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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
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM GenAI Engineering with PyTorch, LangChain & Hugging Face

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    95K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud Platforms, Artificial Intelligence, Machine Learning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    284 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Investment Management with Python and Machine Learning

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Applied Machine Learning, Asset Management, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Machine Learning, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms, Machine Learning, Network Architecture, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Computer Vision, Large Language Modeling, Software Architecture, LangChain, Responsive Web Design, Restful API, LLM Application, Generative AI, Flask (Web Framework), IBM Cloud, Responsible AI, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • IBM GenAI Engineering with PyTorch, LangChain & Hugging Face: IBM
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • Investment Management with Python and Machine Learning: EDHEC Business School
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI

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