding AI's role in surfacing patterns and managing uncertainty, as covered in the course, can significantly sharpen analytical capabilities. For aspiring Business Analysts, this course offers insights into modern, AI-enhanced Agile workflows, enabling more precise requirement definition and strategic contribution.
Change Management Consultant
Change Management Consultant
A Change Management Consultant guides organizations and individuals through transitions to new processes, technologies, and corporate cultures. The Scrum Certification with AI course may be helpful for a Change Management Consultant by providing a detailed understanding of how artificial intelligence is being integrated into core teamwork methodologies. You will learn about applying AI tools within Scrum events, establishing ethical guardrails for responsible adoption, and tailoring AI prompts for team-specific workflows. Comprehending AI's impact on standups, backlog management, and risk forecasting, as taught, is crucial for advising on new work methods. For a Change Management Consultant, this course offers practical specifics on introducing and managing the cultural and operational shifts associated with AI-enhanced Agile practices.
AI Product Manager
AI Product Manager
An AI Product Manager oversees the strategy, development, and lifecycle of artificial intelligence products. The Scrum Certification with AI course may be useful for an AI Product Manager by offering a practical perspective on how AI tools are integrated and utilized within a critical user segment: Agile teams. You will gain insight into specific AI use cases in backlog management and sprint planning, understanding the user experience and needs for AI-powered insights. The course's focus on establishing ethical guardrails and customizing AI tools will inform product design and responsible deployment. For an AI Product Manager, this course provides a valuable, context-rich understanding of AI's application in enhancing team productivity and project delivery.
Data Ethicist
Data Ethicist
A Data Ethicist ensures responsible, ethical AI and data use; this role often requires an advanced degree. The Scrum Certification with AI course may be useful by offering a practical context for applying ethical principles within a development framework. It teaches establishing ethical guardrails for AI tools directly within Scrum events, emphasizing data, human oversight, and responsible adoption. This includes AI use in backlog management, sprint planning, and forecasting delivery risks. Comprehending these AI applications' ethical considerations is key. For a Data Ethicist, this course provides a real-world case study in embedding ethics into agile project workflows, offering insight into practical AI governance.
Solutions Architect
Solutions Architect
A Solutions Architect designs and oversees the implementation of complex technical solutions, ensuring alignment with business objectives. The Scrum Certification with AI course may be useful for a Solutions Architect by illustrating how artificial intelligence is integrated into project delivery and team workflows. You will gain insight into the ethical guardrails for AI, data considerations, and how AI can forecast delivery risks or surface dependencies, all of which can influence architectural decisions. Understanding the practical application of AI in sprint planning and backlog management helps in designing systems that support efficient, AI-enhanced development lifecycles. For a Solutions Architect, this course provides a practical perspective on the operational impact and responsible deployment of AI within a development context.
For more career information including salaries, visit:
OpenCourser.com/course/hvep8y/scrum
Reading list
We haven't picked any books for this reading list yet.
Collection of essays on Scrum and XP by one of the leading experts in agile development. It covers a wide range of topics, from the basics of Scrum to advanced techniques for scaling Scrum to large organizations. It great resource for anyone who wants to learn more about Scrum and XP.
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Concise guide to Scrum. It covers the basics of Scrum, as well as some of the more advanced techniques. It great resource for anyone who wants to learn more about Scrum or for anyone who is preparing for the Scrum Master certification exam.
Quick and easy-to-read guide to Scrum. It covers the basics of Scrum, as well as some of the more advanced techniques. It great resource for anyone who wants to learn more about Scrum or for anyone who is preparing for the Scrum Master certification exam.
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Comprehensive guide to Scrum for beginners. It covers everything from the basics of Scrum to advanced techniques. It great resource for anyone who wants to learn more about Scrum.
Is crucial for Scrum Teams to effectively manage their work. It covers various techniques for estimating and planning in an agile environment, directly applicable to Scrum's sprint planning and release planning. It provides practical methods to address key questions about timelines and cost, deepening the team's ability to forecast and commit.
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Comprehensive guide to user stories. It covers everything from the basics of user stories to advanced techniques for writing effective user stories. It great resource for anyone who wants to learn more about user stories or for anyone who is preparing for the Scrum Master certification exam.
Comprehensive guide to scaling Scrum to large organizations. It covers a wide range of topics, from the basics of scaling Scrum to advanced techniques for scaling Scrum to global organizations.
Comprehensive guide to Scrum and Kanban. It covers everything from the basics of Scrum and Kanban to advanced techniques for using Scrum and Kanban together. It great resource for anyone who wants to learn more about Scrum and Kanban or for anyone who is preparing for the Scrum Master certification exam.
Comprehensive guide to lean software development. It covers a wide range of topics, from the basics of lean software development to advanced techniques for using lean software development in large organizations.
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Novel about a fictional company that is struggling to adopt agile development. The book provides a great overview of agile development and the challenges that organizations face when adopting agile development.
Comprehensive guide to Scrum in French. It covers everything from the basics of Scrum to advanced techniques.
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Authored by the creators of Scrum, this book provides a business-focused perspective on how Scrum can deliver working software in 30-day cycles. It offers insights into the practical application and benefits of Scrum for managers and business stakeholders, highlighting its effectiveness in achieving business agility.
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Written by one of Scrum's co-creators, this book delves into the history and principles behind Scrum, illustrated with real-world examples and case studies. It's an excellent starting point for beginners to grasp the 'why' behind Scrum and gain a broad understanding of its potential. It's often considered a must-read for its insightful narrative.
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Provides a comprehensive and detailed guide to the mechanics of Scrum, explaining the roles, artifacts, and events with clear illustrations. It's a valuable reference for anyone starting out or seeking to deepen their understanding of the framework's elements. It is often used as a textbook and is highly regarded for its practical approach.
Considered a classic in the agile community, this book offers practical advice and strategies for implementing Scrum successfully, addressing common challenges and organizational resistance. It's suitable for both beginners and experienced practitioners looking to deepen their understanding of applying Scrum in real-world scenarios. It provides valuable insights beyond the basic framework.
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Focuses on the crucial role of the Scrum Master, exploring the soft skills and leadership qualities necessary for fostering high-performing teams. It goes beyond the basic process, offering insights and practical guidance for Scrum Masters seeking to excel in their role and deepen their understanding of servant-leadership. It's a valuable resource for those in a Scrum Master role.
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While not solely about Scrum, this book is essential for understanding how to effectively capture and manage requirements in an agile context using user stories, a common practice in Scrum. It provides a comprehensive guide valuable for Product Owners and Development Teams to deepen their understanding of backlog management. It's a practical reference for a key Scrum artifact.
A deep dive into the Product Owner role, this book guides readers through maximizing value with Scrum, including strategy, backlog management, and stakeholder collaboration. It's a must-read for Product Owners seeking to enhance their skills and understanding of their critical accountability within the Scrum framework. It offers practical advice for a key Scrum role.
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Retrospectives are a vital Scrum event for continuous improvement. provides a wealth of practical exercises and guidance for facilitating effective retrospectives that help teams learn and adapt. It's an essential resource for Scrum Masters and teams looking to deepen their inspection and adaptation capabilities.
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Comprehensive guide to Scrum, written by one of its creators. It covers all aspects of Scrum, from the basics to advanced techniques. It must-read for anyone who wants to learn more about Scrum.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hvep8y/scrum
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Effort
The Estimated Workload is 3 weeks of study, 3-4 hours per week.
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
LearnQuest Network
Session
November 10, 2025
- December 8, 2025
Language
English
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