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Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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Google Cloud

Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

Advance your career as a Cloud ML Engineer.

87,439 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

from 4,964 reviews of courses in this program

Intermediate level

Recommended experience

2 months to complete
at 10 hours a week
Earn a career credential that demonstrates your expertise

from 4,964 reviews of courses in this program

Intermediate level

Recommended experience

2 months to complete
at 10 hours a week

What you'll learn

  • Learn the skills needed to be successful in a machine learning engineering role

  • Prepare for the Google Cloud Professional Machine Learning Engineer certification exam

  • Understand how to design, build, productionalize ML models to solve business challenges using Google Cloud technologies

  • Understand the purpose of the Professional Machine Learning Engineer certification and its relationship to other Google Cloud certifications

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Flexible schedule
Learn at your own pace

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Professional Certificate - 2 course series

Production Machine Learning Systems

Production Machine Learning Systems

Course 1, 19 hours

What you'll learn

  • Compare static versus dynamic training and inference

  • Manage model dependencies

  • Set up distributed training for fault tolerance, replication, and more

  • Export models for portability

Skills you'll gain

Category: Tensorflow
Category: Model Training
Category: Model Deployment
Category: Performance Tuning
Category: Google Cloud Platform
Category: Dependency Analysis
Category: Data Pipelines
Category: Hybrid Cloud Computing
Category: Distributed Computing
Category: Model Optimization
Category: Machine Learning
Category: Systems Design
Category: MLOps (Machine Learning Operations)
Machine Learning Operations (MLOps): Getting Started

Machine Learning Operations (MLOps): Getting Started

Course 2, 4 hours

What you'll learn

  • Identify and use core technologies required to support effective MLOps.

  • Adopt the best CI/CD practices in the context of ML systems.

  • Configure and provision Google Cloud architectures for reliable and effective MLOps environments.

  • Implement reliable and repeatable training and inference workflows.

Skills you'll gain

Category: MLOps (Machine Learning Operations)
Category: Model Deployment
Category: CI/CD
Category: AI Workflows
Category: Model Training
Category: Cloud Deployment
Category: DevOps
Category: Model Evaluation
Category: Automation
Category: Google Cloud Platform
Category: Devops Tools
Category: Continuous Deployment

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Instructor

Google Cloud Training
Google Cloud
2,272 Courses4,443,756 learners

Offered by

Google Cloud

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Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2025 - 7/1/2026)