Current

Advanced

Professional Machine Learning Engineer Certification

Cloud certs (Google ML Engineer) · Google Cloud · Updated March 2026

Platform rating

4.6/5

Champ rating

8.5/10

Duration

2-hour exam

Classes

8

Professional certification for designing, productionizing, scaling, and monitoring AI/ML solutions on Google Cloud, including generative AI task coverage.

What you'll get

Validate end-to-end ML engineering competency

Demonstrate model serving, scaling, and MLOps understanding

Showcase practical Google Cloud AI architecture knowledge

Strengthen credibility for production ML roles

Course Curriculum

4 chapters

Fit

Best for

Professionals

Managers

Teams

Operators

Not ideal for

Complete beginners

Non-technical learners

Prerequisites & pricing

Prerequisites

No formal prerequisites; recommended 3+ years industry experience with 1+ year on Google Cloud

Pricing

$200 exam fee

Certification

Certificate

Google Cloud Certification

ML Engineer

MLOps

Vertex AI

ShareCompare

Add to StackGo to Course

Alternatives to Professional Machine Learning Engineer Certification

Compare

Current

Artificial Intelligence Professional Program

Stanford Online · Stanford School of Engineering

4.6

8.5/10

10 weeks per course

Professional certificate pathway covering machine learning, deep learning, NLP, reinforcement learning, and computer vision with graduate-level rigor.

$1,950 per course

ViewAddCompare

Graduate certificate requiring four AI courses with transcripted credit, advanced electives, and formal academic performance thresholds.

Foundational AWS certification validating AI, ML, and generative AI concepts for professionals who use AI/ML solutions without necessarily building them.

Professional-level certification focused on building and deploying production-grade generative AI solutions on AWS services such as Amazon Bedrock.