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Introduction to Responsible AI
Google Cloud Training
Google Cloud Training
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
Register for this course and see more details by visiting:
OpenCourser.com/course/7yyjxx/introduction
What's inside
Syllabus
Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Geared toward learners eager to comprehend the basic ideas of responsible AI
Excellent option for learners interested in the ethical implications of artificial intelligence
Great starting point for learners who want to explore the practical applications of responsible AI
Appropriate for learners curious about Google's approach to implementing responsible AI principles
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Activities
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Introduction to Responsible AI.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introduction to Responsible AI will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can help you develop the necessary skills to become a Machine Learning Engineer by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of designing and developing AI systems that are fair, unbiased, and beneficial to society.
AI Trainer
AI Trainer
An AI Trainer builds and trains machine learning models. It is an in-demand position in various industries, including tech, finance, and healthcare. This course can help you develop the necessary skills to become an AI Trainer by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of designing and developing AI systems that are fair, unbiased, and beneficial to society.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use machine learning and other techniques to analyze data and develop insights. This course can help you develop the necessary skills to become a Data Scientist by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of using data responsibly and ethically.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you develop the necessary skills to become a Software Engineer by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of designing and developing software systems that are secure, reliable, and efficient.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course can help you develop the necessary skills to become a Product Manager by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of designing and developing products that are useful, usable, and desirable.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. They work in academia and industry to push the boundaries of AI. This course can help you develop the necessary skills to become an AI Researcher by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of developing AI systems that are fair, unbiased, and beneficial to society.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data. They use their findings to help businesses make better decisions. This course can help you develop the necessary skills to become a Data Analyst by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of using data responsibly and ethically.
Business Analyst
Business Analyst
Business Analysts help businesses improve their operations. They use data and analysis to identify areas for improvement. This course can help you develop the necessary skills to become a Business Analyst by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of using data responsibly and ethically.
Project Manager
Project Manager
Project Managers oversee the development and implementation of new projects. They work with stakeholders to ensure that projects are completed on time and within budget. This course can help you develop the necessary skills to become a Project Manager by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of managing projects responsibly and ethically.
Consultant
Consultant
Consultants help businesses solve problems and improve their operations. They use their expertise to provide advice and guidance. This course can help you develop the necessary skills to become a Consultant by providing you with a solid foundation in responsible AI and Google's AI principles. You will learn about the importance of using your knowledge and expertise to help businesses succeed.
For more career information including salaries, visit:
OpenCourser.com/course/7yyjxx/introduction
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Responsible AI.
Explores the ethical implications of AI, including issues such as privacy, bias, and accountability. It must-read for anyone who wants to understand the societal impact of AI.
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Explores the safety and security risks of AI. It covers topics such as adversarial attacks, malware, and autonomous weapons.
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Provides a comprehensive overview of the field of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a practical introduction to the field of data science. It covers topics such as data cleaning, data analysis, and data visualization.
Provides a hands-on introduction to the field of machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a hands-on introduction to the field of machine learning using R. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a hands-on introduction to the field of deep learning using Python. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7yyjxx/introduction
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Good to know
Geared toward learners eager to comprehend the basic ideas of responsible AI
Excellent option for learners interested in the ethical implications of artificial intelligence
Great starting point for learners who want to explore the practical applications of responsible AI
Appropriate for learners curious about Google's approach to implementing responsible AI principles
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