Global Certificate in AI & Data for Social Good
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⢠Introduction to AI & Data for Social Good: Understanding the basics of artificial intelligence and data analysis in the context of social impact.
⢠Ethics in AI & Data: Exploring the ethical implications of using AI and data for social good, including considerations for bias, fairness, and privacy.
⢠Data Collection & Cleaning: Best practices for collecting, cleaning, and preparing data for analysis in social good initiatives.
⢠Machine Learning for Social Good: Hands-on experience with machine learning techniques and their application in social impact areas.
⢠Data Visualization & Communication: Techniques for effectively visualizing and communicating data insights to diverse audiences.
⢠AI in Public Health: Examining the role of AI in improving public health outcomes, including disease prediction and intervention.
⢠AI for Environmental Sustainability: Understanding the potential of AI to address environmental challenges and promote sustainability.
⢠AI in Education: Analyzing the use of AI to improve educational outcomes, including personalized learning and predictive analytics.
⢠AI for Social Welfare & Justice: Exploring the potential of AI to address social welfare and justice issues, such as poverty reduction and criminal justice reform.
⢠Emerging Trends in AI & Data for Social Good: Staying up-to-date with the latest developments and future directions in the field.
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