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.
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.
Prerequisites: None
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP.
"On top of the achievement of certification, the process of learning for the Professional Cloud Architect exam forces you to evaluate your own knowledge and find solutions to real business scenarios and technical challenges you may not otherwise face.
Studying for Google Cloud certification promotes a ‘continuous learning’ mindset as well as providing evidence of your proficiency in real-world scenarios using Google Cloud infrastructure."
