Artificial intelligence is reshaping how we monitor, manage, and make decisions across ocean industries. But adopting AI responsibly requires more than technical know-how—it demands an understanding of its real-world applications, its limitations, and its ethical dimensions.

This foundational course introduces learners to how AI is being applied across sectors including marine conservation, aquaculture, shipping, and offshore energy. Through sector-specific case studies, you will see AI in action and develop the critical thinking skills needed to evaluate its use in your own professional context. Topics such as data bias, Indigenous data sovereignty, transparency, and ethical AI governance are woven throughout, ensuring learners are equipped not just to use AI tools, but to use them thoughtfully.

Ideal for early to mid-career professionals looking to build AI literacy within an ocean sector context, this course is designed to be accessible to those without a technical background. Learners are encouraged to take the AI Primer course first if they are new to AI concepts.

Why Take This Course?

• AI adoption in the ocean sector is accelerating—this course helps you stay ahead of the curve.
• Understand not just what AI can do, but when and why it should—and should not—be used.
• Develop the vocabulary and framework to participate in AI-related decisions within your organization.
• Learn from real ocean-sector examples that connect AI concepts to your day-to-day work.

Who Should Take This Course?

• Early to mid-career professionals in marine, coastal, or ocean-related fields
• Professionals seeking foundational AI literacy grounded in ocean-sector contexts
• Anyone working in aquaculture, conservation, shipping, offshore energy, or marine policy
• Learners who have completed the AI Primer and are ready to apply concepts to their sector

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What You Will Learn

• Discuss how AI can be used in the ocean sector, including its benefits and drawbacks
• Explain why ethics matter in the development and deployment of AI
• Identify the main rules and decision-makers shaping AI in the ocean industry
• Define data bias and explain its implications for ocean sector applications
• Recognize Indigenous data sovereignty and its relevance to AI-driven ocean work
• Summarize industry examples of AI applications across key ocean sectors
• Spot emerging AI trends and their potential impact on marine industries