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Google Cloud Training

Discover what Responsible AI is, why it's important, and how Google implements it in their products with Udacity's Google Cloud Introduction to Responsible AI.

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What's inside

Syllabus

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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
For the curious in a subfield of Artificial Intelligence (AI) with newer inventions and groundbreaking discoveries Responsible AI, this Google Cloud course is a trusty choice
Suitable as an introductory course for complete novices
Responsible AI manages to combine microlearning with responsible application to introduce Responsible AI
This micro-learning course tactfully scopes parameters of Responsible AI to relieve learners of intimidation often associated with AI
For persons in tech or policy circles, this course sets a firm grounding of the intersection of AI and ethics
Given the introductory nature of the course, this course may not be the most comprehensive treatment

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Responsible AI with Google Cloud with these activities:
Review Course Materials
Reviewing the course materials in advance will help you solidify your understanding of key concepts.
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  • Go over the course syllabus and make note of the topics that will be covered.
  • Read through the assigned readings and make notes on the key points.
  • Watch any introductory videos or lectures that are available.
Review Background Material
Reading this book will help you develop a stronger foundational understanding of Responsible AI.
Show steps
  • Obtain a copy of the book.
  • Begin reading the book, taking notes as you go.
  • Complete the book and review your notes.
Follow Online Tutorials
Following online tutorials will give you a more in-depth understanding of Responsible AI principles.
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  • Search for online tutorials on Responsible AI.
  • Choose a tutorial that is appropriate for your level of knowledge.
  • Follow the tutorial step-by-step.
  • Complete any exercises or assignments that are included in the tutorial.
Five other activities
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Practice Using AI Tools
Practicing using real-world tools will help you master Responsible AI techniques.
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  • Identify a specific AI tool that you want to practice using.
  • Find a tutorial or online resource that teaches you how to use the tool.
  • Follow the tutorial and complete the exercises.
  • Experiment with the tool on your own to get more comfortable using it.
Attend a Workshop
Attending a workshop will allow you to learn from experts in the field of Responsible AI and network with other professionals.
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  • Search for workshops on Responsible AI in your area.
  • Choose a workshop that is relevant to your interests and career goals.
  • Register for the workshop and attend all of the sessions.
Create a Resource List
Creating a resource list will help you organize and expand your knowledge of Responsible AI.
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  • Gather resources on Responsible AI from a variety of sources, such as books, articles, websites, and videos.
  • Organize the resources into a logical structure, such as by topic or type.
  • Create a document or spreadsheet that includes the resources and their descriptions.
Write a Blog Post
Writing a blog post will allow you to synthesize your knowledge of Responsible AI and apply it to a real-world scenario.
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  • Choose a topic for your blog post that is related to Responsible AI.
  • Research your topic and gather information from credible sources.
  • Write a draft of your blog post, including an introduction, body, and conclusion.
  • Edit and revise your blog post, ensuring that it is clear, concise, and engaging.
  • Publish your blog post on a platform of your choice.
Participate in a Hackathon
Participating in a hackathon will challenge you to apply your knowledge of Responsible AI to solve a real-world problem.
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  • Find a hackathon that is focused on Responsible AI.
  • Form a team or work individually on a project that addresses the hackathon's theme.
  • Develop and implement your project.
  • Submit your project to the hackathon judges.

