Google Professional Machine Learning Engineer

Expert Level

Validate your expertise in designing, building, and deploying machine learning models with Google Cloud!
The Google Cloud Professional Machine Learning Engineer Certification equips professionals with the skills to design, build, and optimize machine learning models using Google Cloud’s powerful AI tools. This certification is ideal for those looking to advance their career in AI/ML, bridging the gap between business challenges and machine learning solutions.

Course Summary:

Master end-to-end machine learning workflows on Google Cloud and turn data into powerful AI-driven insights!

The Machine Learning on Google Cloud course is designed to provide hands-on experience with Google’s AI and ML tools. This course covers everything from data preparation to training, evaluating, and deploying models in production. With real-world case studies and practical labs, learners gain a comprehensive understanding of how to implement ML solutions on Google Cloud.

Fees:

RM9,600 – RM10,442

Intakes:

8-11 Sep 2025

Skills measured:

  • 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 

Who is this for?

  • Data Scientists & AI Engineers
  • Software Developers & Engineers 

Power Your Career with Data & AI

61%

Say that certification are the most important part of their cloud learning journey.

8/10

Say that they prefer to recruit and hire professionals who hold cloud certifications.

82%

Say that certifications in cloud skills increase the likelihood that a project will be completed on time.

Official Recognition from Google Cloud :

Recognized by top employers globally, this certification showcases your ability to design scalable AI solutions using Vertex AI, TensorFlow, AutoML, and MLOps best practices. 

Accelerate Your Career with High-Demand AI/ML Skills

The certification opens doors to roles like Machine Learning Engineer, AI Specialist, Cloud AI Consultant, and Data Scientist, helping you land high-paying jobs in tech-driven industries.

Master AI/ML on Google Cloud with Hands-on Training:

The certification validates your ability to build, optimize, and deploy ML models using Google Cloud tools such as BigQuery ML, Vertex AI, and Dataflow.

Future-Proof Your Skills in AI/ML & Cloud Computing:

This certification ensures you stay ahead of the curve, giving you cutting-edge expertise in cloud-based ML solutions and helping you adapt to the evolving AI landscape. 

Why choose Trainocate?

As the 2024 Google Cloud Training Partner of the Year for Japan, Trainocate is a trusted Google Cloud Authorized Training Partner offering expert-led courses and official learning materials. Gain hands-on skills, prepare for certification exams, and advance your cloud career with structured training from industry-certified instructors.

Exam Overview

Registration fee:

$200 (plus tax where applicable)

Prerequisites:

None

Exam Duration:

Two hours

Exam Format:

50-60 multiple choice and multiple select questions

Exam Delivery Method:

Language offered:

English

Recommended Experience:

3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

Certification Renewal / Recertification:

Candidates must recertify in order to maintain their certification status. Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date of certification. Recertification is accomplished by retaking the exam during the recertification eligibility time period and achieving a passing score. You may attempt recertification starting 60 days prior to your certification expiration date.

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

It is an official Google Cloud certification that validates your ability to design, build, and deploy machine learning (ML) models using Google Cloud’s AI tools. It focuses on end-to-end ML workflows, MLOps, and scalable AI solutions.

  • Official Recognition from Google Cloud
  • High-demand AI/ML skills to boost your career
  • Hands-on training with Google Cloud ML tools
  • Future-proof your skills in AI, ML, and cloud computing
  • Machine Learning Model Development – Data preprocessing, feature engineering, model training & evaluation.
  • MLOps & Automation – Building ML pipelines, CI/CD for AI models, model retraining & monitoring.
  • Model Deployment & Scaling – Using Vertex AI, BigQuery ML, and Dataflow for real-world ML applications.
  • Cloud AI Strategy – Designing cost-effective and scalable ML architectures.

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