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YouTube

Docker End to End Implementation

via YouTube

Overview

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This course teaches Docker fundamentals and applies them to containerizing and deploying machine learning models and pipelines. It includes Docker installation, commands, image building, Flask and Streamlit applications, and Kubernetes-based deployment.

Syllabus

Docker Tutorial 1- Why and What is Docker, Dockers Containers, Virtualization In Machine Learning.
Docker Tutorial 2- Building A Flask App For A Bank Note Authentication.
Docker Tutorial 3-Deploying Machine Learning Models Using Flask And Flasgger.
Docker Tutorial 4-Docker Installation instructions In Windows And Other OS | Machine Learning.
Docker Tutorial 5- Understanding Docker Commands- Machine Learning.
Docker Tutorial 6- Writing, Building And Running Docker Image| Machine Learning.
Deploy Machine Learning Models Using StreamLit Library- Data Science.
Deployment Of Machine Learning PIPELINES Using Dockers and Kubernetes.

Taught by

Krish Naik

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Abdul Ahad
    Abdul Ahad
    Greatly explained, I am a beginner with Kubernetes, and I still have a good picture of how the app is deployed and exposed to the internet. However, I wanted to learn more about the scalability and a more physical explanation of how the scalability is actually happening with lots of containers.

    Overall, a good experience.

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