In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus.
The development of AI has created new opportunities to improve the lives of people around the world, from business to healthcare to education. It has also raised new questions about the best way to build fairness, interpretability, privacy, and safety into these systems.
In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.
Machine learning practitioners and AI application developers wanting to leverage generative AI in a responsible manner.
Students will learn,
Module 1: AI Principles and Responsible AI
Module 2: Fairness in AI
Module 3: Interpretability of AI
Module 4: Privacy in ML
Module 5: AI Safety
Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.