Docker For Developers: Master Docker With Hands-On Projects

Master Docker with Python. Build, run, and manage Flask apps with Docker, Docker Compose, and Docker Desktop.

What you'll learn

Learn how to containerize Python applications with Docker.

Master Docker basics, from creating Dockerfiles to managing images and containers.

Understand Docker Compose to manage multi-container applications easily.

Efficiently troubleshoot and manage Docker Desktop for containers, images, and logs.

Requirements

No programming experience required – you’ll learn Docker from scratch.

Basic Python knowledge will be helpful but not necessary.

A computer running Windows, macOS, or Linux with Docker Desktop installed.

Visual Studio Code (free) for code editing.

Docker

Description

Welcome to Docker for Developers: Master Docker with Hands-On Projects! This course is designed to provide you with the essential skills and hands-on experience needed to master Docker, one of today’s most sought-after technologies. Whether you're new to containerization or an experienced developer seeking to expand your portfolio, this course takes you through every crucial step.In this course, you'll gain practical knowledge of building, managing, and deploying applications using Docker. We start with the fundamentals, covering images, containers, volumes, and networking, and gradually move into advanced topics such as Docker Compose, multi-container environments, and configuring scalable production setups. Beyond just containerizing applications, you'll also learn how to streamline your development workflow by integrating Docker efficiently and effectively.What truly sets this course apart is its project-based focus. Each section features real-world projects that mirror tasks you'd encounter in the workplace, ensuring that by the end, you'll have multiple portfolio-worthy projects showcasing your proficiency with Docker. You'll also dive deep into CI/CD pipelines and how Docker seamlessly integrates with modern DevOps practices.This course thoroughly breaks down Docker fundamentals, ensuring that you grasp every concept you need to become not only a skilled developer but also a more versatile DevOps engineer. Enroll today to acquire the practical, job-ready skills that can elevate your career in today’s fast-paced tech industry!

Overview

Section 1: Introduction

Lecture 1 Introduction to Docker

Lecture 2 What is Docker ?

Lecture 3 Why Use Docker ?

Lecture 4 Overview of Docker

Section 2: Introduction to Docker

Lecture 5 Installing Docker on Windows, Mac, and Linux

Lecture 6 Understanding the Docker Client and Daemon

Section 3: Installing Docker on Your Machine

Lecture 7 Creating the Project Directory Using Command Prompt

Lecture 8 Setting Up a Python Virtual Enviornment

Lecture 9 Installing Flask Using pip

Lecture 10 Creating the Python Application File

Lecture 11 Creating the .env File to Store Sensistive Information

Lecture 12 Verifying the Flask App Locally

Lecture 13 Stopping the Flask App

Section 4: Writing a Dockerfile

Lecture 14 Introdocution to Dockerfile Syntax

Lecture 15 Explaining Each Dockerfile Command

Section 5: Building Your First Docker Image

Lecture 16 Building the Docker Image

Section 6: Running Your Docker Container

Lecture 17 Running the Container

Lecture 18 Checking the Running App

Lecture 19 Checking_Running_App

Lecture 20 Stopping the Container

Section 7: Using .env Files for Environment Variables

Lecture 21 Create a env file for securly handling enviornment variables

Lecture 22 Updating the App to use enviornment Variables

Section 8: Managing Docker Containers

Lecture 23 Docker PS and Docker PS -a

Lecture 24 Starting, Stopping, and removing containers

Section 9: Using Docker Compose

Lecture 25 Writing a docker compose yml file

Lecture 26 Running Docker Compose

Lecture 27 Listing Running Containers

Lecture 28 Stopping Docker Compose

Section 10: Handling Logs and Debugging

Lecture 29 Viewing Logs from a Running Container

Lecture 30 Attaching to a Running Container

Section 11: Managing Docker Images

Lecture 31 Docker Images

Lecture 32 Remove Docker Images

Section 12: Course Recap and Next Steps

Lecture 33 Managing Containers in Docker Desktop

Lecture 34 Manging Images in Docker Desktop

Lecture 35 Managing Networks and Volumes in Docker Desktop

Lecture 36 Troubleshooting and Logs in Docker Desktop

Lecture 37 Course Recap and Next Steps

Beginner Python developers curious about containerizing their applications.,Software developers looking to improve the deployment process of Python apps.,DevOps engineers wanting to streamline development with Docker,Anyone who wants to learn Docker from scratch and manage Docker environments effectively.