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, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New

    Google Cloud

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI, Machine Learning, A/B Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    SAS

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Microsoft

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    195 reviews

    Intermediate · Course · 1 - 3 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), Data Processing, Google Cloud Platform, Data Modeling, Data Management, Data Storage, Data Import/Export, 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

  • Status: Free Trial

    Whizlabs

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    39 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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), Google Cloud Platform, Data Modeling, Feature Engineering, Applied Machine Learning, Machine Learning Methods, Data Storage Technologies, Data Storage, Data Processing, Data Quality

    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