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

    Skills you'll gain: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning

  • Status: New
    Status: Free Trial
    Status: AI skills

    Amazon Web Services

    Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, LLM Application, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Solution Architecture, Data Management

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Artificial Neural Networks, Machine Learning, Data Processing, Scalability

  • Status: Free Trial

    Duke University

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, Continuous Monitoring, Data Ethics, Secure Coding, Responsible AI, Application Deployment, Generative AI, Serverless Computing, Cloud Computing

  • Status: New
    Status: Preview

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Amazon Web Services, Cloud Security, Artificial Intelligence, Large Language Modeling, Software Development Life Cycle, Prompt Engineering, Human Centered Design, Data Governance

  • Status: New
    Status: Free Trial

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Cloud Computing, Data Pipelines, Application Lifecycle Management, Application Deployment, Data Management, Virtual Machines, Applied Machine Learning, Data Processing, Real Time Data, Development Environment

  • Skills you'll gain: MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Forecasting, Feature Engineering, Data Transformation, Predictive Modeling, Applied Machine Learning, Data Pipelines, Deep Learning

  • Status: New
    Status: Free Trial

    Amazon Web Services

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning

  • Status: Preview

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Security, Natural Language Processing

  • Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Cloud Computing

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Software Versioning, Data Store, Metadata Management

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