From Siting to O&M

See how AI is applied across the full offshore wind lifecycle — from geospatial site screening and EIA to SCADA analytics, digital twins, and smart wind farm control.

Methods That Scale

Go beyond hype to understand the models that work in practice, including surrogate wake models, anomaly detection, NLP for stakeholder engagement, and fatigue-aware optimization.

Governance That Matters

Learn how data standards, explainability, and human-in-the-loop design enable AI adoption that regulators, lenders, and operators can rely on.

About the course

AI is advancing rapidly in offshore wind, but many organizations struggle to move from pilots to production-value systems. This course maps practical AI applications across siting, leasing, EIA, wind resource assessment, and offshore operations, grounded in real decision workflows. Topics include geospatial ML, digital EIA pipelines, wake and yield modeling, SCADA-based condition monitoring, digital twins, and smart wind farm control. The course is developed by offshore wind and digitalization practitioners who work directly with these challenges. Learners leave with a clear framework for where AI adds value, what foundations are required, and how to deploy AI responsibly at project and fleet scale.

Curriculum

  1. 1

    Intro

    1. Welcome Free preview
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    3. Course Completion Requirements Free preview
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    Glossary

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    Module 1

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    Module 2

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    Module 3

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    Module 4

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    Module 5

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    Module 6

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    Module 7

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    Final Assessment & Reflection

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    Thank You + Post-Course Survey

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Build AI capability that actually delivers

Advance your offshore wind expertise with a practitioner-led perspective on AI that spans development through operations. Earn a certificate and strengthen your role in data-driven project decisions.