Machine Learning Engineer
Discover the key to ML models, advance your career, and prepare for the Professional Machine Learning Engineer certification.
- 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
- 3+ years’ industry experience
- 1+ years using Google Cloud
for certification
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.
