Course Overview
This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Who should attend
Googlers, partners, and customers
Course Objectives
- List the domains covered on the Professional Machine Learning Engineer (PMLE) certification exam.
- Identify gaps in your knowledge and skills for each domain.
- Identify resources and learning assets available to develop your knowledge and skills.
- Create a study plan to prepare for the PMLE certification exam.
Course Content
- Introduction
- Architecting low-code AI solutions
- Collaborating within and across teams to manage data and models
- Scaling prototypes into ML models
- Serving ML models
- Automating and orchestrating ML pipelines
- Monitoring ML Solutions
- Your next steps