Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems
Offered By: LinkedIn Learning
Course Description
Overview
Learn about the Google Professional Machine Learning Engineer certification exam, and topics relating to the first part of the exam, framing ML problems.
Syllabus
Introduction
- Course and Google Professional Machine Learning Engineer exam overview
- Course 1 key terminology
- Building AI-enabled workflows
- Using AI tools to build AI tools
- Teaching MLOps at scale with GitHub
- Simulations vs. experiment tracking
- When to use ML
- Supervised vs. unsupervised ML
- Optimization
- Clustering
- Defining business success criteria
- MLOps hierachy of needs
- Hidden costs of bespoke systems
- Data poisoning
- Next steps
Taught by
Noah Gift
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