Python Essentials for MLOps is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills.
Python Essentials for MLOps
Duke University课程信息
11,156 次近期查看
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100% 在线
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中级
Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.
完成时间大约为22 小时
英语(English)
您将学到的内容有
Work with logic in Python, assigning variables and using different data structures.
Write, run and debug tests using Pytest to validate your work.
Interact with APIs and SDKs to build command-line tools and HTTP APIs to solve and automate Machine Learning problems.
您将获得的技能
- Information Engineering
- MLOps
- Machine Learning
- Python Programming
- Test Automation
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。
中级
Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.
完成时间大约为22 小时
英语(English)
授课大纲 - 您将从这门课程中学到什么
完成时间为 5 小时
Introduction to Python
完成时间为 5 小时
19 个视频 (总计 63 分钟), 3 个阅读材料, 1 个测验
完成时间为 5 小时
Python Functions and Classes
完成时间为 5 小时
17 个视频 (总计 60 分钟), 2 个阅读材料, 1 个测验
完成时间为 5 小时
Testing in Python
完成时间为 5 小时
17 个视频 (总计 66 分钟)
完成时间为 5 小时
Introduction to Pandas and NumPy
完成时间为 5 小时
17 个视频 (总计 60 分钟)
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