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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


  • I

    IBM

    Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Generative AI Agents, LLM Application, AI Integrations, Tool Calling, Large Language Modeling, Software Design Patterns, Memory Management

    ★ 4.8 (91) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Vertex AI Studio

    Skills you'll gain: Prompt Engineering, Gemini, Google Gemini, Prompt Patterns, Multimodal Prompts, Prompt Engineering Tools, Generative AI, LLM Application, Model Optimization, Fine-tuning, Model Deployment, Prototyping

    ★ 4.6 (241) · Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Project Management & Other Tools for Career Development

    Skills you'll gain: Business Writing, Stakeholder Engagement, Negotiation, Project Planning, Creative Thinking, Project Performance, Business Correspondence, Stakeholder Communications, Concision, Project Management, Communication Planning, Project Risk Management, Planning, Editing, Performance Measurement, Teamwork, Risk Management, Emotional Intelligence, Relationship Building, Communication

    ★ 4.7 (38K) · Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Líder de IA generativa (Generative AI Leader)

    Skills you'll gain: Prompt Engineering, Responsible AI, Google Gemini, Gemini, Generative AI, Generative AI Agents, Generative Model Architectures, Google Cloud Platform, AI Workflows, Google Workspace, AI Orchestration, Agentic Workflows, Prompt Patterns, AI Product Strategy, AI Security, Large Language Modeling, AI literacy, Artificial Intelligence, Cloud Computing, Collaboration

    ★ 4.8 (227) · Beginner · Specialization · 3 - 6 Months

  • M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning Software, AI literacy, Model Training, Regression Analysis, No-Code Development, Predictive Modeling, Machine Learning

    ★ 4.5 (1.6K) · Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Data Pipelines with TensorFlow Data Services

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, Feature Engineering, Data Transformation, Data Sharing, Model Training, Data Management, Performance Tuning, Applied Machine Learning

    ★ 4.5 (536) · Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    .Net Full Stack Foundation

    Skills you'll gain: Application Development, Application Frameworks, Development Environment, Web Development, Microsoft Visual Studio, Microsoft Development Tools

    ★ 4.1 (289) · Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Introduction to iOS Mobile Application Development

    Skills you'll gain: iOS Development, Mobile Development, Apple iOS, Apple Xcode, Swift Programming, Objective-C (Programming Language), User Interface (UI), Mobile Development Tools, Application Development, UI Components, Application Programming Interface (API), Knowledge of Apple Software, Development Environment, Integrated Development Environments, Storyboarding

    ★ 4.6 (1K) · Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing

    ★ 4.4 (3.8K) · Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Memory Management, Performance Tuning, System Programming, Hardware Architecture, Program Development, Computer Architecture, Performance Testing, Computer Hardware, Algorithms

    ★ 2.8 (65) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning

    ★ 4.8 (88) · Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    Manejo de bases de datos con Python

    Skills you'll gain: Relational Databases, Object-Relational Mapping, Database Management, Database Design, SQL, Database Development, Database Management Systems, Data Persistence, Query Languages, Data Integrity, Data Manipulation, Python Programming, Data Migration, Transaction Processing, Computer Programming

    ★ 4.2 (185) · Beginner · Course · 1 - 4 Weeks

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

  • Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI: IBM
  • Introduction to Vertex AI Studio: Google Cloud
  • Project Management & Other Tools for Career Development: University of California, Irvine
  • Líder de IA generativa (Generative AI Leader): Google Cloud
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
  • .Net Full Stack Foundation: Board Infinity
  • Introduction to iOS Mobile Application Development: Meta
  • Machine Learning on Google Cloud: Google Cloud
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University

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