Learn how to use AI tools for sprint planning, backlog refinement, daily standups and retrospectives, without losing the human judgement that makes Scrum work. Self-paced, exam included, valid for two years.
Holders of the Scrum Master AI Plus certification receive a certificate and a digital badge that anyone can verify on LiveCertification.
Learning paths
Choose the Scrum Intelligence certification on its own, or add a partner certification in the same enrolment.
Scrum Master AI Plus
- Scrum Intelligence certification
- Training and exam included
What you will learn
- Apply AI tools to sprint planning, estimation and capacity forecasting
- Use AI to summarise daily standups and surface recurring impediments
- Facilitate AI-assisted retrospectives that reveal cross-sprint patterns
- Refine product backlogs using generative AI while keeping human ownership of value decisions
- Evaluate and select AI tools that suit your team's context, size and security constraints
- Apply responsible AI practices covering data privacy, governance and bias
- Introduce AI tooling to a team without undermining Scrum values or team autonomy
- Explain the business case for AI-assisted delivery to leadership and stakeholders
Syllabus
Module 1: The AI-Augmented Scrum Master
Where artificial intelligence genuinely fits inside facilitation, coaching and servant leadership — and where it should stay out. Understanding the difference between AI as an assistant and AI as a decision-maker, and why that distinction protects team ownership.
Module 2: AI-Assisted Sprint Planning and Estimation
Using AI tools to surface historical velocity patterns, flag commitments that look risky against past data, and suggest realistic sprint scope. Covers prompt techniques for planning sessions, how to challenge AI estimates rather than accept them, and keeping the team accountable for their own commitment.
Module 3: AI in Daily Scrum and Impediment Tracking
Automating standup summaries so the team spends its fifteen minutes talking rather than reporting. Using AI to detect blockers that keep recurring across sprints, cluster related impediments, and escalate the ones that need management attention.
Module 4: AI-Powered Retrospectives
Running retrospectives where AI handles the pattern-finding across multiple sprints — sentiment trends, repeated themes, action items that never got done — while the team focuses on interpretation and decisions. Includes formats that work well with AI input and formats that do not.
Module 5: Backlog Refinement with Generative Tools
Turning raw stakeholder requests into well-formed user stories with acceptance criteria. Using AI for first drafts and gap analysis while the Product Owner keeps ownership of priority and value decisions.
Module 6: Responsible AI Adoption in Agile Teams
Data privacy when team conversations pass through third-party tools, governance around which AI tools are approved, bias in AI-generated estimates, and how to introduce AI to a sceptical team without mandating it. Covers the conversations you will need to have with security, legal and leadership.
Why this certification
Most Scrum Master certifications still teach the framework exactly as it was taught a decade ago. Meanwhile, the teams you will actually join are already piloting AI copilots for estimation, writing user stories with generative tools, and analysing sprint data automatically. Scrum Master AI Plus closes that gap.
This is not a course about AI theory. It is a practical certification that shows you which AI tools genuinely help a Scrum team, where they create risk, and how to introduce them without undermining the values that make Scrum effective. You will learn to run AI-assisted sprint planning, use AI to surface recurring impediments across sprints, and facilitate retrospectives where AI does the pattern-finding while the team does the thinking.
For hiring managers, an AI Scrum Master certification signals something specific: that you can lead a team through tooling change rather than resist it. As more organisations adopt AI inside delivery workflows, that capability moves from nice-to-have to expected. Earning this credential now puts you ahead of that curve rather than catching up to it.
The certification is fully self-paced and includes your exam fee, so you can complete it around your existing job with no fixed class schedule.
Who should take this certification
This certification is best suited for:
- Practising Scrum Masters who want to modernise their facilitation toolkit
- Agile Coaches introducing AI tooling to the teams they support
- Scrum Masters preparing for roles at organisations already adopting AI in delivery
- Delivery Leads and Project Managers moving into Agile roles in AI-forward companies
- Anyone holding a Scrum Master credential who wants to add a recognised AI specialisation
- Professionals who want practical AI skills applied to Agile, rather than general AI theory
- No coding background is required. If you understand how a sprint works, you have enough context to start.
The exam
The exam checks your understanding of the course topics and how to apply them to real team situations. You take it online on ExamVault once you have completed the course material.
The exam is taken online on ExamVault by CertExpert. Three attempts are included in the fee.
