Executive Development Programme in AI for Community Recovery
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โข Introduction to Artificial Intelligence (AI): Understanding AI fundamentals, history, and current trends. Exploring AI applications and implications in community recovery.
โข Data Science and Analytics: Learning about data collection, cleaning, and analysis. Applying statistical methods and machine learning algorithms to extract insights and inform decision-making.
โข Machine Learning (ML): Mastering supervised, unsupervised, and reinforcement learning techniques. Applying ML models to predict and optimize community recovery outcomes.
โข Natural Language Processing (NLP): Extracting insights from unstructured data sources, such as social media and news articles. Applying NLP techniques to monitor and analyze community sentiment during recovery efforts.
โข Computer Vision for Disaster Response: Leveraging image recognition and analysis to assess disaster damage, identify hazards, and track recovery progress.
โข AI Ethics and Bias: Understanding ethical considerations and potential biases in AI systems. Implementing strategies to ensure ethical and unbiased AI decision-making in community recovery.
โข AI Strategy and Leadership: Developing a strategic vision for AI adoption and its integration with existing community recovery processes. Fostering a data-driven culture and leading AI projects to success.
โข AI Governance and Compliance: Navigating legal and regulatory frameworks for AI. Implementing AI governance structures and ensuring compliance with relevant standards and regulations.
โข AI Project Management: Managing AI-driven community recovery projects, including setting objectives, defining scope, and monitoring performance.
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- ThreeFourHoursPerWeek
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