Google has just opened the gates to a new ML Engineer certificate. Before you charge in, bear in mind that this is geared towards professionals who want to display their competency in topics like distributed model training and scaling to production.

Students who don’t have practical work experience would be better served by first doing hands-on projects.

Where to Start

Getting this certificate won’t be easy. In fact, looking at the exam guide, you need very in-depth knowledge in six areas, including highly specialized topics like permission issues, dataset lineage, and data feasibility.

That’s why Google recommends you have 3+ years of experience with GCloud products. If you do fit that profile, then this certificate is extremely valuable for one simple reason. No one has it yet.

To remind you of the most basic lesson in economics: As supply increases, demand decreases.

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