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Andrew Ng
L’IA n’est pas l’apanage des ingénieurs. Si vous souhaitez améliorer les capacités de votre organisation à utiliser de l’IA, vous devriez recommander ce cours à tout votre personnel, en particulier ceux opérant dans des départements non techniques.
Read more
L’IA n’est pas l’apanage des ingénieurs. Si vous souhaitez améliorer les capacités de votre organisation à utiliser de l’IA, vous devriez recommander ce cours à tout votre personnel, en particulier ceux opérant dans des départements non techniques.
Read more
L’IA n’est pas l’apanage des ingénieurs. Si vous souhaitez améliorer les capacités de votre organisation à utiliser de l’IA, vous devriez recommander ce cours à tout votre personnel, en particulier ceux opérant dans des départements non techniques.
Ce cours vous fera découvrir :
- La signification de la terminologie courante de l’IA, y compris les réseaux neuronaux, l’apprentissage automatique, l’apprentissage en profondeur et la science des données
- Ce que l’IA peut réellement faire (et ses limites)
- Comment identifier les occasions d’appliquer l’IA à des problèmes dans votre propre organisation
- Comment créer des projets d’apprentissage automatique et de science des données
- Comment travailler avec une équipe IA et élaborer une stratégie IA dans votre entreprise
- Comment parcourir les discussions éthiques et sociétales autour de l’IA
Bien que ce cours soit très peu technique, les ingénieurs peuvent également le suivre pour découvrir les aspects commerciaux de l’IA.
Register for this course and see more details by visiting:
OpenCourser.com/course/5bpyw5/l'ia
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What's inside
Syllabus
Qu’est-ce que l’IA ?
Élaborer des projets d’IA
Intégrer l’IA dans sa société
Read more
Syllabus
Qu’est-ce que l’IA ?
Élaborer des projets d’IA
Intégrer l’IA dans sa société
Read more
L’IA et la société
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ce cours est destiné aux professionnels non techniques qui souhaitent comprendre l’IA et son impact sur leur secteur d’activité
Le cours est conçu pour fournir une compréhension de base de l’IA, de son fonctionnement et de son application dans le monde réel
Les instructeurs Andrew Ng sont reconnus pour leur expertise et leur expérience dans le domaine de l’IA
Le cours couvre un large éventail de sujets liés à l’IA, y compris l’apprentissage automatique, l’apprentissage en profondeur et la science des données
Le cours est conçu pour être accessible aux personnes ayant peu ou pas de connaissances techniques
Save this course
Save L’IA pour tous to your list so you can find it easily later:
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Reviews summary
Accessible ai overview
Students describe this non-technical course on AI as "perfect," "interesting," and "adorable." Andrew Ng is praised as an excellent instructor with clear and approachable explanations, although the English-only instruction could be a barrier for some learners. Overall, this course is highly recommended for anyone looking to gain a basic understanding of AI, regardless of their technical background.
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 L’IA pour tous with these
activities:
Review basic statistics concepts
Show steps
Reinforce your understanding of fundamental statistics concepts to enhance your comprehension of AI applications and data analysis techniques.
Browse courses on
Statistics
Show steps
-
Revisit probability distributions, central tendencies, and hypothesis testing.
-
Practice solving problems related to these concepts.
Create an infographic on AI terminology
Show steps
Deepen your understanding of AI terminology by visually representing key concepts, enhancing comprehension and retention.
Show steps
-
Compile a list of essential AI terms.
-
Research and gather definitions and explanations.
-
Design and create an infographic that visually presents the terms and their meanings.
Solve practice problems on AI algorithms and techniques
Show steps
Enhance your problem-solving skills and deepen your understanding of AI algorithms and techniques through repetitive exercises.
Browse courses on
AI Algorithms
Show steps
-
Identify online platforms or textbooks offering practice problems.
-
Solve the problems, focusing on accuracy and understanding.
-
Review your solutions and learn from your mistakes.
Three other activities
Expand to see all activities and additional details
Show all six activities
Complete online tutorials on neural networks and deep learning
Show steps
Expand your knowledge of neural networks and deep learning through guided tutorials, reinforcing key concepts and practical applications.
Browse courses on
Neural Networks
Show steps
-
Identify reputable online resources offering tutorials on neural networks and deep learning.
-
Follow the tutorials, taking notes and completing exercises.
-
Apply the concepts in practice through hands-on projects.
Develop an AI solution for a real-world problem
Show steps
Apply your understanding of AI concepts to a practical project, fostering problem-solving skills and reinforcing real-world applications.
Browse courses on
AI Applications
Show steps
-
Identify a problem that can be addressed with AI.
-
Research and select appropriate AI techniques.
-
Implement and evaluate your AI solution.
