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)"

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Distributed Computing, Applied Machine Learning, Scalability, Data Pipelines, Data Processing

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Unstructured Data, Advanced Analytics, Predictive Modeling, Jupyter, Data Pipelines, Artificial Intelligence, Natural Language Processing

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Skills you'll gain: Generative AI, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Artificial Intelligence, Predictive Modeling, Cloud Infrastructure, Machine Learning, Natural Language Processing

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Data Pipelines, Cloud API, Big Data, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Google Cloud Platform, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Machine Learning, Containerization, Continuous Monitoring

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Business Workflow Analysis, Data Management, Cloud Management, Data Governance, Applied Machine Learning, Data Pipelines, Machine Learning, Artificial Neural Networks, Predictive Analytics, Continuous Monitoring

  • Status: Preview

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Data Processing, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Data Governance, MLOps (Machine Learning Operations), Data Management, Workflow Management, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Predictive Modeling, Machine Learning, Feature Engineering, Performance Tuning, Continuous Monitoring

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