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Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines
Via LinkedIn Learning
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Overview
“Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines” is a specialized course module designed to prepare learners for automating and managing machine learning workflows on Google Cloud. This training focuses on building scalable, reliable, and maintainable ML pipelines to streamline model development, training, deployment, and monitoring. Participants explore Google Cloud services such as Vertex AI Pipelines, Cloud Composer (Apache Airflow), and Cloud Functions to automate data preprocessing, model training, evaluation, and deployment processes. The...
Syllabus
Introduction
- Overview
- Course five key terminology
1. Designing and Implementing Training Pipelines
- Prompt engineering for Google BigQuery with ChatGPT4
- Getting started with Vertex AI
- Understanding TPUs
- TPUs as technology transition
- Demo: TPU PyTorch MNIST
2. Implementing Serving Pipelines
- TensorFlow serving with GPU-enabled Docker
- Rust PyTorch microservice walkthrough
- Demo: Rust pre-trained PyTorch microservice
Conclusion
- Next steps
Instructor
Noah Gift
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