The 10 best Docker courses in 2026

This course introduces you to container technologies and how they can be used to modernize your applications, as well as exploring how different AWS services can be used to manage and orchestrate those containers. Container technologies have existed for years, and are still gaining popularity. Two of the most prevalent options are Docker and Kubernetes - each with its own distinct set of features. Regardless of which technology you choose, one of the biggest challenges with containers is their orchestration. Unlike traditional, monolithic applications where you can only scale at a macro level

Deploying machine learning models into production systems requires more than training a model—it requires reliable deployment, monitoring, and debugging practices. In this course, you'll learn how to deploy machine learning models as scalable services and maintain them within real software architectures. You’ll begin by learning how to package and deploy machine learning models using containerization and orchestration technologies. You’ll apply tools such as Docker and Kubernetes to manage application deployment and ensure that models run consistently across environments. Next, you’ll design

In this project, you’ll help the team at Apollonia Dental Practice digitalize employee management by building a web app using HTML, CSS, JavaScript, ExpressJS, NodeJS, and MongoDB. Your task is to develop a basic CRUD web app capable of creating, reading, updating, and deleting employee and department records and meeting other business needs outlined. When you finish the app, you’ll containerize it using Docker to prepare for deployment. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.

Take your Docker skills to the next level with this hands-on course built around 8 real-world demos covering image layers, runtime behavior, HEALTHCHECK, optimization, and multi-stage builds. Curated with the Docker Certified Associate (DCA) exam objectives in mind, this course helps you strengthen the image-building skills needed for practical Docker use and certification readiness. Designed for developers, DevOps learners, cloud professionals, IT students, career switchers, and those preparing for the DCA exam, this course helps you create clean, maintainable images for modern application d

This course provides a solid foundation in designing and implementing microservices using Spring Boot. Microservices architecture enables scalable, maintainable, and modular applications, a key skill in modern software development. Learners will gain hands-on experience building a set of cooperating microservices, deploying them with Docker, and integrating persistence and reactive programming. This ensures practical skills that can be immediately applied in real-world projects. The course combines theory with practice by covering core concepts, Spring Boot features, API documentation with O

Take your Spring Boot skills to the next level by learning how to deploy, scale, and monitor real-world applications using tools like Docker, AWS ECS, and Spring Security. In this hands-on course, you'll apply essential DevOps practices—CI/CD, containerization, and observability—to move confidently from local development to production-ready deployment. In the first module, you’ll explore modern deployment workflows, external configuration, and container fundamentals. You’ll also understand how Docker integrates into Spring Boot development. The second module guides you through building effici

In this course, you will embark on a transformative journey to master the foundational elements of Kubernetes, from understanding containers and container images to deploying your first application in a lab environment. This course is meticulously crafted to equip you with the essential skills and knowledge required to excel in Kubernetes Certified Application Developer (CKAD) topics. Through engaging lessons and hands-on labs, you'll gain practical experience and confidence to navigate the Kubernetes ecosystem with ease. Enroll today and take the first step towards becoming a Kubernetes expe

Learn to build cloud-based development environments with GitHub Codespaces, run GPU-accelerated AI workloads, use GitHub Copilot for AI-assisted coding, and automate CI/CD pipelines with GitHub Actions. This hands-on course walks you through launching Codespaces from repository templates, configuring dev containers for different machine types, and running NVIDIA GPU instances for machine learning tasks. You will use Whisper for speech-to-text transcription on GPU-enabled Codespaces and explore Hugging Face for model hosting, datasets, and fine-tuning pre-trained models. The course demonstrates

Hands-on full-stack path: HTML, CSS, JavaScript, React, Node, Python, Django, containers, and microservices.

Design production ML systems: data pipelines, deployment, monitoring, and lifecycle management.