Overview
This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety.
- Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issues.
- Apply Interpretability Techniques: Gain practical techniques to interpret complex AI models and explain their predictions using Google Cloud and open source tools.
- Prioritize Privacy and Security: Implement privacy-enhancing technologies like differential privacy and federated learning to protect sensitive data and build trust.
- Ensure Generative AI Safety: Understand and apply safety measures to mitigate risks associated with generative AI models.
By the end of this specialization, you will have a comprehensive understanding of responsible AI principles and the practical skills to build AI systems that are ethical, reliable, and beneficial to users.
Syllabus
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