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Andrew Ng Machine Learning Courses Online

Study machine learning with Andrew Ng for foundational knowledge. Learn about supervised learning, neural networks, and model evaluation.

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Explore the Andrew Ng Machine Learning Course Catalog

  • Status: Free Trial
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    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    36K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Text Mining, Feature Engineering, Machine Learning Algorithms

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
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    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, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Mixed · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI Product Strategy, Artificial Intelligence, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 4 Weeks

Machine Learning Andrew Ng learners also search

Python Machine Learning
Python for Machine Learning
Mathematics for Machine Learning
Computational Science
Machine Learning
MATLAB
Applied Machine Learning
Beginner Machine Learning
1234…491

In summary, here are 10 of our most popular machine learning andrew ng courses

  • Machine Learning: DeepLearning.AI
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Machine Learning with Python: IBM
  • Deep Learning: DeepLearning.AI
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Advanced Learning Algorithms: DeepLearning.AI
  • AI For Everyone: DeepLearning.AI
  • Python for Data Science, AI & Development: IBM

Frequently Asked Questions about Machine Learning Andrew Ng

It depends on your learning style and whether you want to focus more on theory or hands-on skills using Python:

  • The original Supervised Machine Learning: Regression and Classification course is great if you want a deep, math-focused understanding of ML algorithms and don’t mind using Octave/MATLAB.
  • The Machine Learning Specialization is better if you want modern, Python-based training that’s more applied and modular.
  • If you’re not a developer or want to understand what machine learning is and how it impacts work and society, start with AI For Everyone—Andrew Ng’s non-technical introduction to AI concepts, business use cases, and ethical considerations.
  • Interested in building real-world applications with language models like ChatGPT? Consider ChatGPT Prompt Engineering for Developers (Guided Project) by DeepLearning.AI and OpenAI—it’s a fast, practical way to understand LLM behavior and prompt design. ‎

Try Andrew Ng's Machine Learning Specialization for learners who want to use practical tools right away. ‎

A course teaches one focused topic—offering concise, standalone learning experiences.

  • Machine Learning (Octave/MATLAB; foundational algorithms and math)
  • AI For Everyone (non-technical intro to AI impacts and strategy)
  • Neural Networks and Deep Learning (part of a larger specialization)

A Specialization is a curated series of courses—designed to build expertise through a structured progression.

  • Machine Learning Specialization (3 courses; Python-based, covering supervised & unsupervised methods)
  • Deep Learning Specialization (5 courses; focused on neural networks, CNNs, RNNs, and project structure)

A Professional Certificate is a career-ready program—often including hands-on projects and aligned with industry roles.

  • DeepLearning.AI TensorFlow Developer Professional Certificate (covers TensorFlow, model building, deployment workflows) ‎

Browse the machine learning with Andrew Ng courses below—popular starting points on Coursera.

  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
  • Machine Learning with Python: IBM
  • Fundamentals of Machine Learning and Artificial Intelligence: AWS
  • Introduction to Machine Learning: Duke University
  • Generative AI for Everyone: DeepLearning.AI
  • AI For Everyone: DeepLearning.AI
  • Advanced Learning Algorithms: DeepLearning.AI‎
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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