Career center

Learners who complete Introduction to Responsible AI with Google Cloud will develop knowledge and skills that may be useful to these careers:
AI Engineer
An AI Engineer builds, deploys, and maintains artificial intelligence models. These models can be used for a variety of tasks, such as image recognition, natural language processing, and predictive analytics. The Google Cloud Introduction to Responsible AI course can help you build a foundation in responsible AI principles and practices. Responsible AI is becoming increasingly important as AI models are used in more and more applications.
AI Researcher
An AI Researcher develops new AI algorithms and techniques. These algorithms and techniques can be used to solve a variety of problems, such as improving the accuracy of facial recognition systems or developing new methods for natural language processing. The Google Cloud Introduction to Responsible AI course can help you build a foundation in the ethical and responsible development of AI systems.
Data Scientist
A Data Scientist uses data to solve business problems. Data Scientists use a variety of statistical and machine learning techniques to analyze data and develop predictive models. The Google Cloud Introduction to Responsible AI course can help you build a foundation in responsible AI principles and practices. Responsible AI is becoming increasingly important as data is used in more and more applications.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. Machine learning models can be used for a variety of tasks, such as fraud detection, customer churn prediction, and image recognition. The Google Cloud Introduction to Responsible AI course can help you build a foundation in responsible AI principles and practices. Responsible AI is becoming increasingly important as machine learning models are used in more and more applications.
Product Manager
A Product Manager is responsible for the development and launch of new products. Product Managers work with engineers, designers, and marketers to bring new products to market. The Google Cloud Introduction to Responsible AI course can help Product Managers understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more products.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. Software Engineers work with a variety of programming languages and technologies to build software that meets the needs of users. The Google Cloud Introduction to Responsible AI course can help Software Engineers build a foundation in responsible AI principles and practices. Responsible AI is becoming increasingly important as software is used in more and more applications.
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. Consultants work with organizations to identify and solve problems and develop solutions. The Google Cloud Introduction to Responsible AI course can help Consultants understand the ethical and responsible development of AI solutions. Responsible AI is becoming increasingly important as AI is used in more and more business applications.
Business Analyst
A Business Analyst helps organizations improve their business processes. Business Analysts work with stakeholders to identify and analyze business problems and develop solutions. The Google Cloud Introduction to Responsible AI course can help Business Analysts understand the ethical and responsible development of AI solutions. Responsible AI is becoming increasingly important as AI is used in more and more business applications.
Data Analyst
A Data Analyst collects, analyzes, and interprets data. Data Analysts use a variety of statistical and data visualization techniques to identify trends and patterns in data. The Google Cloud Introduction to Responsible AI course can help Data Analysts understand the ethical and responsible use of data. Responsible AI is becoming increasingly important as data is used in more and more applications.
Project Manager
A Project Manager plans, executes, and closes projects. Project Managers work with stakeholders to define project scope, develop project plans, and track project progress. The Google Cloud Introduction to Responsible AI course can help Project Managers understand the ethical and responsible development of AI projects. Responsible AI is becoming increasingly important as AI is used in more and more projects.
UX Designer
A UX Designer designs user interfaces for websites and other digital products. UX Designers work with users to understand their needs and develop designs that are easy to use and enjoyable. The Google Cloud Introduction to Responsible AI course can help UX Designers understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more products.
Technical Writer
A Technical Writer creates and maintains technical documentation. Technical Writers work with engineers and other technical professionals to document software, hardware, and other technical products. The Google Cloud Introduction to Responsible AI course can help Technical Writers understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more products.
Salesperson
A Salesperson sells products and services to customers. Salespeople work with customers to understand their needs and develop solutions that meet those needs. The Google Cloud Introduction to Responsible AI course can help Salespeople understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more products and services.
Marketer
A Marketer develops and executes marketing campaigns to promote products and services. Marketers work with a variety of marketing channels to reach target audiences. The Google Cloud Introduction to Responsible AI course can help Marketers understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more marketing campaigns.
Customer Success Manager
A Customer Success Manager helps customers achieve success with a product or service. Customer Success Managers work with customers to identify and resolve problems, and develop strategies for using the product or service effectively. The Google Cloud Introduction to Responsible AI course can help Customer Success Managers understand the ethical and responsible development of AI products. Responsible AI is becoming increasingly important as AI is used in more and more products and services.

Reading list

We've selected ten 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 with Google Cloud.
Provides a comprehensive overview of the field of reinforcement learning, which subfield of AI that is concerned with teaching agents how to learn from their mistakes.
Provides a comprehensive overview of the ethical and societal implications of AI, and offers a framework for developing AI systems that are aligned with human values.
Provides a comprehensive overview of the impact of AI on society, and offers a range of strategies for ensuring that AI is used for good.
Provides a comprehensive overview of the potential risks and benefits of AI, and offers a range of strategies for ensuring that AI is used for good.
Provides a comprehensive overview of the potential impact of AI on the economy and society.
Provides a thought-provoking exploration of the future of humanity and the potential impact of AI.
Provides a comprehensive overview of the field of deep learning, which subfield of AI that has been responsible for many of the recent advances in AI.

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