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Cours en Informatique

Les cours en informatique peuvent vous aider à comprendre les algorithmes, les systèmes informatiques, les données et les principaux concepts liés au développement logiciel. Vous pouvez développer des compétences en raisonnement logique, modélisation, architecture et analyse. De nombreux cours utilisent des exemples concrets pour illustrer les principes fondamentaux.

Cours et certificats populaires en Informatique


  • Status: Preview
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    L

    Lund University

    AI, Business & the Future of Work

    Skills you'll gain: AI Product Strategy, AI Enablement, Organizational Strategy, Artificial Intelligence, Responsible AI, Business Transformation, Business Risk Management, AI literacy, Risk Analysis, AI Integrations, Automation, Thought Leadership, Data Ethics, Human Machine Interfaces

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    Clemson University

    Human-Centered Artificial Intelligence

    Skills you'll gain: Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Machine Interfaces, Human Centered Design, Human Computer Interaction, Generative AI, Machine Learning, Model Evaluation, Ethical Standards And Conduct

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Scrimba

    Data Structures and Algorithms: Binary Search

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Theoretical Computer Science, Software Development, Software Engineering, Programming Principles, Data Structures, Computer Programming, Javascript, Computer Science, Web Development

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    Game Development: HTML to Unreal Engine Mastery

    Skills you'll gain: Unreal Engine, Game Design, Video Game Development, Animation and Game Design, Hypertext Markup Language (HTML), HTML and CSS

    4.5
    Rating, 4.5 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 4 Weeks

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    B

    Board Infinity

    Build Real-world Projects Using Replit and Ghostwriter

    Skills you'll gain: Collaborative Software, Integrated Development Environments, Program Development, Debugging, Development Environment, Computer Programming Tools, Generative AI, File Management

    3.3
    Rating, 3.3 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

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    T

    The University of Tokyo

    Welcome to Game Theory

    Skills you'll gain: Game Theory, Socioeconomics, Analysis, Political Sciences, Biology

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Mainframe Computing, Computer Architecture, Mainframe Technologies, System Programming, Computational Logic, Programming Principles, Computer Programming, Computer Science, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

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    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    759 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Algorithms, Linear Algebra

    4.5
    Rating, 4.5 out of 5 stars
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    648 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    57 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative Model Architectures

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Generative AI, Image Analysis, Machine Learning Methods, Embeddings, Generative Model Architectures, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Model Deployment, Artificial Neural Networks, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Health Care, Big Data

    3.3
    Rating, 3.3 out of 5 stars
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    51 reviews

    Advanced · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular computer science courses

  • AI, Business & the Future of Work: Lund University
  • Human-Centered Artificial Intelligence: Clemson University
  • Data Structures and Algorithms: Binary Search: Scrimba
  • Game Development: HTML to Unreal Engine Mastery: Coursera
  • Build Real-world Projects Using Replit and Ghostwriter: Board Infinity
  • Welcome to Game Theory: The University of Tokyo
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder

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