Executive Development Programme in AI for Ocean Resource Management
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โข Introduction to Artificial Intelligence (AI): Understanding the basics of AI, its types, and applications.
โข AI in Ocean Resource Management: Exploring the potential of AI in managing ocean resources, including fisheries, offshore energy, and marine conservation.
โข Machine Learning (ML) Fundamentals: Learning about ML algorithms, supervised, unsupervised, and reinforcement learning, and their applications in AI.
โข Data Analysis for Ocean Resource Management: Analyzing data to gain insights into ocean resource management, including data sources, processing, and visualization.
โข AI Applications in Oceanography: Examining the use of AI in oceanography, such as predicting ocean currents, mapping the seafloor, and monitoring marine life.
โข AI Ethics and Regulations: Discussing the ethical and regulatory issues surrounding AI, including privacy, security, and environmental impact.
โข AI Implementation and Integration: Learning how to integrate AI into existing ocean resource management systems, including hardware, software, and communication requirements.
โข AI Project Management: Managing AI projects in ocean resource management, including planning, budgeting, and risk assessment.
โข AI Case Studies in Ocean Resource Management: Examining real-world examples of AI applications in ocean resource management, including successes and failures.
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- ProficiencyEnglish
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