Docker for Data Engineers

سرفصل های دوره

Unlock the potential of the popular containerization platform Docker to transform the way you develop, deploy, and manage applications. Instructor Janani Ravi shows you how Docker simplifies the creation and management of containerized applications and guides you through how to install Docker Desktop on Windows and macOS, manage images and containers, utilize the components of Docker Hub, and more. Along the way, get hands-on experience building Docker images, running containers in various modes, and deploying a containerized app with Azure Container Instances. Whether you're a developer, an IT professional, or just looking to streamline your apps, by the end of this course, you’ll be equipped with the skills you need to use Docker to enhance your applications' efficiency and predictability.

01 - Introduction

01 - What is Docker, and how does it help

02 - Course topics

03 - Prerequisites

02 - 1. Introducing Docker

01 - Terms and concepts

02 - Drawbacks of application development on bare metal and VMs

03 - Introducing containers

04 - Introducing Docker

05 - Introducing images

06 - Building and accessing images

07 - Microservices

08 - Containers and kernels

03 - 2. Working with Docker

01 - Installing Docker Desktop on Windows

02 - Installing Docker Desktop on macOS

03 - Exploring Docker Hub

04 - Running your first container using docker run

05 - Pulling images using docker pull

06 - Viewing a running container on Docker Desktop

07 - Removing containers and images

04 - 3. Building Images and Running Containers

01 - Building your first Docker image

02 - Overriding the CMD instruction

03 - Using the Python base image

04 - Running a container in interactive mode

05 - Specifying the Dockerfile to run a Python application

06 - Running the containerized Python application

07 - Running multiple containers from the same image

08 - Building an image that runs a setup script

09 - Overriding the ENTRYPOINT directive

05 - 4. Pushing Images to and Pulling Images from Docker Hub

01 - Pushing images to Docker Hub

02 - Pushing images to Docker Hub using Docker Desktop

03 - Pulling custom images from Docker Hub

06 - 5. Deploying a Containerized Model to Azure Container Instances

01 - Azure Container Instances

02 - Training an ML model and serializing to a pickle file

03 - Setting up the Dockerfile for model prediction

04 - Running a containerized app locally for churn prediction

05 - Authenticating to Azure using the Azure CLI

06 - Creating an Azure Container Registry and pushing the image

07 - Deploying a container to Azure Container Instances

08 - Making predictions using the containerized application

07 - Conclusion

01 - Summary and next steps

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تولید کننده: LinkedIn Learning (Lynda)