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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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    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    339 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    AI CERTs

    AI Foundations & Design Thinking

    Skills you'll gain: Design Thinking, Responsible AI, Design, User Experience Design, Creative Design, Persona (User Experience), Design and Product, User Interface and User Experience (UI/UX) Design, Data Ethics, Artificial Intelligence, UI/UX Strategy, Innovation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Building AI Agents – Fundamentals to Advanced

    Skills you'll gain: Email Automation, Agentic Workflows, AI Workflows, Multimodal Prompts, Tool Calling, Calendar Management, Machine Learning Methods, Scheduling, AI Security, Text Mining, Classification Algorithms, JSON

    Intermediate · Course · 1 - 3 Months

  • Status: Free
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    M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    195 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    838 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Tensorflow, Dataflow, Google Cloud Platform, Data Pipelines, Data Import/Export, Feature Engineering, Real Time Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Model Deployment, Big Data, Data Infrastructure, Data Migration, Unstructured Data, MLOps (Machine Learning Operations), PySpark

    4.4
    Rating, 4.4 out of 5 stars
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    289 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    372 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Generative AI Using SAS: SAS
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Structurer des projets d’apprentissage automatique: DeepLearning.AI
  • AI Foundations & Design Thinking: AI CERTs
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Building AI Agents – Fundamentals to Advanced: Packt
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • Customising your models with TensorFlow 2: Imperial College London
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Introduction to Data Science and scikit-learn in Python: LearnQuest

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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