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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
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: Vector Databases, AI Personalization, Embeddings, Hugging Face, MongoDB, NoSQL, PostgreSQL, Relational Databases, Generative AI, SQL, Databases, LLM Application, Applied Machine Learning, Database Design, Database Management, Apache Cassandra, Text Mining, Artificial Intelligence, Machine Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    69 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Product Owners

    Skills you'll gain: Prompt Engineering, AI Product Strategy, Prompt Patterns, ChatGPT, Responsible AI, Generative AI, Google Gemini, Product Management, AI Enablement, Artificial Intelligence, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Machine Learning, Stakeholder Engagement, Context Management, Decision Making

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Machine Learning, Context Management

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    191 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Digital Signal Processing, Mathematical Software, Computer Programming, Histogram, Predictive Modeling, AI Personalization, Data Processing, Data Analysis, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Anomaly Detection, Deep Learning, Vulnerability Management, Artificial Intelligence, Incident Management

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    I

    Illinois Tech

    AI Integration in Healthcare Patient Data

    Skills you'll gain: Clinical Informatics, Data Ethics, Health Informatics, Responsible AI, Electronic Medical Record System, Health Care, Health Technology, Clinical Data Management, Healthcare Ethics, Artificial Intelligence, Natural Language Processing, Decision Support Systems, Machine Learning, Data Quality, Generative AI

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Vector Database Fundamentals: IBM
  • Generative AI for Product Owners: IBM
  • Generative AI for Data Engineers: IBM
  • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • PyTorch: Fundamentals: DeepLearning.AI
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Foundations of Data Science: Google
  • AI Integration in Healthcare Patient Data: Illinois Tech

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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