Introduction

A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. The ML Engineer needs familiarity with foundational concepts of application development,   infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates   scalable solutions for optimal performance.

Link :  https://cloud.google.com/certification/machine-learning-engineer
Difficulty : ⭐⭐⭐⭐☆
Popularity: ⭐⭐⭐⭐☆
Salary : $120k – $171k

Job Profile

Exam Overview

  • Length : 2 hours
  • Fees : $200
  • Languages: English
  • Format: Multiple choice and multiple select
  • Delivery Method:
    – Onsite at testing centers
    – Online proctored from remote location
  • Pre-req : None
  • Exam Guide : 

Prep Resources

Exam Dumps

Video Courses

Books

Sample Questions

Professional Machine Learning Engineer

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