Volunteer in organizations applying AI for social good
Show steps
Apply your theoretical knowledge to practical applications by volunteering in organizations that leverage AI for social good, fostering a sense of purpose and real-world impact.
Browse courses on
Data Science Ethics
Show steps
-
Identify organizations that use AI to address social issues.
-
Contact the organizations and inquire about volunteer opportunities.
-
Participate in projects, assist with data analysis, or contribute to AI-powered solutions.
Review basic statistics concepts
Show steps
Reinforce your understanding of fundamental statistics concepts to enhance your comprehension of AI applications and data analysis techniques.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Revisit probability distributions, central tendencies, and hypothesis testing.
- Practice solving problems related to these concepts.
Create an infographic on AI terminology
Show steps
Deepen your understanding of AI terminology by visually representing key concepts, enhancing comprehension and retention.
Show steps
Show steps
Show steps
- Compile a list of essential AI terms.
- Research and gather definitions and explanations.
- Design and create an infographic that visually presents the terms and their meanings.
Solve practice problems on AI algorithms and techniques
Show steps
Enhance your problem-solving skills and deepen your understanding of AI algorithms and techniques through repetitive exercises.
Browse courses on
AI Algorithms
Show steps
Show steps
Show steps
- Identify online platforms or textbooks offering practice problems.
- Solve the problems, focusing on accuracy and understanding.
- Review your solutions and learn from your mistakes.
Three other activities
Expand to see all activities and additional details
Show all six activities
Complete online tutorials on neural networks and deep learning
Show steps
Expand your knowledge of neural networks and deep learning through guided tutorials, reinforcing key concepts and practical applications.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Identify reputable online resources offering tutorials on neural networks and deep learning.
- Follow the tutorials, taking notes and completing exercises.
- Apply the concepts in practice through hands-on projects.
Develop an AI solution for a real-world problem
Show steps
Apply your understanding of AI concepts to a practical project, fostering problem-solving skills and reinforcing real-world applications.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Identify a problem that can be addressed with AI.
- Research and select appropriate AI techniques.
- Implement and evaluate your AI solution.
Volunteer in organizations applying AI for social good
Show steps
Apply your theoretical knowledge to practical applications by volunteering in organizations that leverage AI for social good, fostering a sense of purpose and real-world impact.
Browse courses on
Data Science Ethics
Show steps
Show steps
Show steps
- Identify organizations that use AI to address social issues.
- Contact the organizations and inquire about volunteer opportunities.
- Participate in projects, assist with data analysis, or contribute to AI-powered solutions.
Career center
Learners who complete L’IA pour tous will develop knowledge and skills
that may be useful to these careers:
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their organization's operations. Additionally, the course can help Operations Managers to identify and solve operational problems using AI.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their organization's marketing efforts. Additionally, the course can help Marketing Managers to identify and solve marketing problems using AI.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts provide decision-makers with timely and accurate information to help them make better decisions. L'IA pour tous may be beneficial for Business Intelligence Analysts, as it can help them develop a better understanding of the potential of AI to improve their organization's decision-making process. Additionally, the course can provide Business Intelligence Analysts with a foundation in the use of AI to identify and solve business problems.
Computer Scientist
Computer Scientist
Computer Scientists design, develop, and evaluate computer systems and applications. L'IA pour tous may be useful for those in this field, as it can help them build a foundation in the use of AI to identify opportunities and solve problems in their organization. Additionally, the course can help Computer Scientists to learn about the ethical and societal impacts of AI, which can be valuable given the increasing use of AI in various sectors.
Human Resources Manager
Human Resources Manager
Human Resources Managers develop and manage HR policies and programs. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their organization's HR practices. Additionally, the course can help Human Resources Managers to identify and solve HR problems using AI.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models, which are software that can learn from data and make predictions or decisions. L'IA pour tous may be useful for those in this field, as it can help them build a foundation in the use of AI to identify opportunities and solve problems in their organization. Additionally, the course can help those in this field learn about the ethics and societal impacts of AI, which can be valuable given the increasing use of AI in various sectors.
Business Analyst
Business Analyst
Business Analysts analyze business problems and design solutions using a variety of techniques, including data analysis, process mapping, and stakeholder interviews. Completion of L'IA pour tous may be useful for Business Analysts, as it can help them to develop a better understanding of the potential of AI to improve their organization's operations. Additionally, the course can help Business Analysts to identify and solve business problems using AI.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their project management practices. Additionally, the course can help Project Managers to identify and solve project management problems using AI.
Sales Manager
Sales Manager
Sales Managers develop and manage sales teams to achieve sales goals. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their organization's sales process. Additionally, the course can help Sales Managers to identify and solve sales problems using AI.
Product Manager
Product Manager
Product Managers develop and manage products to meet customer needs. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the potential of AI to improve their organization's products. Additionally, the course can help Product Managers to identify and solve product management problems using AI.
