Tutorial: Machine Learning with Docker

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In this Guided Tutorial, you will:

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

Clock3 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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

Machine LearningLinuxDevopsDocker (Software)

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:

  1. Learn to build a custom ML images from the Dockerfile

  2. Train machine learning models during the Docker image building process

  3. Learn to Serialize your Models within the Image for easy retrieval

  4. Perform batch inference using Docker Containers

  5. Implement a REST API using Docker and Flask RESTful and perform Online inference

How Guided Tutorials work

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

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.