Date d'abonnement : 2023
Responsible AI for Developers: Interpretability & Transparency
Earned août 9, 2025 EDT
Responsible AI for Digital Leaders with Google Cloud
Earned août 8, 2025 EDT
[DEPRECATED]Introduction to Responsible AI
Earned août 6, 2025 EDT
Introduction to Generative AI
Earned août 2, 2025 EDT
Responsible AI for Developers: Fairness & Bias
Earned août 2, 2025 EDT
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.