Build ML Workflow Pipelines with Flyte and gRPC on Google Cloud C4A Axion processors

About this Learning Path

Who is this for?

This is an introductory topic for developers, data engineers, and ML engineers who want to build scalable machine learning workflow pipelines on Arm64-based Google Cloud C4A Axion processors using Flyte workflow orchestration and gRPC-based microservices.

What will you learn?

Upon completion of this Learning Path, you will be able to:

• Deploy Flyte workflow pipelines on Google Cloud C4A Axion processors
• Build distributed machine learning pipelines using Flyte tasks
• Implement gRPC-based services for feature engineering
• Integrate Flyte workflows with distributed services
• Run scalable ML pipelines on Arm-based cloud infrastructure

Prerequisites

Before starting, you will need the following:

• A Google Cloud Platform (GCP) account with billing enabled
• Basic familiarity with Python
• Basic understanding of machine learning pipelines