Lead with data, deliver with confidence—this course equips Product Owners and agile leaders to integrate AI tools into every stage of product development. Learn to prioritize smarter, align teams faster, and deliver more customer value using cutting-edge analytics and ethical AI practices.

---

Key Objectives

• Master core and advanced Product Owner responsibilities in modern Agile frameworks
• Integrate AI into product discovery, backlog refinement, prioritization, and customer feedback loops
• Use NLP, ML, and predictive analytics to inform product decisions and roadmap strategies
• Navigate ethical AI use in product ideation, delivery, and stakeholder collaboration
• Simulate real-world Agile product delivery using AI-enhanced tools and workflows

---

Ideal For:

• Product Owners (new and experienced)
• Product Managers & Business Analysts
• Agile Coaches & Scrum Masters
• UX Researchers & Data-Driven Designers
• Innovation Leaders & Tech Strategists exploring AI

---

Why This Course?

The future of product leadership lies in combining empathy with intelligence—human insight powered by AI. This course empowers Product Owners to:

• Translate user needs into smarter product decisions, faster
• Build a strategic edge with AI-augmented research, forecasting, and prioritization
• Elevate team alignment, reduce waste, and deliver more customer value
• Position yourself as an AI-native Product Owner that organizations need now

---

What You’ll Learn – By Unit

Unit 1: Agile Product Ownership Foundations

• Role of the Product Owner in Agile delivery
• Agile values, roadmap thinking, and product lifecycle
• Waterfall vs. Agile vs. AI-Enhanced Product Management

Unit 2: Core Product Ownership Skills with AI Integration

• Prioritization using predictive analytics & value modeling (RICE, WSJF + AI scoring)
• Backlog refinement with AI-powered story writing tools (ChatGPT, Copilot)
• Voice-of-customer analysis using NLP (e.g., Fireflies, Otter, MonkeyLearn)
• AI-enhanced estimation, story mapping, and feedback integration

Unit 3: Scaling Agile Product Thinking with AI Tools

• Advanced product metrics with Power BI, Amplitude, and Tableau AI
• Continuous discovery with real-time sentiment analysis + user behavior prediction
• Roadmap simulations using machine learning models (Prophet, TimeGPT)
• Working in SAFe®, LeSS, and Nexus with AI-enabled coordination

Unit 4: Product Leadership & Ethical AI

• Shaping product vision with data and foresight
• Addressing ethical concerns: bias in data, hallucination in AI outputs
• Responsible AI policies for product decisions
• Capstone Simulation: AI-integrated delivery of a product MVP lifecycle

---

Format

• Live sessions: Virtual or in-person (Instructor-led)
• Interactive breakouts, tool demos, and peer product critiques
• Includes AI prompt templates, estimation models, roadmap prioritization tools
• Group-based real-world challenges and product case walkthroughs

---

Duration

• Standard Track: 5 Days @ 5 Hours/day
• Corporate Flex: Custom delivery available for internal teams

---

Outcomes

• Ability to deliver smarter, faster, and more validated product releases
• Deepened stakeholder trust through AI-powered evidence
• Increased agility in prioritization and pivoting decisions
• Portfolio-ready capstone showcasing real-world AI integration

---

Certification

• Certified AI-Powered Product Owner (Foundational + Advanced)
• Certificate of Completion
• Access to Synergies4’s AI Product Leadership Toolkit & Consulting Resources

---

Student Testimonials

“This course gave me the tools and language to communicate product value using data, not guesswork. AI didn’t replace my role—it elevated it.”
— Anika P., Product Owner, Amsterdam

“The backlog generation tools were incredible. What used to take hours now takes minutes—and with better clarity.”
— Sam D., Business Analyst, Toronto

“Our capstone project simulated the full product lifecycle using AI—I left ready to pilot this at my company the next sprint.”
— Liam K., Product Manager, Sydney

“I now know how to balance AI recommendations with real customer empathy. That blend? That’s the future.”
— Olivia N., UX Strategist, San Francisco

---