Updated version of the Google Cloud Machine Learning Engineering Study guide with covers all 6 sections of the Exam in detail.

The Professional Machine Learning Engineer exam assesses your ability to:

• Architect low-code AI solutions
• Collaborate within and across teams to manage data and models
• Scale prototypes into ML models
• Serve and scale models
• Automate and orchestrate ML pipelines
• Monitor AI solutions

This Notebook LM Podcast goes in depth with all these sections.