A practical course for the people who decide what gets built and how it gets delivered. Learn how to identify high-impact AI opportunities, write requirements for non-deterministic systems, manage the inherent uncertainty of AI projects, and measure outcomes honestly.
Applied Strategy Workshop
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What you´ll learn |
Identifying and prioritising AI use cases: the Impact-Feasibility matrix, data readiness assessment, and build-vs-buy analysis. Learn how to use AI-tools and agentic assistance to make your life easier.
AI vs. automation vs. traditional software: choosing the right approach for each problem and knowing when AI is overkill
Writing AI-ready requirements: acceptance criteria for probabilistic systems, defining 'good enough', and handling edge cases
Managing AI projects: experimentation mindset, proof-of-concept scoping, staged rollout strategies, and stakeholder communication
Measuring value: defining success metrics, baseline measurement, total cost of ownership, and avoiding vanity metrics
Pick the path that matches your team – Read more
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Target audience |
Product Owners, Project Managers, Business Leads
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Prerequisites |
Generative AI Fundamentals