Investment Analyst
Investment Analyst
Investment Analysts research and evaluate investment opportunities and make recommendations to clients. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the use of AI in the financial industry. Additionally, the course can help Investment Analysts to build a foundation in the use of AI to identify opportunities and solve problems in their organization.
Data Scientist
Data Scientist
Data Scientists use a variety of mathematical and statistical techniques, as well as computer programming, to analyze data, solve complex problems, and make predictions. Completion of L'IA pour tous may be useful for these professionals, as it can help them become more familiar with the underlying concepts of Artificial Intelligence (AI), which is closely related to Data Science. Additionally, the course can help Data Scientists to build a foundation in the use of AI to identify opportunities and solve problems in their organization.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data, and interpret the results to provide actionable insights to decision-makers. Completion of L'IA pour tous may be useful for aspiring Data Analysts, as it can help them to build a foundation in the use of AI to identify opportunities and solve problems in their organization. Additionally, the course can help Data Analysts to understand the potential of AI to transform their field.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to assess the performance of companies and make recommendations to investors. L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the use of AI in the financial industry. Additionally, the course can help Financial Analysts to build a foundation in the use of AI to identify opportunities and solve problems in their organization.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical modeling to analyze financial data and make investment decisions. Completion of L'IA pour tous may be useful for those in this field, as it can help them gain a better understanding of the use of AI in the financial industry. Additionally, the course can help Quantitative Analysts to build a foundation in the use of AI to identify opportunities and solve problems in their organization.
For more career information including salaries, visit:
OpenCourser.com/course/5bpyw5/l'ia
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
L’IA pour tous.
Save
Ce livre est un ouvrage de référence sur l'apprentissage en profondeur. Il couvre les concepts théoriques, les architectures de réseau et les techniques d'optimisation utilisées dans l'apprentissage en profondeur. Il est particulièrement utile pour les lecteurs qui souhaitent approfondir leur compréhension de l'apprentissage en profondeur.
Save
Ce livre examine comment les entreprises peuvent tirer parti de l'intelligence artificielle pour obtenir un avantage concurrentiel. Il couvre les stratégies, les technologies et les études de cas d'entreprises qui ont réussi à intégrer l'IA dans leurs opérations.
Ce livre fournit un guide pratique sur l'apprentissage automatique avec Python. Il couvre les techniques, les algorithmes et les outils utilisés dans les projets d'apprentissage automatique. Il est particulièrement utile pour les lecteurs qui souhaitent acquérir des compétences pratiques en apprentissage automatique.
Save
Ce livre explore l'histoire et l'avenir de l'apprentissage automatique. Il examine les différentes approches de l'apprentissage automatique et discute de son potentiel de transformation dans divers domaines.
Ce livre explore les implications philosophiques et existentielles de l'intelligence artificielle. Il examine les questions sur la nature de la conscience, de l'identité et de l'avenir de l'humanité à l'ère de l'IA.
Ce livre explore les implications économiques de l'intelligence artificielle. Il examine comment l'IA affecte la productivité, l'emploi et la concurrence sur le marché.
Save
Ce livre explore les implications potentielles d'une intelligence artificielle superintelligente. Il examine les risques et les avantages d'une telle IA et discute des stratégies pour la développer et la contrôler de manière responsable.
Save
Ce livre explore l'impact social et économique de l'automatisation et de l'intelligence artificielle. Il examine les implications pour le marché du travail, l'éducation et la société dans son ensemble.
Save
Ce livre explore les implications potentielles de l'intelligence artificielle et d'autres technologies émergentes pour l'avenir de l'humanité. Il examine les défis et les opportunités que ces technologies présentent.
Ce livre fournit une introduction à la science des données pour les professionnels de l'entreprise. Il couvre les concepts, les techniques et les outils utilisés dans les projets de science des données, complétant ainsi le contenu du cours.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5bpyw5/l'ia
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Effort
4 semaines d’étude, 2-3 heures/semaine
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Andrew Ng
Language
Français
Transcripts
English
Español
Português
Deutsch
中文
العربية
日本語
Nederlands
Pусский
ไทย
tiếng Việt
Good to know
Ce cours est destiné aux professionnels non techniques qui souhaitent comprendre l’IA et son impact sur leur secteur d’activité
Le cours est conçu pour fournir une compréhension de base de l’IA, de son fonctionnement et de son application dans le monde réel
Les instructeurs Andrew Ng sont reconnus pour leur expertise et leur expérience dans le domaine de l’IA
Le cours couvre un large éventail de sujets liés à l’IA, y compris l’apprentissage automatique, l’apprentissage en profondeur et la science des données
Le cours est conçu pour être accessible aux personnes ayant peu ou pas de connaissances techniques
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