AI SCRUM MASTER CERTIFICATION TRAINING
AI-Powered Product Leadership with Jira & Atlassian Rovo
Whether you are a Scrum Master, Agile Coach, Project Manager, Team Lead, or Delivery Manager, Artificial Intelligence is transforming how Agile teams plan, collaborate, track progress, and deliver value.
This practical instructor-led training helps professionals leverage AI, Atlassian Jira, and Atlassian Rovo to improve sprint planning, backlog refinement, stakeholder communication, agile ceremonies, team productivity, and delivery management.
Learn how modern Scrum Masters use AI to remove blockers, improve team collaboration, automate repetitive activities, and enable faster, more predictable delivery.
Join the next generation of AI-enabled Scrum Masters.
What’s Included?
- Duration: Required study hours: 18 hours ( 3 Days)
- Training Mode: Online live interactive – Instructor led training program
- Experience Level: Beginner to Intermediate
- Topics Covered: AI Fundamentals, Agile & Scrum, Sprint Planning, Backlog Refinement, Agile Ceremonies, Jira & Atlassian Rovo, Team Productivity, Delivery Management, and AI Governance
- Practical Excercises: Hands-on sprint planning, AI-assisted backlog refinement, retrospective workshops, Jira & Rovo labs, and real-world Agile delivery case studies.
Enroll today and learn how to use AI to enhance Scrum delivery and team performance.
Master AI Scrum with Atlassian Jira & Rovo
This intensive certification program equips professionals with practical skills to integrate Artificial Intelligence into Agile delivery and Scrum practices.
Learn how to leverage AI for sprint planning, backlog refinement, stakeholder communication, agile ceremonies, team productivity, and delivery management. Using Jira and Atlassian Rovo, participants will explore AI-powered workflows that improve collaboration, visibility, and decision-making.
By the end of the course, you will be able to build AI-assisted Scrum workflows, improve delivery outcomes, enhance team productivity, and drive continuous improvement with confidence.
Course Features:
- Live Instructor Led Coaching Sessions : Via Zoom or Face to Face at Specific Locations.
- Hands-On Atlassian Jira & Rovo Experience: Practical AI-powered Agile delivery exercises.
- Comprehensive Curriculum: Covering AI, Scrum practices, sprint planning, backlog and delivery management.
- Real-World Agile Case Studies: Apply concepts through practical Scrum and team delivery scenarios.
- Expert-Led Discussions: Gain insights from experienced Agile practitioners and trainers.
Course Benefits:
- Leverage AI Across Agile Delivery from planning to retrospective.
- Improve Sprint Planning & Backlog Refinement using AI-driven insights.
- Enhance Team Collaboration & Agile Ceremonies with AI assistance.
- Learn how to Identify Risks, Blockers & Delivery Challenges Faster.
- Improve Stakeholder Communication & Reporting through AI-generated insights.
- Gain Practical Experience with Jira & Atlassian Rovo for AI-powered Scrum delivery.
Course Objective:
To equip participants with the knowledge and practical skills required to manage AI enabled products from concept to delivery using modern product management practices, Atlassian Jira for agile execution, and Rovo for AI-powered knowledge discovery, planning, automation, and decision support.
Course Curriculum
Why AI is reshaping product roles, what AI brings to the table, and how to build your AI
augmented PM workflow from day one.
Using AI to synthesize user research, surface patterns in feedback, generate opportunity
hypotheses, and prioritize problems worth solving.
Generating and stress-testing roadmap options with AI, using Rovo to pull context from
Confluence and Jira, and aligning plans with business goals.
Writing better user stories, auto-tagging and triaging issues, refining acceptance criteria,
and keeping backlogs healthy at scale while supercharging your product lifecycle.
Covers core prompting techniques, building prompt templates, iterating for quality, and
prompt chaining for multi-step workflows.
Applying AI to scoring frameworks (RICE, MoSCoW, WSJF), resolving conflicting
stakeholder inputs, and making defensible trade-off decisions faster.
Drafting PRDs, release notes, and executive summaries using AI; tailoring messages to
different audiences; using AI to search and surface relevant context.
Running sprint ceremonies with AI support, generating sprint goals and retrospective
insights, and using Rovo to track velocity and surface blockers in Jira.
Designing personal AI workflows, prompt libraries for product work, responsible AI use as a
PM, and a capstone project applying all tools to a real product scenario.
Covers hallucination risks, tokenization economy, data privacy, bias in AI outputs,
governance frameworks, and stakeholder transparency.