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: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Cloud Computing, Data Transformation, Continuous Monitoring

    4.6
    Rating, 4.6 out of 5 stars
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud Platforms, Artificial Intelligence, Machine Learning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    283 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Application Deployment, Automation, Data Processing, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Machine Learning Methods, Continuous Integration, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Continuous Deployment, Application Deployment, Software Development Life Cycle, Automation, Cloud Solutions, Continuous Integration, Machine Learning, Applied Machine Learning, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Automation, Cloud Solutions, Continuous Deployment, Machine Learning, Containerization, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, Continuous Deployment, Automation, Continuous Integration, Continuous Monitoring, Scalability, Data Management

    Intermediate · 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

  • Status: Free Trial

    Microsoft

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Board Infinity

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks