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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.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • C

    Coursera

    GenAI for Technology Consultants

    Skills you'll gain: ChatGPT, Responsible AI, Technical Consulting, Business Consulting, Generative AI, Prompt Engineering Tools, AI Enablement, Business Reporting, Research Reports, Client Services, Business Process Automation, Data Analysis, Business Ethics, Innovation

    3.7
    Rating, 3.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI Tools for Modern Software Engineering

    Skills you'll gain: Performance Tuning, Software Development Tools, Code Review, AI Workflows, Generative AI, Software Engineering, Software Technical Review, Application Security, Software Development, DevSecOps, Secure Coding, Prompt Engineering, Software Quality (SQA/SQC), AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Debugging, Software Development Life Cycle, Automation, Analysis

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Data Engineers: Scaling with GenAI

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL

    Beginner · Course · 1 - 4 Weeks

  • S

    SkillsBooster Academy

    The Non-Coder’s Guide to Vibe Coding

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, No-Code Development, Presentations, Application Development, Generative AI, Web Applications, Automation, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Interactive Design, Digital Design, Creative Design, New Product Development, Creative Thinking, User Interface (UI) Design, Creativity, Application Deployment

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Creating a Multi Page App using HTML & CSS

    Skills you'll gain: HTML and CSS, Hypertext Markup Language (HTML), Web Development, Web Applications, Web Design and Development, Cascading Style Sheets (CSS), Web Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Application Modernization for Enterprise Systems

    Skills you'll gain: Event-Driven Programming, DevOps, Data Integration, z/OS, IBM Cloud, Hybrid Cloud Computing, CI/CD, Mainframe Technologies, Mainframe Computing, Cloud Development, Cloud Applications, Enterprise Application Management, Application Deployment, Middleware, Data Access, Application Design, Containerization, Cloud API, Application Programming Interface (API), Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Image Captioning with TensorFlow & Streamlit

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Model Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Feature Engineering, Data Preprocessing, Deep Learning, Applied Machine Learning, Application Development, Recurrent Neural Networks (RNNs), Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Collaborative Software, Large Language Modeling, Data Preprocessing, Data Validation, Data Cleansing, Natural Language Processing, Verification And Validation, Transfer Learning, Data Quality, AI Workflows, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Big Data Technologies and Applications

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Data Infrastructure, Business Intelligence, Data Management, Case Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    How to create business cards using Adobe Photoshop

    Skills you'll gain: Color Theory, Layout Design, Adobe Photoshop, Typography, Design Elements And Principles, Microsoft Windows, Graphic Design, File Management

    Beginner · Guided Project · Less Than 2 Hours

  • A

    Adobe

    Prompting for Generative AI

    Skills you'll gain: Adobe Firefly, Prompt Engineering, Adobe Illustrator, Visualization (Computer Graphics), Style Guides, Adobe Photoshop, Graphic and Visual Design, Generative AI, Storytelling, Creativity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • GenAI for Technology Consultants: Coursera
  • Generative AI Tools for Modern Software Engineering: Edureka
  • GenAI for Data Engineers: Scaling with GenAI: Coursera
  • The Non-Coder’s Guide to Vibe Coding: SkillsBooster Academy
  • Creating a Multi Page App using HTML & CSS: Coursera
  • Application Modernization for Enterprise Systems: IBM
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Image Captioning with TensorFlow & Streamlit: EDUCBA
  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • Big Data Technologies and Applications: 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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