Become a Google Certified Professional Machine Learning Engineer
Google Certified Professional Machine Learning Engineer
A Professional Machine Learning Engineer designs, builds, and produces ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer is proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation and should be familiar with application development, infrastructure management, data engineering, and security.
Abilities validated by the certification
- Ability to frame ML problems
- Ability to architect ML solutions
- Ability to prepare and process data
- Ability to develop ML models
- Ability to automate & orchestrate ML pipelines
- Ability to monitor, optimize, and maintain ML solutions
Recommended experience
3+ years of industry experience, including 1+ years of designing and managing solutions on GCP.
Prepare for the exam
0. Practice
Before you attempt the exam, hands-on experience with Google Cloud products and solutions is recommended. You can build free products
1. Exam guide
You can review the exam guide
2. Training
You can view the preferred learning path
3. Webinar
You can attend a webinar by registering
4. Additional resources
You can view the additional resources on the concepts and critical components of GCP by visiting:
5. Sample questions
You can view the sample questions for this certification here.
6. Schedule your exam
You can register for your exam here.
Free Resources