This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).


Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

Instructor: Google Cloud Training
33 already enrolled
Project
What you'll learn
Prepare a GKE cluster with the Istio add-on for TensorFlow Serving
Create a canary release of a TensorFlow model deployment
Configure various traffic splitting strategies
Skills you'll practice
- Category: Load Balancing
- Category: Tensorflow
- Category: Microservices
- Category: Kubernetes
Details to know

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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks

About this project
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How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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