Docker for Developers: Master Docker with Hands-On Projects

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Sreyeesh Garimella

46:06

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1 - Introduction

1 -Introduction to Docker.mp4

01:10

2 -What is Docker.mp4

01:00

3 -Why Use Docker.mp4

00:47

4 -Overview of Docker.mp4

01:16

2 - Introduction to Docker

1 -Installing Docker on Windows, Mac, and Linux.mp4

01:40

2 -Understanding the Docker Client and Daemon.mp4

01:15

3 - Installing Docker on Your Machine

1 -Creating the Project Directory Using Command Prompt.mp4

01:23

2 -Setting Up a Python Virtual Enviornment.mp4

00:59

3 -Installing Flask Using pip.mp4

00:42

4 -Creating the Python Application File.mp4

00:58

5 -Creating the .env File to Store Sensistive Information.mp4

00:48

6 -Verifying the Flask App Locally.mp4

00:55

7 -Stopping the Flask App.mp4

00:30

4 - Writing a Dockerfile

1 -Introdocution to Dockerfile Syntax.mp4

02:01

2 -Explaining Each Dockerfile Command.mp4

01:15

5 - Building Your First Docker Image

1 -Building the Docker Image.mp4

01:25

6 - Running Your Docker Container

1 -Running the Container.mp4

00:58

2 -Checking the Running App.mp4

01:05

3 -Checking Running App.mp4

01:05

4 -Stopping the Container.mp4

00:54

7 - Using .env Files for Environment Variables

1 -Create a env file for securly handling enviornment variables.mp4

01:01

2 -Updating the App to use enviornment Variables.mp4

01:05

8 - Managing Docker Containers

1 -Docker PS and Docker PS -a.mp4

00:42

2 -Starting, Stopping, and removing containers.mp4

01:28

9 - Using Docker Compose

1 -Writing a docker compose yml file.mp4

01:02

2 -Running Docker Compose.mp4

01:10

3 -Listing Running Containers.mp4

01:56

4 -Stopping Docker Compose.mp4

02:12

10 - Handling Logs and Debugging

1 -Viewing Logs from a Running Container.mp4

01:48

2 -Attaching to a Running Container.mp4

01:56

11 - Managing Docker Images

1 -Docker Images.mp4

01:01

2 -Remove Docker Images.mp4

02:40

12 - Course Recap and Next Steps

1 -Managing Containers in Docker Desktop.mp4

00:51

2 -Manging Images in Docker Desktop.mp4

01:18

3 -Managing Networks and Volumes in Docker Desktop.mp4

01:01

4 -Troubleshooting and Logs in Docker Desktop.mp4

00:55

5 -Course Recap and Next Steps.mp4

01:54

Description

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.

Who is this for?

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.

What You Need to Know?

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

More details

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 todayâ€™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 todayâ€™s fast-paced tech industry!
Who this course is for:
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.

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Docker

Sreyeesh Garimella

Instructor's Courses

An experienced educator with over a decade of hands-on practice, I specialize in both development and creativity. My passion lies in bridging the gap between technology and art, guiding students to master the intricacies of coding while fostering their artistic vision. I've mentored thousands, helping them transform their ideas into tangible projects. Committed to lifelong learning, I continually update my skills to stay at the forefront of the industry, ensuring my students receive the most up-to-date knowledge and techniques

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