Start your journey into responsible ai with foundational concepts and hands-on exercises designed for newcomers.
Start now · step 1 of 9
Varies by topic; basics usually sufficient
Some programming experience helpful
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IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
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An introductory course explaining the importance of responsible AI and how Google implements it in its products. It covers Google's 7 AI principles, providing a high-level understanding of ethical feature use.
This course explores the ethical challenges and complexities of AI's role in mental health, covering topics like bias, misinformation, privacy, and patient safety. It delves into advancements in computing, social robotics, and NLP techniques used in mental health analysis. The course is designed for mental health professionals, policymakers, and tech leaders.
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Start your journey into responsible ai with foundational concepts and hands-on exercises designed for newcomers.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Identify and mitigate bias in AI systems; Apply fairness metrics to evaluate models; Design AI systems with transparency in mind.
About 2 hours of study across 9 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
9 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.