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Introduction to Responsible AI - Português Brasileiro
Google Cloud Training
Google Cloud Training
Este é um curso de microaprendizagem introdutório que busca explicar a IA responsável: o que é, qual é a importância dela e como ela é aplicada nos produtos do Google. Ele também contém os 7 princípios de IA do Google.
Register for this course and see more details by visiting:
OpenCourser.com/course/7pzdi4/introduction
What's inside
Syllabus
Introdução a IA Responsável
Este é um curso de microaprendizagem introdutório que busca explicar a IA responsável: o que é, qual é a importância dela e como ela é aplicada nos produtos do Google. Ele também contém os 7 princípios de IA do Google.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ensina os sete princípios de IA do Google, que são padrão na indústria de tecnologia
Oferece uma introdução abrangente à IA responsável, cobrindo seus fundamentos e aplicações
Explica o conceito de IA responsável e sua importância em produtos e serviços
Ensinado pelo Google Cloud Training, reconhecido por sua experiência em IA e aprendizado de máquina
Curso curto, com duração de cerca de algumas horas, o que o torna acessível para iniciantes
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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 - Português Brasileiro with these
activities:
Revise basics of machine learning
Show steps
Lay a strong foundation for the course by refreshing your understanding of fundamental machine learning concepts.
Browse courses on
Machine Learning Basics
Show steps
-
Review key machine learning algorithms such as linear regression, logistic regression, and decision trees.
-
Brush up on basic concepts like supervised learning, unsupervised learning, and model evaluation.
-
Complete practice exercises to test your understanding of these concepts.
Explore Google's AI Platform
Show steps
Get hands-on experience with Google's AI tools by following guided tutorials.
Browse courses on
Google AI Platform
Show steps
-
Sign up for a free trial of Google AI Platform.
-
Follow the tutorials on building and deploying machine learning models.
-
Experiment with different AI services and features.
Solve AI case studies
Show steps
Apply your knowledge to real-world scenarios by solving AI case studies.
Show steps
-
Read through case studies that present real-life AI challenges.
-
Analyze the problem statement and identify the appropriate AI techniques.
-
Develop and implement a solution using your preferred AI tools.
One other activity
Expand to see all activities and additional details
Show all four activities
Participate in AI competitions
Show steps
Challenge yourself and test your skills by participating in AI competitions.
Show steps
-
Identify AI competitions that align with your interests and skill level.
-
Form a team or collaborate with others.
-
Develop and submit your AI solution.
Revise basics of machine learning
Show steps
Lay a strong foundation for the course by refreshing your understanding of fundamental machine learning concepts.
Browse courses on
Machine Learning Basics
Show steps
Show steps
Show steps
- Review key machine learning algorithms such as linear regression, logistic regression, and decision trees.
- Brush up on basic concepts like supervised learning, unsupervised learning, and model evaluation.
- Complete practice exercises to test your understanding of these concepts.
Explore Google's AI Platform
Show steps
Get hands-on experience with Google's AI tools by following guided tutorials.
Browse courses on
Google AI Platform
Show steps
Show steps
Show steps
- Sign up for a free trial of Google AI Platform.
- Follow the tutorials on building and deploying machine learning models.
- Experiment with different AI services and features.
Solve AI case studies
Show steps
Apply your knowledge to real-world scenarios by solving AI case studies.
Show steps
Show steps
Show steps
- Read through case studies that present real-life AI challenges.
- Analyze the problem statement and identify the appropriate AI techniques.
- Develop and implement a solution using your preferred AI tools.
One other activity
Expand to see all activities and additional details
Show all four activities
Participate in AI competitions
Show steps
Challenge yourself and test your skills by participating in AI competitions.
Show steps
Show steps
Show steps
- Identify AI competitions that align with your interests and skill level.
- Form a team or collaborate with others.
- Develop and submit your AI solution.
Career center
Learners who complete Introduction to Responsible AI - Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
An AI Engineer is responsible for designing, developing, and maintaining AI systems. They work with data scientists and engineers to develop and deploy AI models that meet the needs of organizations. This course is a great introduction to the principles of responsible AI, which are essential for developing AI systems that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI systems you develop are used for good.
AI Researcher
AI Researcher
An AI Researcher is responsible for developing new AI algorithms and techniques. They work with academic and industry partners to push the boundaries of AI and develop new solutions to real-world problems. This course is a great introduction to the principles of responsible AI, which are essential for developing AI algorithms and techniques that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI algorithms and techniques you develop are used for good.
AI Consultant
AI Consultant
An AI Consultant is responsible for advising organizations on the development and use of AI. They work with organizations to identify and mitigate risks and ensure that AI is used in a safe and responsible manner. This course is a great introduction to the principles of responsible AI, which are essential for developing AI consulting services that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI consulting services you develop are used for good.
AI Product Manager
AI Product Manager
An AI Product Manager is responsible for managing the development and launch of AI products. They work with engineers, designers, and marketers to ensure that AI products meet the needs of users and are successful in the marketplace. This course is a great introduction to the principles of responsible AI, which are essential for developing AI products that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI products you develop are used for good.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and maintaining machine learning models. They work with data scientists to identify and collect the necessary data, and then use their expertise in machine learning algorithms to develop models that can solve specific problems. This course is a great introduction to the principles of responsible AI, which are essential for developing machine learning models that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the machine learning models you develop are used for good.
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to help organizations make better decisions. They use their expertise in statistics, machine learning, and data mining to extract insights from data and communicate these insights to stakeholders in a clear and concise way. This course is a great introduction to the principles of responsible AI, which are essential for developing data science solutions that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the data science solutions you develop are used for good.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of users and are successful in the marketplace. This course is a great introduction to the principles of responsible AI, which are essential for developing products that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the products you develop are used for good.
