AIPO Training Course Overview
AI for Product Owners Certification Training is a live, instructor-led course designed to help you seamlessly integrate artificial intelligence (AI) into your everyday product management practices.
In today’s evolving product landscape, Product Owners need more than just backlog management skills — they need intelligent tools that elevate strategy, clarity, and customer value. You’ll learn how to use AI to make smarter, data-informed decisions that accelerate delivery and deepen customer insight. Discover how to harness the power of Generative AI and AI-integrated tools across every stage of the product lifecycle — from shaping strategy and prioritizing the backlog to refining user stories, forecasting risks, and gathering real-time market intelligence.AI becomes your co-pilot, helping you and your team move faster, think deeper, and deliver more value. Throughout the course, you’ll gain practical techniques to embed AI into your workflow — reducing time spent on repetitive tasks, improving alignment with stakeholders, and unlocking insights that drive innovation. Through hands-on exercises and real-world examples, you’ll build the confidence to apply AI responsibly and effectively.By the end of this course, you’ll position yourself as a forward-thinking Product Owner or Product Manager — someone who leads with clarity, collaborates with intelligence, and shapes products that resonate in the AI-enabled future.
Stand out as a product leader who doesn’t just use AI — but partners with it to amplify impact, elevate customer outcomes, and drive continuous value.
AIPO Certification Course Features
- Live, Instructor-Led Sessions.
- Lifetime-Valid Microcredential from Scrum Alliance.
- Hands-On AI Tool Practice & Prompt Engineering.
- Real-World Product Scenarios & Use Cases.
- No Technical or AI Background Required.
- Engage with real-world projects for practical learning.
Skills Covered in AIPO Training
- AI Integration in Product Lifecycle.
- Prompt Engineering Basics.
- User Story Creation with AI.
- Backlog Refinement using AI Tools.
- Data-Driven Decision Making.
- AI-Powered Risk Forecasting.
- Real-Time Market Intelligence.
- Ethical AI Practices in Scrum.
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