Responsible AI for Developers
Offered By: Google Cloud via Coursera
Course Description
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.
Throughout the courses, you will learn how to:
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
Course 1: Responsible AI for Developers: Fairness & Bias
- Offered by Google Cloud. This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify ... Enroll for free.
Course 2: Responsible AI for Developers: Interpretability & Transparency
- Offered by Google Cloud. This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI ... Enroll for free.
Course 3: Responsible AI for Developers: Privacy & Safety
- Offered by Google Cloud. This course introduces important topics of AI privacy and safety. It explores practical methods and tools to ... Enroll for free.
- Offered by Google Cloud. This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify ... Enroll for free.
Course 2: Responsible AI for Developers: Interpretability & Transparency
- Offered by Google Cloud. This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI ... Enroll for free.
Course 3: Responsible AI for Developers: Privacy & Safety
- Offered by Google Cloud. This course introduces important topics of AI privacy and safety. It explores practical methods and tools to ... Enroll for free.
Courses
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
Taught by
Google Cloud Training
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