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.
42credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • 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: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API

  • Status: Free

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

  • 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, Cloud Computing, Serverless Computing

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

  • 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: 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

    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: Free Trial

    Skills you'll gain: Responsible AI, Cloud Security, Generative AI, Data Ethics, Information Privacy, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Open Source Technology, Safety and Security, Tensorflow, Machine Learning, Data Quality

  • Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Machine Learning

  • Status: Preview

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

  • 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

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