In this course, award-winning AI researcher Laurence Moroney guides you through how to ensure responsible and ethical AI development. Learn how to collect and preprocess data in ways that maintain privacy and reduce biases. Discover advanced techniques in data augmentation that enhance your datasets while safeguarding against introducing unfairness. Dive into optimizing neural network architectures and learn how to identify and mitigate potential biases in your loss functions and optimization strategies. Explore transfer learning and how to assess and address inherited biases from pre-trained models. By focusing on ethical AI, you can build systems that not only perform well but also serve all user demographics fairly.
This course is part of the learning path Building AI Products: Implementing Responsible AI Professional Certificate by LinkedIn Learning. Complete all courses and pass the final exam to earn a Professional Certificate you can add to your LinkedIn profile.
Learn More