Generative AI for Product Owners and Managers (AIPVM)

AI - Artificial Intelligence, AI for Professions

Gain time for you and your team and learn to use generative AI efficiently. Boost team velocity with AI tools for backlog work. Generative AI will become a standard skill for innovation teams; this course introduces large language models and practical uses.

This hands-on course teaches Prompt Engineering, safe practices for AI tools, and methods to apply models for prototyping, reports and stakeholder work. You will try practical workflows, templates and explore CustomGPTs and RAG to secure project-specific solutions.

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The course:

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  • Principles and capabilities of large language models (e.g., ChatGPT) and other generative AI tools
  • Fundamentals and hands-on training in Prompt Engineering
  • Safe use of AI tools: what to do and what to avoid
  • Core product owner activities — practical examples in:
    1. Personal productivity and administrative support
    2. Market research, competitor analysis and crafting product vision
    3. Information work: generating questions, finding alternatives and inconsistencies
    4. Working with stakeholders: interview and workshop preparation
    5. Prototyping at varying levels of fidelity
    6. Creating drafts of text and visual outputs (personas, processes, needs, requirements, user stories, acceptance criteria)
    7. Backlog work: splitting user stories, story mapping, sharing info, prioritization and reacting to change
    8. Using AI for methodological support and quality assurance (templates, surveys, tools)
  • Advanced techniques and future trends
    1. Building CustomGPTs tailored to your team or project
    2. RAG (Retrieval-Augmented Generation) and using it for project-specific conversations
    3. Deploying and developing local language models for higher security
Assumed knowledge:
Familiarity with product development concepts and basic computer skills.
Schedule:
1 day (9:00 AM - 5:00 PM )
Language: