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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


  • V

    Voxy

    Beginner English: Places and Getting Around

    Skills you'll gain: Verbal Communication Skills, Oral Comprehension, English Language, Vocabulary, Language Learning, Communication, Grammar

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations

    Intermediate · Course · 3 - 6 Months

  • I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Data Literacy, Data Mining, Jupyter, Data Modeling, Relational Databases, Stored Procedure, Model Deployment, Databases, Data Science, Big Data, Query Languages, Data Preprocessing, Data Cleansing, Cloud Computing, Data Analysis, Digital Transformation, Data-Driven Decision-Making, Model Evaluation, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • D

    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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • N

    Novartis

    Representation in Clinical Trials

    Skills you'll gain: Health Disparities, Health Equity, Diversity Training, Clinical Trials, Clinical Research, Diversity Awareness, Clinical Research Ethics, Diversity Equity and Inclusion Initiatives, Cultural Diversity, Medical Science and Research, Cultural Sensitivity, Informed Consent, Social Determinants Of Health, Healthcare Ethics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • V

    Voxy

    Intermediate English: Social Interactions

    Skills you'll gain: Social Skills, Interpersonal Communications, Education Software and Technology, Relationship Building, English Language, Verbal Communication Skills, Professional Development, Communication, Communication Strategies, Active Listening, Vocabulary, Language Learning, Grammar

    Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 3 Months

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

  • Beginner English: Places and Getting Around: Voxy
  • Introduction to Generative AI : Google Cloud
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • AI Engineer Associate: Packt
  • Modern Graph Theory Algorithms with Python: Packt
  • Introduction to Data Science: IBM
  • Build Predictive & Supervised Models: Coursera
  • DevOps, DataOps, MLOps: Duke University
  • AI Agents and MLOps for Production-Ready AI: Packt
  • Representation in Clinical Trials: Novartis

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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