Scrum Master AI Plus Certification - Associate Level | Scrum Intelligence

Scrum Master AI Plus
Foundation

What is Scrum?

Scrum is a lightweight framework that helps individuals, teams, and organisations generate value through adaptive solutions for complex problems. Created by Ken Schwaber and Jeff Sutherland, Scrum is the world's most widely adopted agile framework — used by over 58% of software organisations globally and across banking, healthcare, e-commerce, and government sectors.

Scrum breaks complex work into short focused cycles called Sprints — typically 1 to 4 weeks — and continuously inspects and adapts based on real feedback. This allows teams to deliver value early, change direction quickly, and improve continuously.

Official Definition · Scrum Guide 2020
"Scrum is a lightweight framework that helps people, teams and organisations generate value through adaptive solutions for complex problems."
Ken Schwaber and Jeff Sutherland

The Three Pillars of Scrum

🔍
Transparency
All significant aspects must be visible to those responsible for the outcome.
🔎
Inspection
Practitioners regularly inspect artifacts and progress to detect undesirable variances.
Adaptation
When inspection reveals problems, the process must be adjusted as soon as possible.

The Five Scrum Values

C
Commitment
The Scrum Team commits to achieving goals and supporting each other — accountability for outcomes.
F
Focus
Primary focus on Sprint work and goals — eliminating multitasking and improving quality.
O
Openness
The team and stakeholders are open about all work and challenges they face.
R
Respect
Team members respect each other as capable, independent individuals — the foundation of trust.
C
Courage
The courage to do the right thing, surface impediments honestly, and have difficult conversations.

The Three Scrum Accountabilities

🎯
Scrum Master
Accountable for establishing Scrum. Coaches the team, facilitates events, removes impediments.
💡
Product Owner
Accountable for maximising product value. Manages the Product Backlog and Product Goal.
⚙️
Developers
Self-managing professionals committed to creating a usable Increment each Sprint.

The Five Scrum Events

🔄 The Sprint
The heart of Scrum — fixed-length event of 1 month or less. All other events happen within the Sprint.
📋 Sprint Planning
Initiates each Sprint. Team defines Sprint Goal and selects backlog items. Max 8 hours.
☀️ Daily Scrum
15-minute daily event for Developers to inspect progress and adapt the Sprint Backlog.
🔍 Sprint Review
Inspect Sprint outcome with stakeholders. Collaborative working session. Max 4 hours.
💬 Sprint Retrospective
Team inspects how the Sprint went and creates improvement plan. Max 3 hours.

The Three Scrum Artifacts

📋
Product Backlog
Commitment: Product Goal
Ordered list of everything needed in the product. Single source of work.
Sprint Backlog
Commitment: Sprint Goal
Sprint Goal + selected items + delivery plan. Created by Developers.
Increment
Commitment: Definition of Done
Concrete stepping stone toward Product Goal. Must be usable.

Why Scrum Matters — Industry Data

58%
of software organisations use Scrum
37%
faster time-to-market with agile
25%
salary premium for certified professionals
70%
of Indian IT companies use agile

Scrum vs Traditional Project Management

Aspect Scrum Traditional
PlanningAdaptive — evolves with learningPredictive — planned upfront
DeliveryIncremental — value every SprintSequential — value at end
ChangeWelcomed — competitive advantageResisted — formal process
CustomerContinuous — every SprintMinimal — start and end
TeamSelf-managing, cross-functionalHierarchical, specialised
Overview

About Scrum Master AI Plus

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.
What You Will Learn

Learning Objectives

1
Apply AI tools to sprint planning, estimation and capacity forecasting
2
Use AI to summarise daily standups and surface recurring impediments
3
Facilitate AI-assisted retrospectives that reveal cross-sprint patterns
4
Refine product backlogs using generative AI while keeping human ownership of value decisions
5
Evaluate and select AI tools that suit your team's context, size and security constraints
6
Apply responsible AI practices covering data privacy, governance and bias
7
Introduce AI tooling to a team without undermining Scrum values or team autonomy
8
Explain the business case for AI-assisted delivery to leadership and stakeholders
Course Content

Detailed 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.

Who Should Attend

Is This Right For You?

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.

Prerequisites

No formal prerequisites. A working understanding of Scrum — either through practical experience or a foundational certification such as Scrum Master Plus — will help you get the most from the material. No coding or technical AI background is required; the course is written for practitioners, not engineers.
Certification Assessment

Exam & Certification Details

📝
60
Questions
⏱️
90
Minutes
🎯
70%
Pass Score
🔄
2
Attempts
Certification Details
Exam FormatOnline proctored — take from any location with webcam
Question TypeScenario-based multiple choice
Passing Score70% — 42 out of 60 questions correct
Duration90 minutes
Attempts2 included in course fee
CertificateDigital certificate within 24 hours of passing
Digital BadgeLinkedIn-shareable badge within 48 hours
ValidityLifetime — no expiry, no renewal fee
LanguageEnglish
Practice Exams2 full-length practice exams included
The Scrum Intelligence CertiPlus assessment is a scenario-based, open-book examination taken online at a time you choose. You are tested on applying AI-assisted techniques across sprint planning, daily standups, retrospectives and backlog refinement in realistic team situations, rather than on recalling definitions.

Your enrolment fee covers the assessment. Your first two attempts are included, so a single difficult sitting does not mean paying again. Results are issued promptly and your digital certificate and badge appear in your dashboard once you pass.

Your credential is valid for two years from the date of issue and can be renewed. Every certificate carries a unique credential ID and a QR code, so employers can verify it instantly on our public verification page.
Career Outcomes

Your Career After Certification

Entry Level (0-2 yrs)
₹6–10 LPA
With CertiPlus + CSM
Mid Level (3-5 yrs)
₹10–18 LPA
Senior Scrum Master
Senior (6+ yrs)
₹18–28 LPA
Agile Coach / Lead

Data from Naukri, LinkedIn Salary Insights, Glassdoor India 2024-2025. Individual outcomes vary.

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.
FAQs

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 your first two 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 first two 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.
Quick Facts
LevelAssociate
TrackAI Variants
Duration12 Hours
ExamIncluded
Attempts2 Included
BadgeDigital ✓
ValidityLifetime
LanguageEnglish
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