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    Free Courses

    Free courses can help you learn new skills, explore topics of interest, and take the first step toward your personal or professional goals—without financial commitment.

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    Find the Best Free Course for Your Goals

    • D

      DeepLearning.AI

      Neuronale Netze und Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Python Programming, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Нейронные сети и глубокое обучение

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, NumPy

      3.9
      Rating, 3.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Análise de Dados para Workforce Management

      Skills you'll gain: Workforce Management, People Analytics, Data Mining, HR Tech, Big Data, Workforce Planning, Data-Driven Decision-Making, Human Resource Strategy, Deep Learning, Human Resources Management and Planning, Data Visualization, Data Processing, Digital Transformation, Human Resources, Data Science, Data Visualization Software, R Programming, Data Manipulation, Machine Learning, Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      63 reviews

      Beginner · Specialization · 1 - 3 Months

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      265 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Building Recommender Systems with Machine Learning and AI

      Skills you'll gain: Apache Spark, Deep Learning, Python Programming, Scalability, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Dimensionality Reduction, Feature Engineering, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      462 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      134 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Data Modeling, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      740 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular free courses

    • Neuronale Netze und Deep Learning: DeepLearning.AI
    • Нейронные сети и глубокое обучение: DeepLearning.AI
    • Análise de Dados para Workforce Management: Fundação Instituto de Administração
    • Data Science for Business Innovation: EIT Digital
    • Building Recommender Systems with Machine Learning and AI: Packt
    • Computer Vision for Engineering and Science: MathWorks
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Fundamentals of Machine Learning in Finance: New York University
    • A Crash Course in Data Science: Johns Hopkins University
    • Machine Learning Operations (MLOps): Getting Started: Google Cloud

    Why Learn with Free Courses?

    Free courses offer an accessible way to explore new topics, build skills, and learn from top institutions—without financial commitment. They can help you discover interests, gain practical knowledge, and take the first step toward larger learning goals. Whether you're starting fresh or advancing existing skills, free learning options give you the freedom to grow on your terms.

    Frequently Asked Questions about Free

    Coursera offers thousands of free courses across topics like data science, business, health, computer science, personal development, and more. While you can explore lectures and course content at no cost, some features—like assessments and certificates—may require payment.‎

    Yes, but certificates are typically not included in the free version of a course. To earn a certificate, you’ll usually need to pay for the course or apply financial aid if available. You can still learn all the material for free through audit mode.‎

    To start a course for free, choose the “Audit the course” or “Enroll for free” option during sign-up. This lets you access video lectures and some assignments without payment. Look for courses labeled as “Free” or those that offer a free audit option.‎

    Auditing a course gives you free access to the learning materials, like videos and reading content. Paying for a course unlocks graded assignments, assessments, and a certificate upon completion—which may be useful for showcasing your skills or professional development.‎

    Yes, many free courses are taught by instructors from top institutions like Stanford, Yale, University of Pennsylvania, and companies like IBM. These courses offer an accessible way to learn from leading educators and professionals around the world.‎

    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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