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: New

    Google Cloud

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 3 Months

  • Status: New

    Google Cloud

    Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, AI Product Strategy, Cloud Infrastructure, Artificial Intelligence, Responsible AI, Cloud Computing Architecture, MLOps (Machine Learning Operations), Business

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations)

    Intermediate · Course · 1 - 4 Weeks

  • Universidad de los Andes

    Skills you'll gain: Social Network Analysis, Systems Thinking, Reinforcement Learning, Data Storytelling, Unsupervised Learning, Computer Vision, Deep Learning, Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, Statistical Analysis, Financial Data, Marketing Analytics, MLOps (Machine Learning Operations), Strategic Decision-Making, Descriptive Analytics, Simulations, Random Forest Algorithm, Operations Research, Stakeholder Engagement

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    Degree · 1 - 4 Years

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