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Artificial Intelligence
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Grow with Google

Responsible AI for Developers: Privacy & Safety

  • up to 5 hours
  • Intermediate

This course covers essential topics related to AI privacy and security, exploring practical tools and methods to implement best practices using Google Cloud products and open-source tools. Completing this course will earn you a badge, showcasing your developed skills to the world.

  • AI Privacy
  • AI Security
  • Machine Learning Tools

Overview

In this course, you will learn about the critical aspects of AI privacy and security. You will explore practical tools and methods to implement recommended practices using Google Cloud products and open-source tools. By the end of the course, you will have a solid understanding of AI privacy and security, enabling you to enhance your career in the cloud industry.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

AI Developers

Developers looking to enhance their understanding of AI privacy and security.

Data Scientists

Data scientists interested in implementing privacy and security best practices in AI.

Cloud Professionals

Professionals working with Google Cloud products seeking to improve AI safety measures.

Gain a comprehensive understanding of AI privacy and security, essential for developers and data scientists working with AI technologies. This course will equip you with the skills to implement best practices using Google Cloud and open-source tools, advancing your career in the cloud industry.

Pre-Requisites

1 / 3

  • Practical knowledge of machine learning concepts and practices

  • Familiarity with machine learning pipelines and tools

  • Experience with programming languages such as SQL and Python

What will you learn?

Introduction to AI Privacy and Security
Define what AI privacy and security entail and their importance in the current technological landscape.
Methods for AI Privacy
Explore the methods used to address AI privacy in data and models, ensuring compliance and protection.
Key Considerations for AI Security
Identify the key considerations for implementing AI security, focusing on safeguarding AI systems.
Techniques for AI Security Implementation
Learn about the techniques used when implementing AI security, enhancing the robustness of AI applications.

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