Coursera
MOOC / Non-credit
0
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
About this course
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.).
C
59/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- train custom machine learning models
- deploy models using TensorFlow Serving
- understand cloud computing principles
- use Kubernetes for container orchestration
Course objectives
- gain practical experience in model deployment
- understand the integration of TensorFlow with cloud platforms
Machine Learning
Cloud Computing
#google cloud
#machine learning
#cloud computing
#cloud deployment
#kubernetes
#tensorflow
#image recognition
#hands-on lab
#model serving
#automl vision
$9.99
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