Tutorial: Machine Learning with Docker
Get started with Docker and understand how it helps Machine Learning
Build a custom Docker Image & Running a Docker Container
Train machine learning models during the Docker image build process
Serialize your models & Perform batch inference & online inference using Docker containers
This guided-project introduces you to Machine learning with Docker. The tasks demonstrate how Docker is a useful tool for working with machine learning. By the end of this project, you will be able to implement Docker in your Machine learning workflows. Moreover, this split screen guided project will allow you to: - Learn Docker fundamentals & understand how it can compliment Machine Learning - Train machine learning models during the Docker - Serialize your models within the Image for easy retrieval - Perform batch inference using Docker containers - Understand online inference with a Real World example (Food Delivery App) - Implement a REST API using Docker and Flask RESTful.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Learn to build a custom ML images from the Dockerfile
Train machine learning models during the Docker image building process
Learn to Serialize your Models within the Image for easy retrieval
Perform batch inference using Docker Containers
Implement a REST API using Docker and Flask RESTful and perform Online inference
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Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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