• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Coursera Plus
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Applied Machine Learning Course Catalog

    Applied Machine Learning learners also search

    Machine Learning
    Beginner Machine Learning
    Machine Learning Projects
    Advanced Machine Learning
    Deep Learning
    Beginner Deep Learning
    Deep Learning Projects
    Advanced Deep Learning
    1…442443444445

    In summary, here are 0 of our most popular applied machine learning courses

      Skills you can learn in Machine Learning

      Python Programming (33)
      Tensorflow (32)
      Deep Learning (30)
      Artificial Neural Network (24)
      Big Data (18)
      Statistical Classification (17)
      Reinforcement Learning (13)
      Algebra (10)
      Bayesian (10)
      Linear Algebra (10)
      Linear Regression (9)
      Numpy (9)

      Frequently Asked Questions about Applied Machine Learning

      It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

      Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

      Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

      Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.‎

      When looking to enhance your workforce's skills in Applied Machine Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

      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.

      Other topics to explore

      Arts and Humanities
      338 courses
      Business
      1095 courses
      Computer Science
      668 courses
      Data Science
      425 courses
      Information Technology
      145 courses
      Health
      471 courses
      Math and Logic
      70 courses
      Personal Development
      137 courses
      Physical Science and Engineering
      413 courses
      Social Sciences
      401 courses
      Language Learning
      150 courses

      Coursera Footer

      Technical Skills

      • ChatGPT
      • Coding
      • Computer Science
      • Cybersecurity
      • DevOps
      • Ethical Hacking
      • Generative AI
      • Java Programming
      • Python
      • Web Development

      Analytical Skills

      • Artificial Intelligence
      • Big Data
      • Business Analysis
      • Data Analytics
      • Data Science
      • Financial Modeling
      • Machine Learning
      • Microsoft Excel
      • Microsoft Power BI
      • SQL

      Business Skills

      • Accounting
      • Digital Marketing
      • E-commerce
      • Finance
      • Google
      • Graphic Design
      • IBM
      • Marketing
      • Project Management
      • Social Media Marketing

      Career Resources

      • Essential IT Certifications
      • High-Income Skills to Learn
      • How to Get a PMP Certification
      • How to Learn Artificial Intelligence
      • Popular Cybersecurity Certifications
      • Popular Data Analytics Certifications
      • What Does a Data Analyst Do?
      • Career Development Resources
      • Career Aptitude Test
      • Share your Coursera Learning Story

      Coursera

      • About
      • What We Offer
      • Leadership
      • Careers
      • Catalog
      • Coursera Plus
      • Professional Certificates
      • MasterTrack® Certificates
      • Degrees
      • For Enterprise
      • For Government
      • For Campus
      • Become a Partner
      • Social Impact
      • Free Courses
      • ECTS Credit Recommendations

      Community

      • Learners
      • Partners
      • Beta Testers
      • Blog
      • The Coursera Podcast
      • Tech Blog
      • Teaching Center

      More

      • Press
      • Investors
      • Terms
      • Privacy
      • Help
      • Accessibility
      • Contact
      • Articles
      • Directory
      • Affiliates
      • Modern Slavery Statement
      • Do Not Sell/Share
      Learn Anywhere
      Download on the App Store
      Get it on Google Play
      Logo of Certified B Corporation
      © 2025 Coursera Inc. All rights reserved.
      • Coursera Facebook
      • Coursera Linkedin
      • Coursera Twitter
      • Coursera YouTube
      • Coursera Instagram
      • Coursera TikTok