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
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
Instructor: Google Cloud Training
Sponsored by MAHE Manipal
Build in-demand job skills with step-by-step instructions
Intermediate level
Some related experience required
1.5 hours
Learn at your own pace
Hands-on learning
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
- Continuous Delivery
- Cloud-Native Computing
- Software Development Life Cycle
- Systems Development Life Cycle
- Application Deployment
- Cloud Computing
- Containerization
- Continuous Deployment
- Kubernetes
- DevOps
- Virtualization
- MLOps (Machine Learning Operations)
- Cloud Engineering
- Application Lifecycle Management
- Release Management
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
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
Instructor
Offered by
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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