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

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Microservices Courses MLOps Courses Continuous Integration Courses Containerization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

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

Related Courses

Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX Scalable Microservices with Kubernetes
Google via Udacity Introduction to Kubernetes
Linux Foundation via edX Architecting Distributed Cloud Applications
Microsoft via edX IBM Cloud: Deploying Microservices with Kubernetes
IBM via Coursera