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.
40credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Status: New
    Status: Preview

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing

  • 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, 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, Cost Management, Solution Architecture, Data Management

  • 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

  • Status: Free

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

  • 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: 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: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Systems Design, Google Cloud Platform, Data Infrastructure, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Modeling, Cloud Security, Data Visualization, Data Migration, Data Storage Technologies, Scalability

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Business Process Automation, Generative AI Agents, Generative AI, Automation, Performance Measurement, No-Code Development, Responsible AI, Process Optimization, Business Workflow Analysis, MLOps (Machine Learning Operations), System Monitoring, Scalability, Performance Analysis, Performance Management

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Metadata Management, Application Lifecycle Management, PyTorch (Machine Learning Library), Containerization, Scalability

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI Agents, Automation, No-Code Development, Prompt Engineering, MLOps (Machine Learning Operations), Process Optimization, System Monitoring, Performance Analysis, Performance Management

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment

  • Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning