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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


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    A

    AI CERTs

    AI in Supply Chain

    Skills you'll gain: Supply Chain Management, Supply Chain, Supply Chain Planning, Supply Chain Systems, Transportation, Supply Chain, and Logistics, Generative AI Agents, Inventory Management System, AI Enablement, Generative AI, Supply Management, Demand Planning, Logistics, AI Workflows, Warehousing, Data-Driven Decision-Making, Forecasting, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Predictive Analytics, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Automate Cybersecurity Tasks with Python

    Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    364 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    71 reviews

    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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    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
    Free Trial
    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
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    490 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
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    56 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Project Planning, Project Management, Planning, Work Breakdown Structure, Interpersonal Communications

    4.7
    Rating, 4.7 out of 5 stars
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    24K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Google Cloud

    Mendeploy dan Menskalakan Model AI dengan Cloud Run

    Skills you'll gain: Generative AI, Model Deployment, Google Cloud Platform, Cloud Deployment, Serverless Computing, Application Deployment, Containerization, Machine Learning Methods, Scalability, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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

  • AI in Supply Chain: AI CERTs
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Automate Cybersecurity Tasks with Python: Google
  • IBM AI Enterprise Workflow: IBM
  • AI for Design and Optimization: University of Michigan
  • Explainable AI (XAI): Duke University
  • Fundamentals of Computing: Rice University
  • Optimize and Migrate Vectors: Coursera
  • AI Applications in Marketing and Finance: University of Pennsylvania
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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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