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LinkedIn Learning

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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