Preparing for Professional Machine Learning Engineer (GCPMLE)

 

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

Prix & Delivery methods

Formation en ligne

Durée
1 jour

Prix
  • sur demande
Formation en salle équipée

Durée
1 jour

Prix
  • sur demande

Agenda

FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Allemand

European Time Zones

Formation en ligne
Option présentielle : Zurich
Langue : Allemand
Formation en ligne
Option présentielle : Zurich
Langue : Allemand
Formation en ligne
Option présentielle : Zurich
Langue : Allemand
Formation en ligne
Option présentielle : Zurich
Langue : Allemand
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Suisse

Zurich Langue : Allemand
Zurich Langue : Allemand
Zurich Langue : Allemand
Zurich Langue : Allemand

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