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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mlops-masters/
课程评论：没有评论
**课程名称：** MLOps Masters **课程概述：** 本课程旨在帮助学员掌握将机器学习模型高效、稳定地部署到生产环境并进行规模化维护。课程将涵盖从模型开发到部署、监控的整个机器学习生命周期，帮助学员构建可靠、可扩展的MLOps流水线，实现CI/CD。 **核心内容：** * **模型版本管理、追踪与可复现性** * **ML的持续集成/持续交付（CI/CD）** * **MLOps工具介绍（如MLflow, Kubeflow, TensorFlow Extended (TFX)）** * **数据流水线与特征工程自动化** * **生产环境中模型的监控与漂移检测** * **ML工作流的合规性、安全性和治理** **目标学员：** 数据科学家、ML工程师、软件开发人员。 **课程特色：** 通过实际案例和动手实验，学员将获得优化ML流水线、减少停机时间、提升团队协作的能力。学完本课程，学员将能够信心十足地交付可扩展、可靠、生产级的机器学习解决方案。
In today's rapidly evolving AI landscape, deploying machine learning models to production and maintaining them at scale requires a blend of cutting-edge tools, streamlined workflows, and robust operational practices. This course on MLOps (Machine Learning Operations) is your ultimate guide to mastering the art of integrating machine learning into real-world production systems seamlessly and efficiently.Designed for data scientists, ML engineers, and developers, this course walks you through the end-to-end lifecycle of machine learning, from model development to deployment and monitoring. You'll learn how to bridge the gap between data science and DevOps, implementing reliable, scalable, and efficient pipelines for continuous integration and delivery of ML models.This course covers essential MLOps concepts such as:Model versioning, tracking, and reproducibility.Continuous integration/continuous delivery (CI/CD) for ML.Tools like MLflow, Kubeflow, and TensorFlow Extended (TFX).Automating data pipelines and feature engineering.Monitoring models in production and detecting drift.Ensuring compliance, security, and governance in ML workflows.With practical examples and hands-on labs, you'll gain real-world skills to optimize your ML pipelines, reduce downtime, and enhance collaboration between teams. By the end of this course, you'll be equipped to deliver scalable, reliable, and production-ready machine learning solutions for any industry.Transform your passion for machine learning into real-world impact by mastering the tools and skills to deploy and scale with confidence!
