AI for Product Owners Training

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.