Privacy Analyst
Privacy Analyst
A Privacy Analyst is responsible for protecting the privacy of individuals. They work with organizations to identify and mitigate risks and ensure that personal data is collected, used, and stored in a compliant and ethical manner. This course is a great introduction to the principles of responsible AI, which are essential for developing privacy solutions that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the privacy solutions you develop are used for good.
AI Ethicist
AI Ethicist
An AI Ethicist is responsible for ensuring that AI is developed and used in an ethical and responsible manner. They work with organizations to identify and mitigate risks and ensure that AI systems are aligned with human values. This course is a great introduction to the principles of responsible AI, which are essential for developing AI systems that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI systems you develop are used for good.
AI Policy Analyst
AI Policy Analyst
An AI Policy Analyst is responsible for developing and implementing policies that govern the development and use of AI. They work with governments and other organizations to ensure that AI is used in a safe and responsible manner. This course is a great introduction to the principles of responsible AI, which are essential for developing AI policies that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the AI policies you develop are used for good.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They work with stakeholders to understand their needs and then use their expertise in business analysis to develop solutions that meet those needs. This course is a great introduction to the principles of responsible AI, which are essential for developing business solutions that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the business solutions you develop are used for good.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with users to understand their needs and then use their expertise in software development to create applications that meet those needs. This course is a great introduction to the principles of responsible AI, which are essential for developing software applications that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the software applications you develop are used for good.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data. They use their expertise in statistics and data analysis to extract insights from data and communicate these insights to stakeholders in a clear and concise way. This course is a great introduction to the principles of responsible AI, which are essential for developing data analysis solutions that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the data analysis solutions you develop are used for good.
IT Auditor
IT Auditor
An IT Auditor is responsible for evaluating the security and compliance of IT systems. They work with organizations to identify and mitigate risks and ensure that IT systems are operating in a secure and compliant manner. This course is a great introduction to the principles of responsible AI, which are essential for developing IT systems that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the IT systems you develop are used for good.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is responsible for protecting organizations from cyber threats. They work with organizations to identify and mitigate risks and ensure that information systems are secure. This course is a great introduction to the principles of responsible AI, which are essential for developing information security solutions that are fair, unbiased, and transparent. By taking this course, you can learn how to apply these principles to your own work and help ensure that the information security solutions you develop are used for good.
For more career information including salaries, visit:
OpenCourser.com/course/7pzdi4/introduction
Reading list
We've selected 13 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 - Português Brasileiro.
Este livro aborda questões éticas relacionadas à IA, como privacidade, responsabilidade e discriminação. Ele ajuda os leitores a entender os desafios éticos da IA e a desenvolver estratégias para abordá-los.
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Este livro enfatiza a importância de projetar IA centrada no ser humano, garantindo que os sistemas de IA atendam às necessidades e valores humanos. Ele fornece orientações práticas para incorporar princípios éticos no desenvolvimento de IA.
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Este livro fornece uma visão geral abrangente da IA e seus benefícios potenciais para as empresas. Embora não se concentre especificamente em IA Responsável, ele oferece contexto sobre a importância da IA e seu impacto nas organizações.
Save
Este livro aborda a importância de projetar sistemas de IA centrados no ser humano. Ele fornece orientações sobre como tornar a IA mais acessível, fácil de usar e alinhada com as necessidades humanas.
Este livro explora a interseção entre ciência da computação e psicologia, examinando como os algoritmos influenciam nossas decisões e comportamentos. Ele fornece uma perspectiva única sobre o impacto da IA nas interações humanas.
Este livro oferece uma visão ampla da Quarta Revolução Industrial, incluindo o papel da IA. Embora não se concentre especificamente em IA Responsável, ele fornece contexto sobre as transformações tecnológicas em andamento e seu impacto na sociedade.
Este livro fornece uma introdução prática ao aprendizado profundo. Ele é escrito para desenvolvedores e fornece um caminho rápido para a construção de modelos de aprendizado profundo.
Este livro explora as implicações éticas e sociais mais amplas da IA, discutindo questões como privacidade, manipulação e perda de empregos. Ele fornece uma perspectiva humanística sobre o desenvolvimento e o uso responsável da IA.
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Embora este livro não se concentre diretamente em IA Responsável, ele oferece uma exploração abrangente dos riscos e benefícios potenciais de uma IA superinteligente. É uma leitura complementar valiosa para entender as implicações de longo prazo da IA.
Save
Este livro fornece uma visão abrangente do futuro da IA e seu potencial impacto na sociedade. Embora não se concentre em IA Responsável, ele oferece insights sobre os desafios éticos e as oportunidades que surgem com o avanço da IA.
Save
Este livro-texto abrangente aborda os fundamentos do aprendizado profundo, uma subárea da IA que impulsiona muitos avanços na IA hoje. Embora não se concentre em IA Responsável, ele fornece uma base técnica sólida para entender o funcionamento interno dos sistemas de IA.
Este livro é uma versão concisa do livro 'Artificial Intelligence: A Modern Approach'. Ele fornece uma introdução acessível aos conceitos fundamentais da IA.
Save
Este livro é um guia abrangente para aprendizado de máquina. Ele fornece uma base sólida nos conceitos e algoritmos fundamentais de aprendizado de máquina.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7pzdi4/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Português
Good to know
Ensina os sete princípios de IA do Google, que são padrão na indústria de tecnologia
Oferece uma introdução abrangente à IA responsável, cobrindo seus fundamentos e aplicações
Explica o conceito de IA responsável e sua importância em produtos e serviços
Ensinado pelo Google Cloud Training, reconhecido por sua experiência em IA e aprendizado de máquina
Curso curto, com duração de cerca de algumas horas, o que o torna acessível para iniciantes
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