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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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    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), Continuous Deployment, LLM Application, Frontend Performance, AI Security, Model Evaluation, Performance Tuning, Applied Machine Learning, Other Programming Languages, Large Language Modeling, Performance Testing, Cryptographic Protocols

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Tsinghua University

    MOOC and Blended Learning

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation

    4.2
    Rating, 4.2 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

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    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Oral Comprehension, Traffic Flow Optimization, Vocabulary, Public Works, Literacy, Water Quality, Language Learning, Environmental Engineering, Robotics, Display Devices, Grammar, Biochemistry

    4.8
    Rating, 4.8 out of 5 stars
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    111 reviews

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Deep Learning for AI Part 2

    Skills you'll gain: Generative AI, Generative Model Architectures, Multimodal Prompts, Large Language Modeling, Deep Learning, Recurrent Neural Networks (RNNs), Responsible AI, Embeddings, Musical Composition, Music, Autoencoders, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Beginner · Specialization · 1 - 3 Months

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    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    653 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5
    Rating, 5 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Production ML with Hugging Face: Pragmatic AI Labs
  • Practical Deep Learning with Python: Edureka
  • MOOC and Blended Learning: Tsinghua University
  • Fundamentals of Deep Learning: Whizlabs
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
  • Deep Learning for AI Part 2: Northeastern University
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • Deep Learning for Object Detection: MathWorks
  • Apply Test-Driven ML Code: Coursera

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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