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Introduction to Responsible AI - Français

Google Cloud Training

Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce qu'est l'IA responsable, souligne son importance et décrit comment Google l'implémente dans ses produits. Il présente également les sept principes de l'IA de Google.

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What's inside

Syllabus

Introduction à l'IA responsable
Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce qu'est l'IA responsable, souligne son importance et décrit comment Google l'implémente dans ses produits. Il présente également les sept principes de l'IA de Google.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces the ethics of AI, which is useful for personal growth and development
Delves into the principles of Google's AI, which is highly relevant to industry
Builds a foundation for beginners in the concepts of AI
Features recognized experts from Google, indicating a strong reputation in the field of AI
Part of a series of courses, suggesting comprehensiveness and depth in the study of AI

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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 - Français with these activities:
Trouvez un mentor expérimenté en IA responsable
Vous aider à trouver un guide compétent pour vous conseiller et vous soutenir tout au long de votre parcours d'apprentissage
Show steps
  • Identifiez vos objectifs et vos besoins
  • Faites des recherches sur les experts en IA responsable
  • Contactez des mentors potentiels et demandez leur mentorat
Participez à des forums de discussion
Vous aider à approfondir votre compréhension de l'IA responsable en discutant et en interagissant avec d'autres personnes intéressées par le sujet
Show steps
  • Rejoignez des forums ou des groupes de discussion en ligne sur l'IA responsable
  • Participez activement aux discussions et posez des questions
  • Partagez vos propres connaissances et expériences
Analysez des études de cas sur l'IA responsable
Vous aider à appliquer les principes de l'IA responsable à des situations réelles
Show steps
  • Trouvez des études de cas sur l'IA responsable
  • Analysez les cas pour identifier les principes d'IA responsables appliqués
  • Réfléchissez aux implications éthiques de chaque étude de cas
Three other activities
Expand to see all activities and additional details
Show all six activities
Créez un article de blog sur l'IA responsable
Vous aider à synthétiser vos connaissances et à améliorer votre compréhension de l'IA responsable
Show steps
  • Choisissez un sujet spécifique lié à l'IA responsable
  • Faites des recherches approfondies sur le sujet
  • Rédigez un article de blog clair et concis qui explique le sujet et son importance
Participez à des concours sur l'IA responsable
Vous aider à tester vos connaissances et à comparer vos compétences avec d'autres personnes dans le domaine
Show steps
  • Trouvez des concours ou des compétitions sur l'IA responsable
  • Préparez-vous en révisant les principes et les concepts d'IA responsable
  • Participez au concours et faites de votre mieux
Devenez mentor pour les débutants en IA responsable
Vous aider à renforcer vos connaissances et à développer vos compétences en leadership
Show steps
  • Trouvez des personnes intéressées par l'apprentissage de l'IA responsable
  • Offrez votre aide et votre soutien
  • Partagez vos connaissances et vos expériences

