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Google Cloud Professional Machine Learning Engineer Cert Prep: 2 Architecting ML Solution

via LinkedIn Learning

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Overview

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Learn about architecting machine learning solutions in preparation for the Google Professional Machine Learning Engineer certification exam.

Syllabus

Introduction

Overview
Course 2 key terminology
Cloud developer workspace advantage

1. Designing a Reliable, Scalable, and Highly Available ML Solution

What is continuous delivery?
Containerized ML microservices
SRE mindset for MLOps
Reproducible workflow
Learn continuous integration

2. Choosing Appropriate Google Cloud Hardware Components

Selecting heavy vs. light MLOps
Key components of MLOps landscape
Feature store vs. data warehouse
Compute choice

Conclusion

Next steps

Taught by

Noah Gift

Reviews

4.7 rating at LinkedIn Learning based on 22 ratings

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