Professional Machine Learning EngineerBETA

Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.

Which Google Cloud certification is right for you?

The developer certification path is organized into 3 levels: Fundamentals, Associate and Expert.

Explore self-based on demand courses offered via Coursera, Pluralsight, and Qwiklabs. Complete the recommended curriculum:

Broaden your knowledge with additional self-paced labs and quests:

  • Scientific Data Processing 
  • Data Science on Google Cloud Platform

Take advantage of instructor-led sessions offered via our global network of authorized training partners.

Get extra practice with Google Cloud through self-paced exercises covering a single topic or theme offered via Qwiklabs.

Complete the recommended quests and labs:

  • Create and Manage Cloud Resources 
  • Foundational Data, ML, and AI tasks 
  • Machine Learning APIs 
  • Explore Machine Learning Models 
  • Intermediate ML: Tensorflow on GCP 
  • Advanced ML: Infrastructure 
  • Scientific Data Processing 
  • Data Science on Google Cloud Platform 

Developer certifications

Explore developer certifications most sought after by employers 

Microsoft Certified: Azure Developer Associate

Requirements: Exam AZ-203

Microsoft Certified: Dynamics 365: Finance and Operations Apps Developer Associate

Requirements: Exam AZ-203

Microsoft Certified: Azure Developer Associate

Requirements: Exam AZ-203

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