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
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1
Intro
- Welcome Free preview
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Course Map
- Course Completion Requirements Free preview
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2
Glossary
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Course Glossary
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3
Module 1
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1.1: Introduction to AI and Digitalization
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1.1.1: Types of Machine Learning
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1.2: AI, Machine Learning, and Data Science
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1.2.1: Types of Machine Learning
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1.3: AI in Renewable Energy Systems
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1.3.1: Digitalization of the Energy System
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Module 1: Practice Quiz
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4
Module 2
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2.1: Site Selection and Leasing Optimization
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2.1.1: Frameworks for Site Selection
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2.2: AI for MetOcean and Geotechnical Surveys
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2.2.1: Current State of AI in Surveys
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2.3: Scenario Planning and Development Modeling
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2.3.1: Decision Support Tools and AI
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Module 2: Practice Quiz
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5
Module 3
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3.1: Marine Spatial Planning and EIA Frameworks
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3.1.1: Spatial Prioritization and AI
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3.2: AI for Species Monitoring and Habitat Mapping
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3.2.1: Current State of AI in Species Monitoring
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3.3: Digital EIA and Risk Mitigation
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3.3 Visuals
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3.3.1: Current State of Digital EIA
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3.3.1 Visuals
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Module 3: Practice Quiz
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6
Module 4
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4.1: Wind Climate Modeling and Forecasting
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4.1.1: Reanalysis Datasets and AI
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4.2: Wake Modeling and Turbine Interaction Loss
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4.2 Visuals
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4.2.1: Current State of AI in Wake Modeling
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4.3: Yield Prediction and Optimization
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4.3.1: Current State of AI in Yield Prediction
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4.3.1 Visuals
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Module 4: Practice Quiz
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7
Module 5
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5.1: Performance and Condition Monitoring
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5.1.1: SCADA Data and AI Analytics
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5.1.2: Current State of AI in Monitoring
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5.1.2 Visuals
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5.2: Digital Twins and Life Extension
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5.2.1: Current State of Digital Twins in Offshore Wind
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5.3: Robotics and Autonomous Inspection
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5.3.1: Current State of Robotics and AI in Inspection
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5.3.1 Visuals
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Module 5: Practice Quiz
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8
Module 6
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6.1: Smart Wind Farms and Operational Optimization
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6.1.1: Fatigue Budgeting and Lifecycle Optimization
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6.2: Governance, Ethics, and Data Infrastructure
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6.2.1: Current State of Governance and Infrastructure
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6.3: Roadmap to Level 5 AI Complexity
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6.3.1: Artificial General Intelligence (AGI) in Offshore Wind
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Module 6: Practice Quiz
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9
Module 7
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7.1: Outro
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10
Final Assessment & Reflection
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Course Recap and Final Assessment
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Reflection
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Final Assessment
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11
Thank You + Post-Course Survey
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Farewell
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Thank You
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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.
$1,075.00