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  1. Categories
  2. Machine Learning

Cours en Apprentissage automatique

Les cours en apprentissage automatique peuvent vous aider à comprendre comment construire, entraîner et analyser des modèles prédictifs. Vous pouvez développer des compétences en préparation des données, choix d'algorithmes, optimisation et évaluation. De nombreux cours utilisent des bibliothèques courantes pour tester des modèles.

Cours et certificats populaires en Apprentissage automatique


  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Responsible AI, Data Manipulation, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.1 stars, 654 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.1 (654) · Advanced · Specialization · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial
  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning

    4.8 stars, 651 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.8 (651) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Tool Calling, Agentic systems, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, Responsible AI, Embeddings, Large Language Modeling, AI Integrations, Software Development

    4.6 stars, 1.2K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.6 (1.2K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • J

    John Wiley & Sons

    Advanced Machine Learning, Neural Networks, and NLP

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings

    Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Natural Language Processing, Embeddings, Model Evaluation, Recurrent Neural Networks (RNNs), Computer Vision, Reinforcement Learning, Convolutional Neural Networks, Large Language Modeling, Model Optimization, Model Training, Data Preprocessing, Cloud Deployment, Applied Machine Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms

    4.5 stars, 1.5K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • What brings you to Coursera today?

  • G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Programming, Data Cleansing, Data Manipulation, Data Structures, Interviewing Skills, NumPy, Google Gemini

    4.8 stars, 13K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (13K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4 stars, 394 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (394) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google

    Google IT Automation with Python

    Skills you'll gain: Version Control, Cloud Management, Test Automation, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Infrastructure, Virtual Machines, Development Testing, Scripting, Software Testing, Cloud Services, Performance Tuning, Email Automation, Web Presence, Python Programming, CI/CD, Configuration Management, Program Development, Containerization, Unit Testing

    4.8 stars, 56K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (56K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • A

    Amazon Web Services

    AWS Generative AI Developer Advanced

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Personally Identifiable Information, Dashboard Creation, Token Optimization, Generative AI Agents, Responsible AI, AI Workflows, Generative AI, Agentic systems, Enterprise Architecture, API Design, API Gateway, Performance Tuning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Intelligence, Cloud Platforms, Machine Learning

    Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Machine Learning Methods, Applied Machine Learning, Data Presentation, Machine Learning, Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Regression Analysis, Python Programming, Artificial Neural Networks, Application Development

    4.7 stars, 218 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.7 (218) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Model Training, Applied Machine Learning, Statistics, Machine Learning Methods, Workflow Management, Feature Engineering, SAS (Software), Machine Learning, Correlation Analysis, Artificial Neural Networks, Machine Learning Algorithms

    4.7 stars, 107 reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.7 (107) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Model Training, Cloud Deployment, Cloud-Native Computing, Data Validation, Model Optimization, Applied Machine Learning, Systems Architecture, Data Quality, Hybrid Cloud Computing, Distributed Computing, Performance Tuning, Scalability, Dependency Analysis

    4.6 stars, 1K reviews, Advanced, Course, 1 - 3 Months

    ★ 4.6 (1K) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
1234…39

Best Machine Learning courses from Google

Top-rated Machine Learning courses offered by Google on Coursera.

  1. 1
    The Nuts and Bolts of Machine Learning
    GoogleAdvanced1 - 3 Months4.8(651)Google
  2. 2
    Google Advanced Data Analytics
    GoogleAdvanced3 - 6 Months4.8(12,870)Google
  3. 3
    Google IT Automation with Python
    GoogleAdvanced3 - 6 Months4.8(55,937)Google

Best Machine Learning certificate programs

Earn a certificate in Machine Learning from top universities and companies.

  1. 1
    MLOps | Machine Learning Operations
    Duke UniversityAdvanced3 - 6 Months4.1(654)Specialization
  2. 2
    IBM RAG and Agentic AI
    IBMAdvanced3 - 6 Months4.6(1,166)Professional Certificate
  3. 3
    Advanced Machine Learning on Google Cloud
    Google CloudAdvanced3 - 6 Months4.5(1,549)Specialization

Frequently Asked Questions about Machine Learning

Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It is important because it drives innovation across various sectors, from healthcare to finance, by automating processes and providing insights that were previously unattainable. As industries increasingly rely on data-driven decision-making, understanding machine learning becomes essential for staying competitive.‎

A variety of job opportunities exist in the field of machine learning. Positions include machine learning engineer, data scientist, AI researcher, and business intelligence analyst. These roles often require a blend of programming skills, statistical knowledge, and domain expertise. As organizations continue to adopt machine learning technologies, the demand for skilled professionals in this area is expected to grow.‎

To learn machine learning effectively, you should focus on several key skills. Proficiency in programming languages such as Python or R is crucial, along with a solid understanding of statistics and linear algebra. Familiarity with data manipulation and visualization tools, as well as experience with machine learning frameworks like TensorFlow or PyTorch, will also be beneficial. These skills will provide a strong foundation for your machine learning journey.‎

There are many excellent online resources for learning machine learning. Notable options include the IBM Machine Learning Professional Certificate and the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate. These programs offer structured learning paths and hands-on projects to help you build practical skills.‎

Yes. You can start learning Machine Learning on Coursera for free in two ways:

  1. Preview the first module of many Machine Learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in Machine Learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn machine learning, start by taking introductory courses that cover the basics of algorithms and data analysis. Engage in hands-on projects to apply what you've learned, and gradually progress to more advanced topics. Utilize online resources, participate in forums, and collaborate with peers to enhance your understanding. Consistent practice and real-world application will reinforce your skills.‎

Typical topics covered in machine learning courses include supervised and unsupervised learning, regression analysis, classification techniques, clustering, and neural networks. Additionally, courses often explore data preprocessing, feature engineering, and model evaluation. Understanding these concepts will equip you with the knowledge needed to tackle various machine learning challenges.‎

For training and upskilling employees in machine learning, programs like the Applied Machine Learning Specialization are highly effective. These courses focus on practical applications and real-world scenarios, making them suitable for professionals looking to enhance their skills and contribute to their organizations' data-driven initiatives.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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