01
Professional Machine Learning Engineer Study Guide
01
Professional Machine Learning Engineer Study Guide
This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
课程信息
目标
- List the domains covered on the Professional Machine Learning Engineer (PMLE) certification exam.
- Identify gaps in your knowledge and skills for each domain.
- Identify resources and learning assets available to develop your knowledge and skills.
- Create a study plan to prepare for the PMLE certification exam.
前提条件
Working proficiency with Python on topics covered in the Google Crash Course on Python.
Prior experience with foundational machine learning concepts and deep learning models, as well as familiarity with model evaluation, bias-variance tradeoff, overfitting, and regularization techniques are recommended.
受众
This course is intended for individuals with a strong technical background and hands-on experience in machine learning (ML) who want to demonstrate their expertise in designing, building, and deploying machine learning solutions on Google Cloud.
支持的语言
English
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
有兴趣通过我们的点播课程合作伙伴之一来学习本课程吗
在 Coursera 和 Pluralsight 上探索 Google Cloud 内容
更喜欢跟随讲师学习？