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Free Machine Learning Courses

Try Machine Learning for free! Enroll for free or try our 7-day free trial and discover how Machine Learning can enhance your professional and personal life.

Popular Free Machine Learning Courses


  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google

    Google AI

    Skills you'll gain: Vibe coding, Responsible AI, AI powered creativity, Prompt Patterns, Brainstorming, Planning, AI literacy, Visual Storytelling, Prompt Engineering Tools, Generative AI, Data Wrangling, Data Analysis, Content Creation, Presentations, Business Communication, Artificial Intelligence, Data Visualization, Research, Project Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.9K reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    221 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Generative Model Architectures, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, AI literacy, Model Evaluation, LLM Application, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    I

    Infosec

    AI Security

    Skills you'll gain: Responsible AI, AI Security, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Governance, Cyber Governance, Law, Regulation, and Compliance, Information Privacy, Regulation and Legal Compliance, Data Governance, Data Security, Machine Learning, Computer Security, Risk Management Framework

    4.6
    Rating, 4.6 out of 5 stars
    ·
    260 reviews

    Beginner · Course · 1 - 3 Months

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

  • Generative AI: Introduction and Applications: IBM
  • What is Data Science? : IBM
  • AI For Everyone: DeepLearning.AI
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Machine Learning: DeepLearning.AI
  • Machine Learning with Python: IBM
  • Introduction to AI: Google
  • Google AI: Google
  • Foundations of Data Science: Google
  • Data Science Challenge: Coursera

Frequently Asked Questions about Free

Free courses provide an opportunity for individuals to learn new skills and expand their knowledge without financial barriers. This accessibility is crucial in today's fast-paced world, where continuous learning is essential for personal and professional growth. By engaging with free educational resources, learners can explore various subjects, enhance their employability, and gain confidence in their abilities.‎

While the term 'free' typically refers to courses that do not require payment, it's important to note that the skills gained from these courses can lead to various job opportunities. Fields such as technology, healthcare, and creative industries often value the knowledge acquired through free learning. For instance, skills in data science or digital marketing can open doors to roles like data analyst or marketing coordinator.‎

To make the most of free courses, learners should focus on developing skills that are in demand in the job market. This may include technical skills like coding or data analysis, as well as soft skills such as communication and critical thinking. By identifying the skills that align with their career goals, learners can strategically choose free courses that will benefit their professional journey.‎

Some of the best free courses online cover a wide range of topics, from technology and business to arts and humanities. For example, the Code Free Data Science course offers an introduction to data science without requiring programming skills. Additionally, courses like Speak Freely, Think Critically: The Free Speech Balance Act encourage learners to engage with important societal issues.‎

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

  1. Preview the first module of many free 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 free, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning for free can be achieved by exploring various online platforms that offer free courses. Start by identifying your interests and career goals, then search for relevant courses. Set a study schedule to maintain consistency and engage with course materials actively. Joining online communities can also enhance your learning experience by providing support and motivation.‎

Free courses typically cover a diverse array of topics, including technology, business, personal development, and the arts. Common subjects include programming, data analysis, digital marketing, and communication skills. This variety allows learners to choose courses that align with their interests and career aspirations.‎

For training and upskilling employees, free courses can be particularly beneficial. Courses that focus on essential skills such as data analysis, project management, and digital marketing can enhance workforce capabilities. Programs like the AAPC Medical Biller Professional Certificate provide valuable training that can be accessed at no cost, making them ideal for organizations looking to invest in their employees' development.‎

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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