Google Cloud Professional Machine Learning Engineer Cert Prep: 4 Developing ML Models
Learners:
5
Instructor: /
Duration:
This course, part of the Google Professional Machine Learning Engineer certification prep series, equips you with the skills to design, build, and deploy machine learning models using Google Cloud technologies, with a focus on topics like model development, TensorFlow, evaluation metrics, transfer learning, and model scaling for real-world applications.▼
Course Feature
Cost:
Free Trial
Provider:
LinkedIn Learning
Certificate:
Paid Certification
Language:
English
Start Date:
Released: 6/16/2023
Course Overview
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Updated in [September 06th, 2023]
(Please Note that this content is from LinkedIn Learning)
The Google Professional Machine Learning Engineer certification demonstrates your ability to design, build, and deploy machine learning models for real-world business challenges using Google Cloud technologies. In this fourth course of the certification prep series, instructor Noah Gift covers topics related to machine learning model development. He guides you through building models with TensorFlow, clarifies concepts like overfitting versus underfitting, and explains the selection of appropriate evaluation metrics. Noah also delves into model training, highlighting the advantages of transfer learning. Additionally, you'll learn about scaling model training and serving, including building a microservice and deploying it with Rust on Google App Engine.
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