Practical Methodology and Ethics in AI
Coursera
24 Courses
Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.
Overview
Discover the comprehensive course "Practical Methodologies and Ethics in AI" offered by Johns Hopkins University on Coursera. This program is designed to furnish you with vital skills to develop, evaluate, and deploy deep learning models, while thoroughly exploring ethical considerations in AI.
Engage in hands-on projects and case studies to master the methodologies for effective model training, issue troubleshooting, and application of structured probabilistic approaches to uncertainty management. The course notably emphasizes ethics, training you to recognize and address bias, fairness, and societal issues throughout the AI lifecycle.
You'll integrate structured probabilistic models with deep learning to build strong, interpretable AI systems that effectively address real-world problems. The course uniquely balances technical expertise with a focus on responsible AI practice, teaching you to handle incomplete data, analyze peer presentations, and critically assess AI's broader societal impact.
Whether you're a data scientist or an AI enthusiast, this course promises a holistic foundation for developing impactful and ethical AI solutions.
Categories include Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Model Training, and Ethics in AI Courses. Join the transformative journey and peer into the future of AI with ethical standards and technical prowess, ensuring your creations are both innovative and socially responsible.
