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 solutions, and special batches available.
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, AI Product Management, Product Discovery, Prioritization, Backlog Management, Prompt Engineering, Atlassian Jira & Rovo, and AI Governance
- Practical Excercises: 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 Management with Jira & Atlassian 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, Business Analysts, and Project Managers 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.
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 Teams or Face to Face at Specific 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 PMO Certification and Digital Badge upon successful course 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 Mena region.
Course Curriculum:
- AI basics: ML, GenAI, and LLMs for product management
- How AI is reshaping the modern Product Manager role
- Using AI for discovery, research, and prioritization
- Building an AI-first PM mindset from day one
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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