AI for Product Owners Training
Course 5205
1 DAY COURSE

Learn how to use GenAI and AI-integrated tools to enhance everything you do, including strategic planning, decision-making, analyzing and refining use stories, lifecycle management, and audience insights. Set yourself apart as a product owner or product manager who knows how to seamlessly add artificial intelligence to your team as a co-pilot, making everything you and your team do easier, more efficient, and faster.

This course helps you earn the Scrum Alliance AI for Product Owners Microcredential.

AI for Product Owners Training Benefits

• Course Benefits

  • Focused expertise — gain specialized knowledge in a specific area
  • Relevant — topics prioritized to cover industry trends and emerging technologies
  • Expedient — earn a credential in hours as opposed to weeks, months, or years

• Prerequisites

  • Official Prerequisites: Scrum Alliance does not require any official pre-requisites to attend this course.   
  • Pre-Course Knowledge: In order to get the most out of your experience, Learning Tree recommends familiarity with the Product Owner role at the level of Certified Scrum Product Owner® (CSPO) Certification Training or Scrum Product Owner Training.

• Certification Information

  No exam is required to earn this microcredential.

AI for Product Owners Course Outline

Learning Objectives

Required Pre-Course Preparation

• Review the pre-course communication from Learning Tree to understand how to access all of your course materials.
• Ensure you have access to your My Learning Tree portals before the start of class. Reach out to Learning Tree customer service if you are having trouble.

Module 1: Everyday AI Tools for Product Owners

• Describe AI tools that can streamline product management workflows and save time.
• Identify how to use different tools to generate meeting notes, assist in ordering backlog items, and set reminders for key deadlines.
• Evaluate AI-generated output and understand when editing is needed.

Module 2: Prompt Engineering: The Key to Effective AI Interactions

• Identify the principles of effective prompt engineering.
• Design clear, specific AI prompts to achieve work goals.
• Evaluate AI-generated output and edit results as needed.
• Describe techniques for refining prompts to yield desired AI outputs.

Module 3: Customizing AI for Your Team

• Identify how to upload and use custom data to fine-tune and personalize AI.
• Identify best practices for fine-tuning AI tools for your Scrum workflows.
• Describe how AI tools can impact other frameworks such as Kanban, Lean, and XP.

Module 4: AI for Product Requirements and Strategy

• Use AI to generate comprehensive product requirements.
• Utilize AI for market analysis and competitor research.
• Incorporate AI into strategic planning and decision-making.

Module 5: AI for User Story Creation and Refinement

• Describe how AI can assist in identifying the target audience.
• Identify how AI can assist in generating user stories from various sources of feedback and data.
• Describe techniques for refining AI-generated user stories to ensure clarity, conciseness, and alignment with business value.
• Utilize AI tools to assist in ordering user stories based on their impact on customer needs and strategic goals.

Module 6: AI for Agile Teams and Processes

• Integrate AI into backlog refinement, estimation, and roadmap integration.
• Identify how to use AI for meeting summaries, notes, and action items.
• Describe how to use AI for customer interviews and AI-based market research.

Module 7: AI-Powered Predictions and Insights

• Use AI to forecast customer behavior and market trends.
• Apply AI tools for data analysis and reporting.
• Explore AI-driven product roadmap creation.

Module 8: Ethical AI in Scrum Practice

• Define data bias.
• Develop a framework for the evaluation of AI usage from an ethical standpoint.
• Set guidelines for ensuring human oversight and responsible AI use.
• Identify ethical considerations in the use of AI specific to each Scrum accountability.

Module 9: Prompt Engineering Learning Lab for Product Owners (unique to on-demand course)

• Use prompt engineering to conduct market research and competitive analysis.
• Develop prompts that effectively instruct AI models to create and define product vision statements.
• Develop prompts that effectively instruct AI models to estimate story points for sprint planning.