Docker Training: Learn Docker from Zero to Cloud
What you'll learn
- End-to-End Docker Training
- Understand the fundamental concepts and benefits of containerization with Docker
- Containerize Python, Go, Java, Javascript, and Ruby applications
- Build efficient and optimized Docker images using Dockerfiles
- Containerize web applications built with Flask, Spring Boot, Node JS, and Go
- Establish communication between containers using Docker networks
- Push Docker images to Docker Hub and implement proper tagging practices
- Containerize and manage databases (e.g., MySQL, PostgreSQL, MongoDB) with Docker
- Handle persistent data storage using Docker volumes
- Orchestrate and manage multi-container applications using Docker Compose
Requirements
- Basic understanding of software development and programming concepts
- Familiarity with command-line interfaces and terminal navigation
- Recommended: Basic knowledge of at least one programming language
Description
Imagine being able to develop an application on your local machine and then seamlessly run that application anywhere else without having to worry about compatibility issues or missing dependencies. Docker makes this possible. Almost every big company, be it Spotify, Netflix, or PayPal, uses Docker to deliver applications faster than ever before, and now it's your turn.
This course will teach you how to:
Install and set up Docker on various operating systems
Containerize a wide range of applications built with Python, Go, Java, JavaScript, Ruby, Flask, Spring Boot, Node.js, and more
Build efficient and optimized Docker images using Dockerfiles
Establish seamless communication between containers using Docker networks
Orchestrate and manage multi-container applications, including microservices and databases, using Docker Compose
Handle persistent data storage and manage databases (MySQL, PostgreSQL, MongoDB) with Docker volumes
Push Docker images to Docker Hub and implement effective tagging and versioning strategies
Deploy containerized applications to the cloud using Heroku.
Real-World E-commerce Application Project
Throughout the course, you'll work on a realistic e-commerce application composed of multiple microservices, each built with different languages and frameworks. You'll learn how to containerize these microservices, manage their dependencies, and orchestrate the entire application using Docker Compose, and deploy it to the cloud. This hands-on experience will solidify your understanding of Docker's capabilities in a practical setting.
Boost Your Career with Docker Skills
Docker and microservice orchestration are highly sought-after skills in the industry. This course provides software developers and DevOps professionals with the knowledge and tools to streamline development workflows and optimize application deployment.
Enroll in our Docker Bootcamp today and gain the practical skills you need to effectively develop and deploy applications using containerization.
Who this course is for:
- Software Developers
- DevOps engineers
- IT professionals who want to streamline application development, deployment, and management using Docker.
Instructors
- 4.6 Instructor Rating
- 1,280,406 Reviews
- 4,297,948 Students
- 87 Courses
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
- 4.5 Instructor Rating
- 638 Reviews
- 232,208 Students
- 2 Courses
Senior DevOps Engineer with over a decade of software development experience, now leading high-impact initiatives in DevOps and cloud-native solutions. I’m passionate about simplifying complex technologies and empowering developers to thrive in modern software environments. Through my courses, I’ve mentored over 250,000 students worldwide on container orchestration, CI/CD pipelines, and best practices for building scalable, resilient systems. My mission is to bridge the gap between theory and real-world application—ensuring that learners walk away with the practical skills and confidence to excel in today’s fast-evolving tech landscape.
- 4.5 Instructor Rating
- 34,862 Reviews
- 200,224 Students
- 9 Courses
Rayan is a seasoned DevOps Engineer who transforms complex cloud-native technologies into accessible knowledge. With over a decade of experience, he's guided 250,000+ students through container orchestration, CI/CD, and building resilient systems.
Join Rayan and follow his latest DevOps content to bridge the gap between theory and real-world implementation.
- 4.6 Instructor Rating
- 1,288,233 Reviews
- 4,226,615 Students
- 94 Courses
Pierian Training stands as a premier provider in the realms of Data Science and Machine Learning education, offering both in-person and virtual instructor-led training tailored for enterprises. Explore our comprehensive profile to discover a wide range of courses designed to enhance your professional skills and organizational capabilities. Feel free to contact us if you have any questions in the link on our profile!
- 4.5 Instructor Rating
- 31,126 Reviews
- 205,408 Students
- 9 Courses
Jad studied mechanical engineering at the University of Ottawa. Jad also has extensive experience in software development, cloud development, machine learning, computer vision, mathematical modeling, computer simulation, and intelligent systems. Jad has also developed many deep learning applications, and is currently pursuing an interest in autonomous machines and Full Stack Development.
- 4.6 Instructor Rating
- 19,963 Reviews
- 150,859 Students
- 7 Courses
Hi I'm Amer. I'm a full-time developer with a specialized interest in Artificial intelligence (AI). AI is now taking on more sophisticated roles that can truly amplify human capabilities.
With a background in Mechanical Engineering and computer science I have always looked for ways to use the power of AI to create practical solutions that revolutionize the way we live.
I aim to make artificial intelligence more accessible to all students, no matter the skill level!
- 4.6 Instructor Rating
- 26,135 Reviews
- 158,144 Students
- 7 Courses
Hi! I'm Sarmad, and I have graduate level expertise in Mechanical Engineering. My main areas of interest and research include autonomous robotics, self driving car technology and machine learning. I currently work as a Senior Machine Learning Engineer with the Government of Canada.
In my spare time, I enjoy teaching courses on Udemy and sharing my knowledge with all of you!