MLOps (Machine Learning Operations)

MLOps (Machine Learning Operations) is an engineering discipline that aims to unify machine learning system development and machine learning system operations. Coursera's MLOps catalogue teaches you how to streamline and regulate the process of deploying, testing, and improving machine learning models in production. You'll learn about essential elements of MLOps such as data and model versioning, model testing, monitoring, and validation, as well as robust strategies for deploying and maintaining ML models. By the end of your learning journey, you will be able to effectively manage the ML lifecycle, understand the role of automation in MLOps, and leverage best practices to bring data science and IT operations together.
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Results for "mlops (machine learning operations)"

  • Google Cloud

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Business Metrics, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Verification And Validation, Responsible AI, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    NVIDIA

    Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, Infrastructure Architecture, Data Infrastructure, Artificial Neural Networks, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    424 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

    4.5
    Rating, 4.5 out of 5 stars
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Verification And Validation, Performance Testing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Predictive Modeling, Responsible AI, Google Cloud Platform, Machine Learning, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Microsoft

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Classification And Regression Tree (CART), MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Predictive Modeling, Data Validation, Responsible AI, Google Cloud Platform, System Monitoring, Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Computer Vision, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage, Continuous Deployment, Data Processing, Data Management, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Management, Data Storage, Data Quality, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality

    Intermediate · Course · 1 - 4 Weeks