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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


  • B

    Board Infinity

    Foundations of Usability Testing

    Skills you'll gain: Usability Testing, Usability, Human Centered Design, Human Factors, Human Computer Interaction, Software Testing, User Interface (UI), Web Content Accessibility Guidelines, User Experience, User Research, Risk Management Framework, Law, Regulation, and Compliance

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Generative AI for Keyword Research

    Skills you'll gain: Keyword Research, Generative AI, Search Engine Optimization, Web Analytics and SEO, Search Engine Marketing, Prompt Engineering, Competitive Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of London

    Full-Stack Web Development

    Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), JSON, HTML and CSS, Ajax, Web Content Accessibility Guidelines, Javascript, Web Design, Semantic Web, Usability, Web Applications, Web Development, Web Content, Usability Testing, Interactive Design, Data Structures, Application Frameworks, Network Protocols, Data Ethics, Animations

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • S

    Siemens

    Expedite – Skills for Industry: Design and Manufacturing

    Skills you'll gain: Product Lifecycle Management, Conceptual Design, Sustainable Design, Project Planning, Sustainable Engineering, Product Development, Systems Engineering, Product Management, Product Design, Manufacturing and Production, Design and Product, Risk Management, Design Software, Engineering, Time Management, Internet Of Things, Cross-Functional Collaboration, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Telehealth Clinical Essentials

    Skills you'll gain: Telehealth, Health Technology, Vital Signs, Health Assessment, Patient Preparation, Patient Evaluation, End User Training and Support, Patient Communication, Patient Safety

    4.9
    Rating, 4.9 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    ISAE-SUPAERO

    Foundation of Structural Dynamics

    Skills you'll gain: Mechanics, Structural Analysis, Engineering Analysis, Mechanical Engineering, Vibrations, Mathematical Modeling, Control Systems, Physics, Systems Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Visual Basic Programming: Inheritance and Polymorphism

    Skills you'll gain: File I/O, Unified Modeling Language, Visual Basic (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Data Modeling, Microsoft Development Tools, Computer Programming, .NET Framework, Software Engineering, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Application Developers

    Skills you'll gain: Google Gemini, Code Review, Application Deployment, Continuous Deployment, Responsible AI, Software Development Tools, Google Cloud Platform, Generative AI, Prompt Engineering, Debugging, Application Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 4 Weeks

  • K

    Knowledge Accelerators

    Promoting Accessible Workplaces with Assistive Technology

    Skills you'll gain: Web Content Accessibility Guidelines, Workplace inclusivity, Diversity Awareness, Disabilities, Diversity Programs, Technical Communication, Interactive Learning, Visual Impairment Education, Developmental Disabilities, Microsoft Office, Microsoft Windows, Productivity

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Expand Employee Interaction with Canvas

    Skills you'll gain: Hypertext Markup Language (HTML), Course Development, Learning Management Systems, Collaboration, Intranet, Training and Development, Teamwork, Content Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Foundations of Usability Testing: Board Infinity
  • Generative AI for Keyword Research: Coursera
  • Full-Stack Web Development: University of London
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Expedite – Skills for Industry: Design and Manufacturing: Siemens
  • Telehealth Clinical Essentials: Duke University
  • Foundation of Structural Dynamics: ISAE-SUPAERO
  • Choose Optimal Data Structures for ML: Coursera
  • Visual Basic Programming: Inheritance and Polymorphism: LearnQuest
  • GenAI for Application Developers: Coursera

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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