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)"

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, 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

  • Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Google Cloud Platform, Data Modeling, Data Management, Data Storage, Data Import/Export, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Responsible AI, PyTorch (Machine Learning Library), Jupyter, Data Pipelines, Dataflow, Artificial Neural Networks, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Processing, Data Storage, DevOps, Data Modeling, Data Management, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)

    3.7
    Rating, 3.7 out of 5 stars
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks