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Syllabus
Qu'est-ce que la sécurité de l'IA et pourquoi est-elle importante ?
Ce module vous présente les concepts fondamentaux de la sécurité de l'IA. Vous apprendrez pourquoi il est indispensable de sécuriser les systèmes d'IA de nos jours et comprendrez comment fonctionne l'IA de manière générale. Vous découvrirez les différentes façons d'interagir avec l'IA et comment cela affecte la sécurité.
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Syllabus
Qu'est-ce que la sécurité de l'IA et pourquoi est-elle importante ?
Ce module vous présente les concepts fondamentaux de la sécurité de l'IA. Vous apprendrez pourquoi il est indispensable de sécuriser les systèmes d'IA de nos jours et comprendrez comment fonctionne l'IA de manière générale. Vous découvrirez les différentes façons d'interagir avec l'IA et comment cela affecte la sécurité.
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Présentation de la sécurité dans le monde de l'IA.
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Learners who complete Présentation de la sécurité dans le monde de l'IA will develop knowledge and skills
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Reading list
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Provides a philosophical and technical exploration of AI safety and security. It examines the ethical implications, potential risks, and governance mechanisms for AI systems.
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This practical guide focuses on the business aspects of AI security. It provides actionable steps and strategies for organizations to protect their AI assets and mitigate risks.
Provides a comprehensive and accessible introduction to AI security for a non-technical audience. It covers the key concepts, challenges, and future directions in this field.
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Explores the interplay between AI security and data privacy. It examines the legal and ethical considerations, as well as the technical measures, for protecting sensitive data in AI systems.
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A non-technical book that explores the global AI landscape, the impact of AI on society, and the ethical challenges that arise from the rapid development of AI technologies.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A free online book that provides a gentle introduction to machine learning, covering topics such as linear regression, logistic regression, and neural networks. Suitable for beginners with no prior knowledge of AI or machine learning.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.
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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
Provides a broad overview of computer security, making it suitable for both beginners and experienced professionals to update their skills.
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Is recommended for students looking to pursue a career in IT security and is an excellent start for those looking to attain security certifications.
Provides an overview of both the technical and non-technical aspects of computer security and great choice for beginners.
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Similar courses
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
November 3, 2025
- December 1, 2025
Language
Français
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