Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs.
本课程是 Building Cloud Computing Solutions at Scale 专项课程 专项课程的一部分
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第 4 门课程（共 4 门）
中级
Beginner level Linux and Python skills
完成时间大约为12 小时
英语（English）
字幕：英语（English）
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
中级
Beginner level Linux and Python skills
完成时间大约为12 小时
英语（English）
字幕：英语（English）
提供方
杜克大学
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
授课大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
Getting Started with Machine Learning Engineering
This week, you will learn about the methodologies involved in Machine Learning Engineering. By the end of the week, you will be able to develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications.
完成时间为 4 小时
15 个视频 （总计 47 分钟）, 5 个阅读材料, 1 个测验
完成时间为 4 小时
Using AutoML
This week, you will learn about AutoML and how to use it to build efficient Machine Learning solutions with little to no code. These technologies include Ludwig, Google AutoML, Apple Create ML and Azure Machine Learning Studio. You will apply these solutions by using both open source and Cloud AutoML technology.
完成时间为 4 小时
21 个视频 （总计 138 分钟）, 2 个阅读材料, 1 个测验
完成时间为 5 小时
Emerging Topics in Machine Learning
This week, you will learn MLOps strategies and best practices in designing Cloud solutions. Then, you will explore Edge Machine Learning and how to use AI APIs. You will apply these strategies to build a low code or no code Cloud solution that performs Natural Language Processing or Computer Vision.
完成时间为 5 小时
22 个视频 （总计 158 分钟）, 2 个阅读材料, 1 个测验
关于 Building Cloud Computing Solutions at Scale 专项课程
With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find. This Specialization is designed to address the Cloud talent gap by providing training to anyone interested in developing the job-ready, pragmatic skills needed for careers that leverage Cloud-native technologies.
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