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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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    EDUCBA

    Analyze & Build a Churn Prediction Model in R

    Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

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    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    848 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Image Analysis, LLM Application, Applied Machine Learning, Data Flow Diagrams (DFDs), Embeddings, Docker (Software), Prompt Engineering, Generative AI, Context Management, Large Language Modeling, Simulations, Data-oriented programming, Artificial Neural Networks, Data Import/Export, Data Ethics, Data Pipelines, Python Programming, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

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    Multiple educators

    IBM and ISC2 Cybersecurity Specialist

    Skills you'll gain: Incident Response, Digital Forensics, Network Security, Computer Security Incident Management, Cloud Computing Architecture, Penetration Testing, Cloud Services, Business Continuity, Cloud Deployment, Disaster Recovery, Security Controls, Generative AI, Configuration Management, Governance, Cybersecurity, Data Storage, Peripheral Devices, Application Security, Information Technology, Cryptography

    4.7
    Rating, 4.7 out of 5 stars
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    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    SkillsBooster Academy

    Building Basic AI Agents

    Skills you'll gain: Prompt Engineering, LLM Application, Generative AI Agents, Make.com, ChatGPT, AI Orchestration, AI Workflows, Generative AI, Agentic systems, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Large Language Modeling, Artificial Intelligence, Workflow Management, Automation, Creativity, Machine Learning, Content Management, Digital Marketing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    361 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, Distributed Computing, Linear Algebra, Computer Graphics, Hardware Architecture, Mathematical Software, Numerical Analysis, Programming Principles, Computer Architecture, System Programming, Program Development, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
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    194 reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    249 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Data-Driven Apps with Core Data, ML, and App Architecture

    Skills you'll gain: Apple iOS, Core Data (Software), Application Design, Swift Programming, Apple Xcode, User Interface (UI), Mobile Development, Data Store, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Database Management, Software Design, Model View Controller, User Interface and User Experience (UI/UX) Design, Application Development

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Software Development

    4.6
    Rating, 4.6 out of 5 stars
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    839 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

  • Analyze & Build a Churn Prediction Model in R: EDUCBA
  • Prediction and Control with Function Approximation: University of Alberta
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • IBM and ISC2 Cybersecurity Specialist: IBM
  • Building Basic AI Agents: SkillsBooster Academy
  • MathWorks Computer Vision Engineer: MathWorks
  • Optimize and Manage Your ML Codebase: Coursera
  • GPU Programming: Johns Hopkins University
  • Introduction to Neural Networks and PyTorch: IBM
  • Matrix Methods: University of Minnesota

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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