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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: New
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    Coursera

    Optimize and Migrate Vectors

    Skills you'll gain: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Architecture and Administration, MLOps (Machine Learning Operations), Scripting, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
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    81 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
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    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
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    7.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
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    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Michigan

    Finding Purpose and Meaning In Life: Living for What Matters Most

    Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Mindfulness, Mental Health, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    77 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Git (Version Control System), Automation, System Monitoring, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    IBM Product Manager

    Skills you'll gain: AI Product Strategy, User Story, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Agile Software Development, Scrum (Software Development), Product Roadmaps, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Backlogs, ChatGPT, Test Planning, Registration, Leadership

    4.7
    Rating, 4.7 out of 5 stars
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    4.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

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

  • Optimize and Migrate Vectors: Coursera
  • Explainable AI (XAI): Duke University
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Meta Database Engineer: Meta
  • Deploy & Optimize ML Services Confidently: Coursera
  • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
  • Meta Android Developer: Meta
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • MLOps and responsible AI practices: Microsoft

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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