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: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, MLOps (Machine Learning Operations)

    Intermediate · Project · Less Than 2 Hours

  • 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

  • Status: New

    Google Cloud

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

    Beginner · Course · 1 - 3 Months

  • Status: New

    Google Cloud

    Skills you'll gain: Prompt Engineering, Generative AI, LLM Application, Google Cloud Platform, Application Deployment, Large Language Modeling, MLOps (Machine Learning Operations)

    Intermediate · Course · 1 - 3 Months

  • 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

  • Universidad de los Andes

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

    Earn a degree

    Degree · 1 - 4 Years

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, LLM Application, Supervised Learning, Semantic Web, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Reinforcement Learning, Stakeholder Management, Computer Vision, MLOps (Machine Learning Operations), Biomedical Engineering, Natural Language Processing, Artificial Intelligence, Deep Learning, Data Ethics, Game Theory, Probability & Statistics, Machine Learning Methods, Responsible AI

    Earn a degree

    Degree · 1 - 4 Years