Career center

Learners who complete Introduction to Responsible AI - Français will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists devise machine learning and AI models, and with the help of this course, you will be able to ensure that they are responsible and in line with ethical guidelines and best practices.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers design and build AI systems. This course will equip you with the knowledge and skills to make informed decisions while designing AI systems, ensuring alignment with ethical principles and best practices.
See salaries and explore the career path for Machine Learning Engineer
AI Engineer
AI Engineers will find this course invaluable for building responsible AI systems that adhere to ethical guidelines and best practices. The course delves into the principles of responsible AI, empowering you to make informed decisions and contribute to the ethical development and deployment of AI.
See salaries and explore the career path for AI Engineer
AI Researcher
AI Researchers explore the frontiers of AI technology. This course provides a solid foundation in responsible AI, ensuring that your research aligns with ethical principles and promotes the beneficial development of AI.
See salaries and explore the career path for AI Researcher
Data Analyst
Data Analysts may find this course helpful in understanding the ethical implications of AI. It sheds light on the principles of responsible AI, enabling you to analyze data with an ethical lens and contribute to the responsible development of AI systems.
See salaries and explore the career path for Data Analyst
Software Engineer
Software Engineers designing AI-powered software will find this course beneficial. It provides insights into responsible AI, enabling you to build software that adheres to ethical principles and mitigates potential risks associated with AI.
See salaries and explore the career path for Software Engineer
Product Manager
Product Managers responsible for AI-related products will gain valuable knowledge from this course. It covers responsible AI principles, empowering you to make informed decisions during product development and ensure that AI products align with ethical standards.
See salaries and explore the career path for Product Manager
Data Architect
Data Architects designing AI-driven data architectures may find this course helpful. It provides guidance on responsible AI, enabling you to design data architectures that support ethical and responsible use of AI.
See salaries and explore the career path for Data Architect
Data Engineer
Data Engineers working with AI-related data will benefit from this course. It sheds light on responsible AI principles, allowing you to manage and process data ethically and responsibly, supporting the development of AI systems that align with ethical standards.
See salaries and explore the career path for Data Engineer
AI Policy Advisor
AI Policy Advisors guide organizations on AI-related policies. This course introduces responsible AI principles, providing you with a solid understanding to inform policy development and ensure that AI policies promote ethical and responsible use of AI.
See salaries and explore the career path for AI Policy Advisor
AI Auditor
AI Auditors play a critical role in ensuring the responsible development and deployment of AI systems. This course provides a foundation in responsible AI, equipping you with the knowledge and skills to effectively audit AI systems and assess their alignment with ethical principles.
See salaries and explore the career path for AI Auditor
AI Ethicist
AI Ethicists delve into the ethical implications of AI. This course offers a comprehensive overview of responsible AI, equipping you with the knowledge and tools to analyze ethical issues, develop ethical guidelines, and contribute to the ethical development and deployment of AI.
See salaries and explore the career path for AI Ethicist
AI Lawyer
AI Lawyers specialize in legal issues related to AI. This course provides a foundation in responsible AI, enabling you to understand the legal implications of AI and advise clients on AI-related matters.
See salaries and explore the career path for AI Lawyer
AI Consultant
AI Consultants advise organizations on AI adoption and implementation. This course provides insights into responsible AI, equipping you to guide organizations in developing and deploying AI systems that align with ethical principles and best practices.
See salaries and explore the career path for AI Consultant
AI Project Manager
AI Project Managers oversee AI projects. This course introduces responsible AI principles, helping you lead AI projects effectively, ensuring alignment with ethical considerations and project goals.
See salaries and explore the career path for AI Project Manager

Reading list

We've selected eight 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 - Français.
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable reference for those interested in gaining a deeper understanding of the technical foundations of deep learning.
(English) Deep Learning
Paperback
$$$
(English) Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
(English) Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Natural Language Processing with PyTorch
Save
Provides a practical guide to natural language processing using PyTorch, covering topics such as text classification, sentiment analysis, and machine translation. It valuable reference for those interested in applying natural language processing to real-world problems.
(English) Natural Language Processing with PyTorch: Build...
Paperback
$$$
(Deutsch) Natural Language Processing mit PyTorch:...
Kindle Edition
$$
(中文) Based on natural language processing...
Paperback
$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides a practical guide to machine learning using Scikit-Learn, Keras, and TensorFlow, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable reference for those interested in applying machine learning to real-world problems.
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It valuable reference for those interested in gaining a deeper understanding of the statistical foundations of AI.
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Mathematics for Machine Learning
Save
Provides a comprehensive overview of the mathematics used in machine learning, covering topics such as linear algebra, calculus, and probability. It valuable reference for those interested in gaining a deeper understanding of the mathematical foundations of AI.
(English) Mathematics for Machine Learning
Kindle Edition
$$
Cover image
Introduction to Artificial Intelligence
Save
Provides a comprehensive overview of AI, covering topics such as knowledge representation, reasoning, and planning. It valuable reference for those interested in gaining a deeper understanding of the theoretical foundations of AI.
Introduction to Artificial Intelligence
Paperback
Check
Introduction to Artificial Intelligence
Kindle Edition
Check
Cover image
The Quest for Artificial Intelligence
Save
Provides a comprehensive overview of AI, covering topics such as search, logic, and knowledge representation. It valuable reference for those interested in gaining a deeper understanding of the theoretical foundations of AI.
The Quest for Artificial Intelligence
Paperback
Check
The Quest for Artificial Intelligence
Kindle Edition
Check
Cover image
Data Analytics & Visualization All-in-One For...
Save
Provides a gentle introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable reference for those interested in gaining a basic understanding of AI.
(English) Data Analytics & Visualization All-in-One For...
Paperback
$$
(English) Data Analytics & Visualization All-in-One For...
Kindle Edition
$$

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Course image
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Français
Good to know
Introduces the ethics of AI, which is useful for personal growth and development
Delves into the principles of Google's AI, which is highly relevant to industry
Builds a foundation for beginners in the concepts of AI
Features recognized experts from Google, indicating a strong reputation in the field of AI
Part of a series of courses, suggesting comprehensiveness and depth in the study of AI
Share and help others discover this course
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