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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


  • C

    Coursera

    Create a no-code responsive website with Webflow

    Skills you'll gain: Responsive Web Design, No-Code Development, Web Design, Content Management, Web Design and Development, Web Content, Web Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    131 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of California San Diego

    Capstone: Analyzing (Social) Network Data

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Technical Communication, Data Structures, Algorithms, Analysis, Computer Science, Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100 reviews

    Mixed · Course · 1 - 3 Months

  • I

    Infosec

    Python for Command-and-control, Exfiltration and Impact

    Skills you'll gain: Cyber Operations, Threat Management, Threat Detection, Cybersecurity, Scripting, Python Programming, Encryption, Network Protocols

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Codio

    Angular for Front End Engineers

    Skills you'll gain: Angular, Test Driven Development (TDD), Web Components, HTML and CSS, Web Development, Software Testing, Cascading Style Sheets (CSS), Front-End Web Development, Development Environment, UI Components, Javascript, Data Persistence, Event-Driven Programming, Data Management, Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Gen AI for Executives Course - Gen AI Adoption

    Skills you'll gain: Responsible AI, AI Product Strategy, AI Security, Diversity and Inclusion, Workplace inclusivity, Business Leadership, Strategic Leadership, Talent Management, Cross-Functional Collaboration, Workforce Development, Business Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Visualizing Women's Work: Using Art Media for Social Justice

    Skills you'll gain: Social Justice, Art History, Public History, Creativity, Social Impact, Research, Advocacy, Performing Arts, Cultural Diversity, Multimedia

    4.7
    Rating, 4.7 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    AI Principles with Edge Computing

    Skills you'll gain: Artificial Intelligence, Internet Of Things, Unsupervised Learning, Python Programming, Deep Learning, Machine Learning, Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Reinforcement Learning, Data Preprocessing, Natural Language Processing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AI Content Creation with DALL-E: Visual SEO Strategy

    Skills you'll gain: Prompt Engineering, Generative AI, Blogs, Search Engine Optimization, Content Strategy, Web Content, Content Creation, Keyword Research, ChatGPT

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • W

    Whizlabs

    Azure Identity, Governance, and Monitoring solutions

    Skills you'll gain: Role-Based Access Control (RBAC), Microsoft Azure, Azure Active Directory, Cloud Solutions, Identity and Access Management, Cloud Management, Solution Architecture, Data Governance, Cloud Security, Cloud Computing Architecture, System Monitoring, Authorization (Computing), Authentications, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • R

    ROI Training

    Preparing for and Passing Technical Certifications

    Skills you'll gain: Learning Styles, Learning Strategies, Test Planning, Requirements Analysis, Technical Documentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 3 Months

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

  • Create a no-code responsive website with Webflow: Coursera
  • Capstone: Analyzing (Social) Network Data: University of California San Diego
  • Python for Command-and-control, Exfiltration and Impact: Infosec
  • Angular for Front End Engineers: Codio
  • Microsoft Gen AI for Executives Course - Gen AI Adoption: Microsoft
  • Visualizing Women's Work: Using Art Media for Social Justice: University of Michigan
  • AI Principles with Edge Computing: L&T EduTech
  • AI Content Creation with DALL-E: Visual SEO Strategy: Coursera
  • Azure Identity, Governance, and Monitoring solutions : Whizlabs
  • Data Science Fundamentals, Part 1: Pearson

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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