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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


  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • P

    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

  • D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    AI Agents with Model Context Protocol & Typescript

    Skills you'll gain: Model Context Protocol, AI Workflows, Generative AI Agents, AI Orchestration, Agentic systems, LLM Application, Tool Calling, Prompt Patterns, AI Enablement, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering Tools, TypeScript, Prompt Engineering, AI Personalization, ChatGPT, Artificial Intelligence, Multimodal Prompts, Anthropic Claude, AI Product Strategy

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • A

    AI CERTs

    AI for Research & Analysis

    Skills you'll gain: Responsible AI, Predictive Modeling, Data Analysis, Research, AI Product Strategy, Statistical Analysis, Data Preprocessing, Data Science, Research Methodologies, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Generative AI, Research and Design, Research Reports, Ethical Standards And Conduct, Qualitative Research, Emerging Technologies

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Jupyter, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Portfolio and Industry Readiness for Agentic AI Architects

    Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, AI Orchestration, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Data Presentation, Professional Development, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Verbal Communication Skills, Project Documentation, Communication Strategies, GitHub

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Network Analysis, Markov Model, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Statistical Analysis, Biology, Algorithms, Data Preprocessing, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Data-Driven Apps with Core Data, ML, and App Architecture: Packt
  • PyTorch: Fundamentals: DeepLearning.AI
  • Feature Engineering: Google Cloud
  • AI Agents with Model Context Protocol & Typescript: Vanderbilt University
  • Genomic Data Science: Johns Hopkins University
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • AI for Research & Analysis: AI CERTs
  • Optimize ML Dev: Version, Reproduce, and Save: 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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