Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Graphic Design
Data Analysis
Digital Marketing
El rol de la digitalización en la transición energética
First Step Korean
Supporting Successful Learning in Primary School
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Responsible AI, earn certificates with paid and free online courses from Stanford, University of Michigan, Johns Hopkins, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Explore ethical AI usage through the SIFT framework, focusing on responsible creativity, risk assessment, and sustainable decision-making for individuals and organizations.
Explore ethical considerations, policies, and risks of generative AI implementation in organizations while learning to navigate transparency, legal challenges, and future developments.
Aprenda a implementar IA responsável em sua organização usando o Google Cloud. Descubra as melhores práticas, lições aprendidas e como operacionalizar princÃpios éticos de IA.
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Learn techniques to identify and mitigate fairness and bias issues in AI/ML practices using Google Cloud products and open-source tools, while implementing Responsible AI principles.
Explore AI interpretability and transparency techniques, gaining practical skills to enhance data and model clarity for responsible AI development.
Equip yourself with essential skills to build ethical AI systems. Learn to mitigate bias, interpret models, prioritize privacy, and ensure safety in AI development using Google Cloud tools.
Learn responsible AI practices, including core dimensions, AWS tools, model selection, data preparation, transparency, and human-centered design for explainable AI systems.
Aprende a implementar IA responsable, identificar sesgos y promover la equidad en proyectos de IA/ML utilizando herramientas de Google Cloud y código abierto.
Master the principles and practices of developing ethical AI systems, focusing on fairness, transparency, accountability, and societal impact in artificial intelligence implementation.
Learn about the practices needed to perform fairness testing and implement responsible AI systems.
Learn about the fundamentals of ethics in AI. Explore ways to operationalize responsible AI in daily organizational practice.
Explore Microsoft's Responsible AI Dashboard, an open-source framework integrating tools for error analysis, interpretability, fairness, and causal decision-making to build reliable and responsible AI products.
Explore challenges and opportunities in responsible AI development, focusing on human-centered approaches, cultural shifts, and tooling advances to address risks and ensure societal benefits.
Explore ethical AI implementation, from principles to practice, focusing on healthcare considerations and practical tools for responsible AI throughout the development lifecycle.
Get personalized course recommendations, track subjects and courses with reminders, and more.