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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
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    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    208 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    531 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, Data Analysis, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.4
    Rating, 4.4 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, Workflow Management, No-Code Development, Model Deployment, Natural Language Processing, AI Enablement, Analytics, Data Analysis, Artificial Intelligence, Self Service Technologies, Machine Learning, Prototyping, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Real Madrid Graduate School Universidad Europea

    Theoretical Bases of Health and Injury Management

    Skills you'll gain: Kinesiology, Applied Machine Learning, Bayesian Network, Machine Learning, Data-Driven Decision-Making, Epidemiology, Load Balancing, Health Education, Data Integration, Systems Engineering, Psychological Evaluations

    Beginner · Course · 1 - 4 Weeks

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

  • DevOps, DataOps, MLOps: Duke University
  • Traverse Trees for ML with DFS & BFS: Coursera
  • What is Data Science? : IBM
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • AI For Medical Treatment: DeepLearning.AI
  • Generative AI for Data Scientists: IBM
  • Choose Optimal Data Structures for ML: Coursera
  • Data Science Beyond the Basics (ML+DS): Coursera
  • AI Foundations for Everyone: IBM
  • Generative AI: Introduction and Applications: IBM

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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