https://learn.acloud.guru/course/7515c54f-d504-4274-977f-fe6cc9532148/overview

This course will teach you everything you need to know to pass the Google Cloud Certified Professional Machine Learning Engineer exam. You will also gain the skills to develop practical Machine Learning solutions on Google Cloud.  In this course, Google Cloud Certified Professional Machine Learning Engineer, you’ll learn to develop, manage, maintain and utilize Google Cloud machine learning tools and workflows, and gain the knowledge needed to pass the Google Cloud Certified Professional Machine Learning Engineer exam.  First, you’ll learn how to Frame Machine Learning Problems. You’ll have the skills necessary to choose the best ML solution for a task, to define ML problems, to understand ML success criteria, and identify risks to feasibility of ML solutions.  Next, you’ll gain the skills needed to Architect ML solutions. You’ll be able to design effective ML solutions, choose hardware components, and design security compliant architecture.  After that, you’ll learn how to design data preparation and processing systems. This will give you the skills to explore data with statistics and visualizations, build data pipelines, and engineer features.  Following that, you’ll discover ML Model Development. You’ll learn to build models, train models, test models and scale them.