Google Cloud Certification

Machine Learning Engineer

Advance your career with our Machine Learning Engineer learning path, designed to help you progress to Google’s Professional Machine Learning Engineer certification exam.
As a Machine Learning Engineer, you’ll design, build and productionise ML models to solve business challenges. You’ll use Google Cloud technologies, plus knowledge of proven ML models and techniques. You’ll be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. Familiarity with application development and infrastructure management is crucial, as well as data engineering and security.

Discover the key to ML models, advance your career, and prepare for the Professional Machine Learning Engineer certification.

What the certification covers
  • Framing Machine Learning problems
  • Architecting ML solutions
  • Preparing and processing data
  • Developing ML models
  • Automating and orchestrating ML pipelines
  • Monitoring, optimising and maintaining ML solutions
Recommended experience
  • 3+ years’ industry experience
  • 1+ years using Google Cloud
Study for the Machine Learning Engineer Certification
Whether you’re looking to become Google-certified or not, our specialised Machine Learning Engineer learning track will equip you with the skills and ability to advance your career and become a qualified Machine Learning Engineer.

There are 2 courses in our Machine Learning Engineer track.
Choose any individual course, or all 2.

Google Cloud Fundamentals: Big Data & Machine Learning
1 day
Machine Learning on Google Cloud
5 day
ex VAT
Who can we help?
Individuals looking to upgrade their GCP skills in preparation
for certification
Organisations wanting to train team members in cloud technologies
Global brands looking for bespoke learning pathways for multiple teams
Get in touch for more information on how we can help you or your business on the path to GCP certification.
The Machine Learning Engineer Certification exam

At Jellyfish, we facilitate the delivery of Google Cloud courses which provide the Cloud skills you need to pass Google’s certification exams.

Once you’ve completed the necessary learning, or are happy that you have the required knowledge, skills and experience, you’ll be ready to register for Google's Machine Learning Engineer exam. .

Length: 2 hours

Registration fee: $200 (plus tax where applicable)

Languages: English.

Exam format: Multiple choice and multiple select, taken remotely or in-person at a test centre. Locate a test centre near you.

Exam Delivery Method:
a. Take the online-proctored exam from a remote location, review the online testing requirements.
b. Take the onsite-proctored exam at a testing centre, locate a test centre near you.

Prerequisites: None

Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP.

See all Google Cloud courses
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