AI Product Owner Certification (AI PO)
AI-Powered Product Leadership with Jira & Atlassian Rovo
- Expert-led: Delivered by experienced AI product practitioners with real-world expertise in AI-driven product management.
- Hands-on Learning: Focused on practical AI applications including product discovery, backlog management, prompt engineering, and AI-assisted decision-making.
- Flexible Learning Options: Individual training, corporate training, and special batches available.
What’s Included?
- Duration: Required Study Hours: 18 hours, delivered over 3 days
- Training Mode: Live online, interactive, instructor-led training
- Experience Level: Beginner to Intermediate
- Topics Covered: AI Fundamentals, AI Product Management, Product Discovery, Prioritization, Backlog Management, Prompt Engineering, Atlassian Jira & Rovo, and AI Governance
- Practical Exercises: Hands-on product discovery, AI-assisted backlog refinement, roadmap planning, Jira & Rovo labs, and real-world product management case studies.
Enroll today and learn how to apply AI across the product management lifecycle.
Master AI Product Ownership with Atlassian Jira & Rovo
Become a future-ready Product Owner with this comprehensive AI Product Owner Certification program.
- Leverage AI across the product lifecycle: Learn how to apply AI to product discovery, prioritization, roadmap planning, backlog management, and delivery.
- Master Jira & Atlassian Rovo: Use AI-powered tools to streamline requirements management, backlog refinement, team collaboration, and decision-making.
- Develop practical AI product management skills: Gain hands-on experience with prompt engineering, AI-assisted product workflows, and real-world product case studies.
This Course is Perfect for:
- Product and Agile Professionals – Product Owners, Product Managers, Scrum Masters, Agile Team Leads, and Business Analysts looking to enhance their product management capabilities with AI.
- Technology and Transformation Leaders – Digital Transformation professionals, Innovation Managers, Technology Consultants, and Solution Architects seeking to drive AI-enabled product and business initiatives.
- Aspiring Product Leaders and Entrepreneurs – Startup Founders, Product Entrepreneurs, and professionals transitioning into Product Management who want to leverage AI for smarter product strategy, planning, and delivery.
Prerequisites:
The AI Product Owner Certification is designed for both experienced professionals and those beginning their journey into AI-driven product management, as well as anyone looking to understand how AI-powered products are planned and delivered. No prior coding, machine learning, or AI engineering experience is required.
Ideal if you have:
- A basic understanding of Product Management, Business Analysis, or Project Management.
- Familiarity with Agile or Scrum concepts (helpful, but not mandatory).
- An interest in AI and digital transformation.
Course Description:
This AI Product Owner Certification is a 3-day, instructor-led training program designed to equip professionals with practical skills in AI-driven product management.
Participants will learn how to apply AI across the product lifecycle, including product discovery, prioritization, backlog management, prompt engineering, and roadmap planning, while gaining hands-on experience with Jira and Atlassian Rovo.
The course blends foundational AI concepts with real-world case studies and interactive exercises, enabling learners to effectively integrate AI into modern product management practices.
Course Features:
- Live instructor-led coaching sessions via Microsoft Teams or face-to-face at selected locations.
- Hands-On Jira & Atlassian Rovo Labs: Practical AI-powered product management exercises.
- Comprehensive Curriculum: Covering AI, product discovery, roadmapping, prioritization, and delivery.
- Real-World Case Studies: Apply concepts through practical product management scenarios.
- Expert-Led Discussions: Gain insights from experienced practitioners and industry experts.
Course Benefits:
- Leverage AI Across the Product Lifecycle from discovery and planning to delivery and optimization.
- Improve Product Discovery, Prioritization, and Decision-Making using AI-driven insights and automation.
- Build Smarter Roadmaps, Product Strategies, User Stories, and Backlogs aligned with business goals.
- Enhance Stakeholder Collaboration and Product Delivery using Jira, Atlassian Rovo, and AI-powered workflows.
- Earn a PMOBytes AI Product Owner Certificate and digital badge upon successful completion.
Certification Assessment:
- 20-Question Certification Quiz covering AI Product Management, Product Ownership, Jira, Atlassian Rovo, Product Discovery, Prioritization, and AI-powered Product Delivery.
- Practical Project Assignment based on a real-world product scenario, applying Product Owner processes including product discovery, user story creation, backlog prioritization, roadmap planning, and AI-assisted decision-making.
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.
Lead Instructor Details:
- 5+ Years of Experience in AI-powered Project Management and Agile Delivery.
- MSc in Intelligent Computer Systems, specializing in Artificial Intelligence & Intelligent Systems.
- Certified Atlassian Professional with expertise in Jira, Agile Delivery, and Enterprise Collaboration.
- Specialist in AI, Agile & Scrum, ITSM, and DevOps with practical implementation experience.
