Responsible AI
Learn how to design AI systems that can provide understandable and interpretable explanations for their decisions and outputs, making them more transparent and trustworthy.
Learn how to design AI systems that can provide understandable and interpretable explanations for their decisions and outputs, making them more transparent and trustworthy.
This module covers the concepts of bias and fairness in AI systems, including how to detect and mitigate bias in data, algorithms, and outputs.
This module covers the privacy and security implications of AI systems, including how to protect sensitive data, comply with regulations, and prevent adversarial attacks.
This module covers the importance of accountability and transparency in AI systems, including how to establish clear responsibilities, ensure transparency in decision-making, and provide recourse for users.
This module covers the broader societal impacts of AI systems, including their effects on employment, education, and healthcare. Students will learn how to apply human-centered design principles to create AI systems that are both effective and responsible.
Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.
Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.
Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.
Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.
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