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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: Preview
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    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, AI Enablement, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    301 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
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    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Model Deployment, Legal Risk, IBM Cloud, Prototyping

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics

    4.4
    Rating, 4.4 out of 5 stars
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    130 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Management, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    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, Model Deployment, Data Transformation, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Import/Export, Feature Engineering, Data Lakes, Real Time Data, Data Warehousing, Unstructured Data, Data Governance, Applied Machine Learning, Data Quality, Data Processing, Apache Spark, Dashboard, Data Infrastructure, Data Pipelines

    4.4
    Rating, 4.4 out of 5 stars
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    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    96 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Assistants

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Ideation, Verification And Validation, LLM Application, Productivity, OpenAI, AI Personalization, Responsible AI, AI Enablement, Creativity, Large Language Modeling, Artificial Intelligence, Risk Management Framework, Expense Management, Productivity Software, Travel Arrangements, Test Case

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    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

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

  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • Generative AI Application Integration Patterns: Packt
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Generative AI Fundamentals: IBM
  • Secure AI Code & Libraries with Static Analysis: Coursera
  • AI for Mechanical Engineers: University of Michigan
  • Learn SQL Basics for Data Science: University of California, Davis
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Data Analysis and Visualization with Python: Microsoft
  • Foundations of AI, LLMs, and Development Environments: Packt

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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