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: Preview

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

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

  • Status: Preview

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

  • 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: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Big Data, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

  • 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: 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), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Machine Learning, Containerization, Continuous Monitoring

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

  • 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: 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)

  • Status: Preview

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

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