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所在平台: Udemy |
课程主页: https://www.udemy.com/course/comprehensive-mlops-bootcamp-from-basics-to-advanced-tools/
课程评论：没有评论
课程名称：全面的MLOps实训营：从基础到高级工具 课程概述：欢迎来到MLOps的终极学习之旅——这是通向掌握机器学习运维的门户，重点关注实际应用和先进技术。我们的课程不仅仅是一次教育体验；它是探索MLOps世界的转型之旅。由于85%的机器学习项目未能成功投入生产，MLOps专业人才的需求正急剧上升。MLOps市场在2019年的估值为232亿美元，预计到2025年将飙升至1260亿美元。本课程是您抓住这些蓬勃机会的通行证。 我们的综合课程设计周密，涵盖MLOps的每个方面。您将深入学习模型开发、版本管理、注册和性能监控，掌握CI/CD、云部署、模型服务、API集成和Web应用程序开发，使模型顺利过渡到生产环境。我们不仅仅是教授知识，还提供指导，确保学习体验既富有信息性又引人入胜。通过图形化培训、实际操作、真实世界实验室和可下载的学习指南，您将掌握MLOps所需的全部知识。 参与本课程，您将获得： - 牢固的MLOps基础：理解MLOps的核心原则、传统ML模型管理中的挑战，以及MLOps所提供的有效解决方案。 - 高级工具掌握：使用尖端的MLOps工具实现端到端项目。 - 使用MLFlow进行模型版本管理：掌握使用MLFlow来管理机器学习生命周期的模型版本和注册。 - 自动化ML和低代码MLOps：发现使用Auto-ML和低代码库（如Pycaret）自动化机器学习模型开发的力量。 - 可解释性和审计性：深入了解模型的可解释性、可审计性及数据漂移管理，使用SHAP和Evidently。 - 使用Docker的容器化ML工作流：学习如何使用Docker有效打包和分发机器学习应用程序。 - 生产环境中的ML部署：掌握通过FastAPI和Flask进行API开发，实现模型部署，学习在Azure上进行云部署。 - Web应用程序开发：使用Gradio、Flask和HTML开发嵌入式ML模型的Web应用程序，并在Azure上进行部署。 - Azure云掌握：在Azure云中训练、部署和使用模型，获得动手的云计算经验。 现在报名，您将终身获得： - 一本广泛的MLOps培训指南（PDF电子书）。 - 可下载的资源，包括代码文件和工具。 - 实际实验室体验和实践练习。 - 互动测验检测您的知识。 - 独特的备忘单和额外学习材料。 - 一对一专家支持。 - 专门的课程问答论坛。 - 风险-free的30天退款保证。 准备好提升您的MLOps技能、拓展职业机会，并成为数据科学领域备受追捧的专业人士吗？立即加入我们，成为塑造机器学习运维未来的社区的一部分！
Welcome to the ultimate learning journey in MLOps - your gateway to mastering Machine Learning Operations with a focus on real-world application and advanced technologies. Our course is more than just an educational experience; it's a transformational journey into the world of MLOps.With a staggering 85% of Machine Learning projects failing to reach production, the need for skilled MLOps professionals is soaring. The MLOps market, valued at $23.2 billion in 2019, is expected to skyrocket to $126 billion by 2025. This course is your ticket to seizing these burgeoning opportunities.Our comprehensive curriculum is meticulously designed to cover every aspect of MLOps. You'll dive deep into model development, versioning, registration, and performance monitoring. Learn the ins and outs of CI/CD, cloud deployment, model serving, API integration, and web application development to seamlessly transition models into production.We don't just teach; we mentor. Our course provides clear, professional guidance every step of the way, ensuring a learning experience that's as informative as it is engaging. We offer a blend of visual training, hands-on exercises, real-world labs, and downloadable study guides, making this the only course you'll ever need to master MLOps from start to finish.Here's what you'll gain from our course:Robust MLOps Foundation: Understand the core principles of MLOps, the challenges in traditional ML model management, and how MLOps offers effective solutions.Advanced Tool Mastery: Learn to implement end-to-end projects with cutting-edge MLOps tools.Model Versioning with MLFlow: Master model versioning and registration using MLFlow, an industry-standard platform for managing the ML lifecycle.Auto-ML and Low-code MLOps: Discover the power of automating ML model development using Auto-Ml and low-code libraries like Pycaret.Explainability and Auditability: Delve into model interpretability, explainability, auditability, and data drift management using SHAP and Evidently.Containerized ML Workflow with Docker: Learn to use Docker for efficient packaging and distribution of your ML applications.Deploying ML in Production: Master model deployment through API development with FastAPI and Flask, and learn cloud deployment on Azure.Web Application Development: Develop web applications with embedded ML models using Gradio, Flask, and HTML, and deploy them on Azure.Azure Cloud Mastery: Train, deploy, and consume models in Azure Cloud, gaining hands-on cloud computing experience.Enroll today and get lifetime access to:- An extensive MLOps Training Guide (PDF e-book).- Downloadable resources including code files and tools.- Real-world lab experiences and practical exercises.- Interactive quizzes to test your knowledge.- Exclusive cheat sheets and additional learning materials.- One-on-one expert support.- A dedicated course Q & A forum.- A risk-free 30-day money-back guarantee.Are you ready to elevate your MLOps skills, expand your career opportunities, and become a sought-after professional in the data science field? Join us now and be part of a community that's shaping the future of Machine Learning Operations!