Career outcomes
AI fluency has moved quickly from a differentiator to an expectation in Agile delivery roles. This certification supports progression into:
- AI-Enabled Scrum Master roles at technology-forward organisations
- Agile Coach positions with a focus on AI-driven delivery and tooling adoption
- Senior Scrum Master and Agile Delivery Lead roles where tooling strategy is part of the remit
- Consulting and transformation roles helping organisations adopt AI-assisted Agile practices
- Release Train Engineer and programme-level roles in scaled environments using AI analytics
- Job listings for Scrum Masters increasingly reference AI tooling experience. Holding a credential that names it explicitly makes that experience easy to evidence on a CV, on LinkedIn, and in interviews.
Frequently asked questions
What is an AI Scrum Master certification?
An AI Scrum Master certification validates that you can apply artificial intelligence tools inside a working Scrum team — for sprint planning, estimation, backlog refinement, standups and retrospectives — while keeping the framework's values intact. Scrum Master AI Plus from Scrum Intelligence covers exactly that: which AI tools genuinely help, where they introduce risk, and how to bring them into a team without eroding ownership or accountability.
Do I need coding or technical AI knowledge to take this course?
No. Scrum Master AI Plus is written for practitioners, not engineers. You will not build models or write code. If you understand how a sprint works and can use a web-based tool, you have enough background to complete the course. Every AI concept is introduced through a Scrum scenario rather than as theory.
How is AI actually used by a Scrum Master day to day?
The most common uses are estimation support (surfacing what similar past stories actually took), standup summarisation (so the fifteen minutes goes on conversation rather than reporting), impediment pattern detection across sprints, first-draft user stories from raw requirements, and retrospective analysis across multiple sprints. In each case the AI does the pattern-finding and the team keeps the judgement.
Is this certification recognised by employers?
Scrum Master AI Plus is issued by Scrum Intelligence and carries a unique credential ID with a QR code, so any employer can verify it instantly on our public verification page. Job listings for Scrum Masters increasingly reference AI tooling experience, and a named credential makes that experience straightforward to evidence on a CV, a LinkedIn profile, or in an interview.
How long does the AI Scrum Master certification take to complete?
The course carries roughly twelve hours of material and is entirely self-paced. Most people finish within two to three weeks working evenings or weekends, though there is no deadline — you can move faster or slower as your schedule allows. There are no fixed class timings and no need to take leave from work.
Is the training live or self-paced?
Entirely self-paced. Your course material is available online as soon as you enrol, and you work through the modules whenever it suits you. The assessment is also taken online at a time you choose, so nothing in the certification requires you to be available at a set date or hour.
What does the exam involve and is the fee included?
The CertiPlus assessment is scenario-based and open-book, taken online. Rather than testing definitions, it presents realistic team situations and asks how you would apply AI-assisted techniques. Your enrolment fee covers the exam, and three attempts are included — a single difficult sitting does not mean paying again.
How much does the AI Scrum Master certification cost?
Scrum Master AI Plus is US $175, which includes the full course material, the assessment fee, your three attempts, a digital certificate and a shareable digital badge. There are no separate exam charges or renewal surprises at checkout.
How long is the certification valid and how do I renew it?
Your credential is valid for two years from the date of issue. We send renewal reminders as the date approaches, and renewal keeps the same credential ID so anything you have already shared — CV, LinkedIn, email signature — stays accurate. Expired credentials show as expired on the public verification page until renewed.
Should I take Scrum Master AI Plus or a traditional Scrum Master certification first?
If you have never worked in Scrum, start with a foundational credential such as Scrum Master Plus to build the framework knowledge. If you already run sprints and want to modernise how you work, Scrum Master AI Plus is the better next step — it assumes you know the ceremonies and focuses entirely on applying AI within them.
Will AI replace the Scrum Master role?
No, but it changes what the role looks like. AI is good at summarising, spotting patterns and drafting; it is poor at reading team dynamics, handling conflict, coaching individuals and making judgement calls under uncertainty. The Scrum Masters at risk are the ones doing only administrative work. This certification is built around the shift towards facilitation and coaching, with AI handling the mechanical parts.
What AI tools does the course cover?
The course focuses on categories and techniques rather than tying you to one vendor, since the tooling landscape changes quickly. You will work through general-purpose generative assistants, backlog and planning tools with AI features, and analytics approaches for sprint data — along with a framework for evaluating any new tool against your team's security, budget and context.