- International Experience delivering AI and Atlassian solutions across the MENA region.
Course Curriculum:
- AI basics: ML, GenAI, and LLMs for product management
- How AI is reshaping the modern AI product owner role
- Using AI for discovery, research, and prioritization
- Building an AI-first PM mindset from day one
Activity: Participants run a product incident simulation where AI must diagnose a sudden product failure using incomplete and conflicting data, revealing LLM reasoning limits, context sensitivity, and agent execution failures in real time
- Identify customer needs and pain points with AI insights
- Generate and validate product ideas faster using GenAI tools
- Use AI to accelerate user research and market analysis
- Improve product discovery decisions with data-driven inputs
Activity: Participants analyze a messy dataset of customer feedback, reviews, and support tickets and use AI to extract insights, cluster themes, and generate opportunity areas while testing how framing changes discovery outcomes
- Prioritize features with data-driven insights and AI recommendations
- Align product goals with business outcomes more effectively
- Use AI to support product strategy and roadmap creation
- Improve planning speed and accuracy through AI-assisted decision-making
Activity: Participants generate an AI-driven roadmap for a product under real business constraints and then stress-test it against hidden dependencies, capacity limits, and stakeholder conflicts
- Manage and refine product backlogs using AI in Jira
- Automate issue creation, structuring, and prioritization
- Improve sprint planning and lifecycle tracking with AI insights
- Enhance workflow efficiency using Jira and Atlassian Rovo AI tools
Activity: Participants generate product architecture documentation and epic and story work items, clean and restructure a Jira backlog, then simulate sprint planning to evaluate how AI handles real-world delivery complexity
- Learn core prompt engineering techniques for product use cases
- Create effective prompts for research, analysis, and ideation
- Use AI tools to generate user stories, acceptance criteria, and specs
- Improve output quality by refining and iterating prompts systematically
Activity: Participants iteratively refine prompts to transform vague product requests into high-quality PRDs, testing how different prompt structures change AI reasoning and output quality
- Apply AI to evaluate and prioritize product features objectively
- Use data-driven frameworks to support faster decision-making
- Balance customer value, effort, and business impact with AI insights
- Reduce bias in prioritization through AI-assisted analysis
Activity: Participants apply AI-based prioritization frameworks (e.g., RICE) to a feature set with hidden constraints and stakeholder conflicts, then compare AI ranking vs human judgment
- Use AI to draft clear and structured stakeholder updates
- Improve communication of product insights and decisions
- Tailor messaging for different audiences using AI assistance
- Enhance collaboration through faster, data-backed reporting
- Optimize sprint planning and execution using AI insights
- Automate task tracking, updates, and progress reporting
- Improve delivery predictability with AI-driven analytics
- Enhance team productivity through smarter workflow orchestration
Activity: Participants manage an active sprint simulation using AI-generated insights to assess sprint health, identify hidden risks
- Design an end-to-end AI-augmented product management workflow
- Integrate AI tools into discovery, planning, and delivery processes
- Standardize prompts, templates, and decision frameworks for consistency
- Build a scalable system for continuous AI-driven product improvement
Activity: Participants design a full AI PM workflow, going across the entire product lifecycle
- Understand key principles of responsible and ethical AI use in product management
- Identify risks such as bias, privacy, and transparency in AI-driven decisions
- Apply governance frameworks to ensure safe and compliant AI adoption
- Balance innovation with accountability in AI-powered product development
Activity: Participants investigate a simulated AI-driven product failure, trace decision breakdowns across the lifecycle, and design governance controls to prevent recurrence
Frequently Asked Questions (FAQs):
No, the AI Product Owner Certification is designed for business and product professionals. You do not need experience in coding or AI model development.
This course is ideal for Product Owners, Product Managers, Business Analysts, Project Managers, Scrum Masters, Digital Transformation leaders, and anyone responsible for delivering AI-enabled products or initiatives.
This certification builds on traditional Product Management principles by focusing on the planning and delivery of AI-powered products. It helps you understand how to identify opportunities, define product requirements, and work effectively with AI and technical teams.
The course uses practical examples and real-world use cases to show how AI can solve business problems and improve customer experiences. Participants will also get hands-on exposure to LLMs, OpenAI solutions, and Atlassian Rovo through practical demonstrations and exercises.
The certification provides a practical understanding of how AI can be integrated into business processes and product development. It equips professionals with the knowledge to identify opportunities, align them with business objectives, and confidently contribute to AI-driven and digital transformation initiatives within their organisations.
Yes, the course is designed for both experienced professionals and beginners. No prior AI, coding, or technical experience is required.
Yes, upon successfully completing the course, participants will be awarded the AI Product Owner Certification, co-branded with PMI and Atlassian, recognizing their knowledge of AI product management principles and best practices.