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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-ops-on-google-cloud-real-world-data-science/
课程评论：没有评论
课程名称：谷歌云上的真实世界端到端机器学习操作（MLOps） 课程概述： 谷歌云平台（GCP）在当今云计算环境中不断发展，MLOps在流线型机器学习项目中变得不可或缺。在数据科学的旅程中，从创建模型到使其投入使用之间的步骤往往被忽视，但这一过程至关重要，这一过程被称为机器学习操作（MLOps）。本课程将深入探讨GCP提供的一些强大工具，以帮助简化这个过程。 课程内容包含： - 使用Cloud Build进行持续集成与持续部署（CI/CD） - 利用Airflow进行机器学习工作流编排的持续训练：编写测试用例 - 使用Python应用Vertex AI生态系统 - 使用Kubeflow Pipelines进行机器学习工作流及可重用的机器学习组件 - 部署实用应用程序，利用GCP的PaLM大语言模型生成AI 选择这门课程的理由： - 课程为具有编程背景的初学者量身定制：具备基本的数据科学理解和技能即可入门，我们将引导您学习其他内容。 - 实践学习：我们相信实践出真知，在整个课程中，真实世界的项目将帮助您掌握概念并自信地应用。 - GCP专业机器学习认证备考：本课程不仅旨在深入理解和实施，也为那些希望获得GCP专业机器学习认证的人打下坚实基础。 课程收获： 通过本课程的学习，您不仅能理解MLOps背后的理论，还将具备实施的能力。所获得的实践经验将使您能够自信地应对真实世界的机器学习挑战。机器学习在当今世界的重要性不容小觑，随着其需求的上升，熟悉MLOps的专业人才需求也在增加。本课程旨在缩小模型开发与操作卓越之间的差距，使机器学习不仅仅是编码练习，而是有效解决现实问题的重要资产。 如果您渴望提升自己的机器学习旅程，并理解如何在强大的谷歌云平台上真正发挥模型的有效性，这门课程将为您提供良好的机会。让我们一起深入探索，学习，并让机器学习为现实世界服务！
Google Cloud Platform is gaining momentum in today's cloud landscape, and MLOps is becoming indispensable for streamlined machine learning projectsIn the fascinating journey of Data Science, there's a significant step between creating a model and making it operational. This step is often overlooked but is crucial - it's called Machine Learning Ops (MLOps). Google Cloud Platform (GCP) offers some powerful tools to help streamline this process, and in this course, we're going to delve deep into them.Topics covered in the course : CI/CD Using Cloud Build,Container and Artifact RegistryContinuous Training using Airflow for ML Workflow Orchestration: Writing Test Cases Vertex AI Ecosystem using PythonKubeflow Pipelines for ML Workflow and reusable ML componentsDeploy Useful Applications using PaLM LLM of GCP Generative AI Why Take This Course? Tailored for Beginners with programming background: A basic understanding and expertise of data science is enough to start. We'll guide you through everything else.Practical Learning: We believe in learning by doing. Throughout the course, real-world projects will help you grasp the concepts and apply them confidently.GCP Professional ML Certification Prep: While the aim is thorough understanding and implementation, this course will also provide a strong foundation for those aiming for the GCP Professional ML Certification.Your TakeawaysBy the end of this course, you won't just understand the theory behind MLOps, you'll be equipped to implement it. The practical experience gained will empower you to handle real-world ML challenges with confidence.The relevance of machine learning in today's world is undeniable, and with the rise of its importance, there's an increasing demand for professionals skilled in MLOps. This course is designed to bridge the gap between model development and operational excellence, making ML more than just a coding exercise but a tangible asset in solving real-world problems.So, if you're eager to elevate your ML journey and understand how to make your models truly effective on a platform as powerful as Google Cloud, this course awaits you. Dive in, explore, learn, and let's make ML work for the real world together!
