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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.

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.

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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Scrum Certification with AI.
Short but powerful manifesto that outlines the core principles of agile development. It is written by the authors of the Agile Manifesto, a group of software development experts who came together to define the principles of agile development.
Classic text on project management that provides a comprehensive overview of the field. It great resource for anyone who wants to learn about project management or improve their skills.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Comprehensive guide for Product Owners working with Scrum. It delves into practical techniques for managing the Product Backlog, including envisioning the product, grooming the backlog, and planning releases. It's highly relevant for those in a Product Owner role or aspiring to be one, offering depth beyond the basic Scrum framework.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Presents a structured approach to continuous product discovery, a key activity that feeds the product backlog with validated learning. It provides practical habits and techniques for continuously interviewing customers and analyzing data to inform backlog decisions. This is highly relevant for contemporary backlog management practices focused on value delivery.
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.
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.
A definitive guide to financial risk management, this handbook provides in-depth analysis of methods for measuring and managing risk in financial institutions. It covers various types of financial risk and crucial reference for professionals and advanced students in finance.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
This influential book challenges conventional notions of risk and probability by focusing on the impact of rare and unpredictable events ("black swans"). It argues that these events have a disproportionate impact on the world and that we are often ill-equipped to deal with them. It's a provocative read that encourages a different way of thinking about risk and uncertainty.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Practical guide to agile project management that is full of tips and advice. It great resource for anyone who wants to learn how to use agile methods to improve their project management skills.
While not solely about backlog management, this book is essential for understanding one of the primary units of work in many backlogs: user stories. It provides practical guidance on writing effective user stories, which is fundamental to building and refining a valuable backlog. valuable reference for anyone involved in defining and detailing backlog items.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
A significant aspect of Sprint Planning involves estimating and planning the work for the upcoming Sprint. dives deep into practical techniques for agile estimating and planning, offering valuable guidance for Product Owners and Scrum Masters. It covers topics essential for effective Sprint Planning, such as user stories and iteration planning.
Practical guide to project management that is full of insights and advice. It great resource for anyone who wants to learn how to manage projects more effectively.
Comprehensive guide to project management that provides answers to common questions. It great resource for anyone who wants to learn more about project management or solve specific problems.
Provides a foundational understanding of risk management and insurance principles, making it ideal for those new to the topic or seeking a broad overview. It covers basic concepts, traditional insurance, and introductory enterprise risk management, serving as a valuable textbook for undergraduate programs and a solid starting point for professionals.
Addresses the common problem of organizations focusing on output rather than outcomes. It emphasizes the importance of effective product management in delivering real customer and business value, which directly impacts how the product backlog should be managed and prioritized. It's a valuable read for understanding the strategic importance of a well-managed backlog.
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.
Focused specifically on operational risk in the financial services industry, this book provides a detailed guide to managing this critical area. It covers frameworks, techniques, and best practices for identifying, assessing, and mitigating operational risks. It's essential for professionals working in risk management within banks and financial institutions.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
This textbook provides a comprehensive treatment of financial risk management, covering market, credit, and operational risks within financial institutions. It's widely used in undergraduate and graduate finance programs and solid resource for understanding the principles and practices of financial risk management.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Aligned with international standards like ISO 31000 and the COSO ERM Framework, this book offers a comprehensive introduction to enterprise risk management. It covers identification, analysis, and treatment of various risks, including emerging trends. It's suitable for students and risk professionals seeking a thorough grounding in ERM principles and practices.
Cornerstone for Scrum Masters and agile coaches looking to develop their coaching skills. It provides frameworks and techniques for guiding teams towards self-organization and high performance, crucial aspects of a mature Scrum team. It complements the mechanical understanding of Scrum with essential interpersonal skills.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Offers a critical look at common risk management practices and argues for more quantitative approaches. It challenges conventional wisdom and provides insights into improving risk assessment and decision-making. It's valuable for both students and professionals looking to refine their risk management methodologies.
Provides real-world examples and case studies of how organizations have implemented enterprise risk management. It offers practical insights into the challenges and successes of ERM implementation, making it valuable for those involved in establishing or improving an ERM program.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Explores the art and science of prediction in various fields, from weather forecasting to finance. It examines why some predictions succeed while many fail, emphasizing the importance of probability and understanding uncertainty. It offers valuable lessons for risk managers who rely on forecasting and data analysis.
This handbook provides a comprehensive guide to the interconnected areas of governance, risk management, and compliance (GRC). It covers frameworks, best practices, and practical guidance for implementing an integrated GRC program. It's a valuable reference for professionals responsible for GRC in their organizations.
Delves into practical issues and presents case studies related to the execution of Enterprise Risk Management programs. It provides insights from senior risk management professionals and explores how organizations measure the impact of ERM. It is particularly useful for understanding real-world challenges and best practices in ERM implementation.
Explores the journey of a Scrum Master and provides practical guidance and insights into the role beyond the basic framework. It's a helpful resource for new and experienced Scrum Masters looking to understand the mindset and practices of an effective servant-leader in a Scrum environment.
Focused specifically on risk management within the context of projects, this book provides practical guidance and techniques for identifying, analyzing, and responding to project risks. It's a valuable resource for project managers and teams, often used as a reference or textbook in project management programs.
For organizations scaling Scrum, this book introduces the Nexus Framework, an approach for multiple Scrum teams collaborating on a single product. It's essential for understanding how to apply Scrum principles at scale and addresses the challenges of integration and dependency management in larger contexts. It's a valuable resource for those dealing with scaled Scrum.
A follow-up to 'Inspired,' this book focuses on the coaching and development of product teams and the leadership necessary to create empowered teams. It's highly relevant for Scrum Masters and leaders aiming to foster an environment where Scrum teams can thrive and deliver extraordinary results. Published recently, it addresses contemporary challenges in product organizations.

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