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AI in Scrum-Based Software Development
Rating: 4.5 out of 5(33 ratings)
848 students

AI in Scrum-Based Software Development

Agile development by integrating Artificial Intelligence into every phase of the Scrum lifecycle
Created byMahesh Kumar Swayamprakasam
Last updated 3/2026
English
English [Auto],

What you'll learn

  • Agile POs looking to use AI tools for smarter backlog management, sprint planning, and data-driven prioritization.
  • Scrum facilitators who want to streamline sprint ceremonies, track team performance with AI insights, and enhance retrospectives using intelligent automation.
  • Developers working in Agile teams who wish to adopt AI-powered assistants, code generators, and productivity tools to accelerate delivery and reduce manual task
  • Professionals mentoring Agile teams or leading digital transformation initiatives, looking to integrate AI practices across teams for improved agility

Explore related topics

Course content

1 section • 10 lectures • 59m total length

  • AI in Scrum-Based Software Development3:46

    AI transforms scrum-based software development by analyzing past sprints to inform planning, backlog organization, and velocity insights, while predicting risks, automating mundane tasks, and suggesting story points.

  • AI in Scrum-Based Software Development Quiz
  • The Scrum Lifecycle4:42
  • The Scrum Lifecycle
  • AI Tools for Product Owners5:36

    Empower product owners to prioritize backlog and refine user stories with AI-powered, data-driven insights from customer feedback, analytics, market intelligence, and competitors.

  • AI Tools for Product Owners
  • AI Tools for Scrum Masters5:54

    Discover how ai tools transform scrum masters from facilitators to performance optimizers by capturing real-time actions, analyzing participation, predicting bottlenecks, and integrating with Jira or Azure DevOps to boost velocity.

  • AI Tools for Scrum Masters
  • AI Tools for Developers6:05

    Discover how AI tools for developers transform writing, testing, and shipping code with Copilot-powered code generation, AI code review, automated testing, and architectural prototyping that improve coverage and efficiency.

  • AI Tools for Developers
  • AI in Sprint Planning6:41

    Leverage ai in sprint planning to transform guessing into data driven estimation and backlog refinement, optimizing sprint goals for business impact while highlighting risks and readiness.

  • AI in Sprint Planning
  • AI in Sprint Execution6:38

    Ai acts as a co-pilot in sprint execution, turning daily standups into an insight machine that detects blockers, optimizes task flow, and improves sprint predictability.

  • AI in Sprint Execution
  • AI in Sprint Review & Retrospective6:12

    Leverage artificial intelligence to transform sprint reviews and retrospectives with an interactive dashboard and data powered insights, turning demos into release notes and actionable improvements.

  • AI in Review & Retrospective
  • Benefits of AI in Scrum6:13

    By integrating AI into scrum, teams reduce production bugs, improve planning, and raise code quality, while proactive alerts, better retrospectives, and reduced burnout drive measurable sprint success.

  • Benefits of AI in Scrum
  • Getting Started with AI in Your Scrum Team7:13
  • Getting Started with AI in Your Scrum Team

Requirements

  • Basic Understanding of Scrum Framework Learners should be familiar with Scrum roles (Product Owner, Scrum Master, Developer) and key ceremonies like sprint planning, daily stand-ups, reviews, and retrospectives. Interest in AI Tools or Agile Productivity No deep AI expertise needed, but an interest in exploring practical AI applications in team workflows is recommended. General IT or Software Development Knowledge Ideal for those working in software development, Agile teams, or digital project management. Device with Internet & Audio Access Since the course uses narrated presentations, learners should have a device (laptop or mobile) with internet access and audio capability.

Description

Unlock the full potential of Agile development by integrating Artificial Intelligence into every phase of the Scrum lifecycle. AI in Scrum-Based Software Development is a practical, role-based course designed to equip Product Owners, Scrum Masters, and Developers with the knowledge and tools to enhance their workflows using cutting-edge AI solutions.

Explore how AI transforms traditional Scrum ceremonies—from intelligent sprint planning and backlog refinement to automated retrospectives and real-time execution insights. Learn to apply AI tools tailored to your Scrum role, boost productivity, streamline decision-making, and accelerate delivery without compromising Agile values.

Whether you're starting your AI journey or looking to scale its impact within your Agile teams, this course offers a hands-on path to drive smarter, faster, and more adaptive software development.

Key Learning Areas:

* Understand the Scrum lifecycle with AI integration

* Role-specific AI tools for Product Owners, Scrum Masters, and Developers

* AI-assisted sprint planning, execution, and retrospectives

* Real-world benefits of AI-enhanced Agile workflows

* Practical steps to adopt AI within your Scrum team

Who Should Attend: Agile Coaches, Product Owners, Scrum Masters, Developers, Tech Leads, and anyone involved in Agile software delivery looking to modernize their practices with AI. This short course helps you understand the AI integration points in Agile Scrum Life Cycle.


Who this course is for:

  • This course is designed for professionals working in Agile and Scrum environments who are eager to enhance their workflows with the power of Artificial Intelligence. Whether you're managing backlogs, facilitating sprints, or writing code—this course will show you how AI can boost efficiency and decision-making across your Scrum team. You will find this course valuable if you are: Product Owners looking to make smarter prioritization and planning decisions using AI tools Scrum Masters aiming to automate sprint tracking, retrospectives, and team productivity insights Developers interested in leveraging AI-powered coding assistants and automation tools Agile Coaches or Tech Leads exploring innovative ways to scale AI adoption within Agile teams Anyone in software development seeking practical, role-specific applications of AI in Agile workflows No AI expertise is required—just a foundational understanding of Scrum and a willingness to innovate.

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