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: 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

  • Status: Preview

    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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

  • Amazon Web Services

    Skills you'll gain: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, MLOps (Machine Learning Operations), Application Performance Management, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality

  • Status: Preview

    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

  • Status: Free Trial

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy

  • Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps, Applied Machine Learning

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Google Cloud Platform, Feature Engineering, Data Modeling, Machine Learning Methods, Data Storage, Data Processing, Applied Machine Learning, Data Quality

  • Status: New

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

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

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