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Responsible AI for Developers Specialization

Toronto, North America

The Non-degree in Responsible AI for Developers Specialization at Google Cloud is a program for international students taught in English.

📖 Introduction

​Google Cloud is a public, private cloud computing services provider that offers a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Google Cloud, a subsidiary of Alphabet Inc., was officially launched in 2008. It is renowned for its innovative technologies, including data analytics, machine learning, and artificial intelligence, as well as its global network infrastructure, which ensures low latency and high availability. Google Cloud distinguishes itself with its commitment to sustainability, operating the cleanest cloud in the industry with the largest corporate purchase of renewable energy.

📚 About the Program

Specialization - 3 course seriesThis 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.Applied Learning ProjectThroughout the courses, you will perform hands-on projects, including :Bias mitigation using the TensorFlow Model Remediation libraryExplainable AI techniques with Google Cloud Vertex AIPrivacy-preserving machine learning training with DP-SGDSafeguarding Generative AI systems with Gemini

Specialization - 3 course seriesThis 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.Applied Learning ProjectThroughout the courses, you will perform hands-on projects, including :Bias mitigation using the TensorFlow Model Remediation libraryExplainable AI techniques with Google Cloud Vertex AIPrivacy-preserving machine learning training with DP-SGDSafeguarding Generative AI systems with Gemini

🏫 About the University

Google Cloud provides a range of services including computing, data storage, data analytics, and machine learning. It offers tools like Google Cloud Platform (GCP), which provides a robust environment for developers to build, test, and deploy applications. Additionally, Google Cloud includes G Suite (now known as Google Workspace), a collection of productivity and collaboration tools such as Gmail, Docs, Drive, and Calendar. Google Cloud is designed to provide organizations with the tools they need to drive innovation, improve operational efficiency, and scale their services securely and reliably. Its client base spans various industries, including financial services, healthcare, retail, and education.

💰 Fees

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$0 USD

Tuition Fee

$49 USD

$49 USD

per year

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