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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


Popular Applied Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Management, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Model Deployment, AI Security, Restful API, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, CI/CD, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, Model Deployment, IBM Cloud, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    300 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    AI agent fundamentals with Azure AI Foundry

    Skills you'll gain: Prompt Engineering, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Application Programming Interface (API), Information Architecture, Natural Language Processing, Technical Documentation

    3.3
    Rating, 3.3 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI Foundations for Business Professionals

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Responsible AI, OpenAI, Artificial Neural Networks, AI Security, Data Ethics, Governance, Artificial Intelligence, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Compliance Management, AI Product Strategy, Business Ethics, Risk Management, Machine Learning, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    224 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data-Driven Decision-Making, Data Mining, Predictive Modeling, Data Manipulation, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research (3): Theory

    Skills you'll gain: Operations Research, Network Model, Applied Machine Learning, Case Studies, Applied Mathematics, Mathematical Modeling, Transportation Operations, Business Analytics, Advanced Mathematics, Linear Algebra, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    95 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Patterns, ChatGPT, Generative AI, Digital Advertising, Online Advertising, Email Marketing, Digital Marketing, Search Engine Optimization, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing Strategies, Content Creation, Web Analytics and SEO, Search Engine Marketing, Prototyping, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Learn SQL Basics for Data Science: University of California, Davis
  • Social Computing: Johns Hopkins University
  • Generative AI for Java and Spring Developers: IBM
  • Introduction to Neural Networks: Johns Hopkins University
  • Generative AI: Foundation Models and Platforms: IBM
  • AI agent fundamentals with Azure AI Foundry: Microsoft
  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • Data Science Methodology: IBM
  • Operations Research (3): Theory: National Taiwan University
  • Generative AI for Digital Marketing: IBM

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)

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