Google Cloud Professional Machine Learning Engineer Cert Prep: 4 Developing ML Models

Offered By: LinkedIn Learning

Tags

Machine Learning Courses TensorFlow Courses Microservices Courses Rust Courses Google App Engine Courses GitHub Actions Courses Transfer Learning Courses Hugging Face Courses

Course Description

Overview

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Learn about developing machine learning models in preparation for the Google Professional Machine Learning Engineer certification exam.

Syllabus

Introduction

Overview
Course four key terminology

1. Building Models

Using TensorFlow Playground
Overfitting vs. underfitting
Selecting the right metrics

2. Training Models

Training models with TensorFlow GPU-enabled Docker
Fine-tuning raw ingredients Hugging Face
Advantages transfer learning

3. Scaling Model Training and Serving

Operationalize microservices
Monitoring and logging with Rust on Google App Engine
Continuous integration Rust with GitHub Actions
Demo: Unit testing Rust
Demo: GitHub copilot-enabled Rust
Setup GCP workstation with Python
Demo: Google Cloud Shell
Demo: Google Cloud Editor
Demo: Google CLI SDK
Demo: Google gcloud CLI
Demo: Google App Engine Rust Deploy
Demo: Google App Engine Golang

Conclusion

Next steps

Taught by

Noah Gift

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