What you'll learn:
- Understand the fundamentals of Docker
- Discover how to build and manage images and containers using Docker
- Explore container networking using Docker networks and DNS-based service discovery.
- Discover how to set up and run Docker across macOS, Windows, and Linux systems.
- Grasp advanced concepts like handling and retaining data using Docker Volumes.
- learn how to manage docker, pods, containers using portainer
- Master the deployment of Docker applications — whether manually, through managed services, or using Kubernetes.
- Discover how to leverage Docker, Compose, and Kubernetes locally to streamline software development, building, and testing.
- Set up and manage Swarm and Kubernetes clusters to deploy applications efficiently on servers!
- Get hands-on experience with industry best practices to craft Dockerfiles and Compose files like a pro!
- learn alternative of docker i.e podman
- docker troubleshooting tips
- docker security
- dockerfile tutorial
- docker secrets
- docker volumes
- docker networking
- running docker containers
- building docker images
- docker installation
- docker tutorial
- kubernetes with docker
- building docker registries
- docker best practices
- docker troubleshooting tips
- Basic Docker Commands with Hands-On Exercises
- Build Docker images using Dockerfiles with Hands-On Exercises
- Understand what Docker Compose is
- Understand what Docker Swarm is
- Build Application stack using Docker Compose Files with Hands-On Exercises
- Create and publish your own custom Docker images to container registries with ease.
This course takes you from the fundamentals to advanced, real-world container workflows using Docker and Kubernetes.
You will start by learning containers from the ground up, understanding how Docker works and why it is widely used in modern DevOps environments. You’ll run Docker, Docker Compose, and Kubernetes locally to improve software development, testing, and deployment workflows.
You will learn how to launch application containers within minutes, create your own container images from scratch using Dockerfiles, and manage multi-service applications using Docker Compose with proper networking and port exposure.
The course also covers Docker optimization techniques, helping you build smaller, faster, and production-ready images. You will manage persistent data using volumes and bind mounts, perform Docker backups, and understand best practices for data durability.
On the orchestration side, you will work with Docker Swarm to manage multiple services and deploy high-availability containers. You’ll also build and publish your own custom images, set up a private image registry, and manage containers visually using Portainer.
Security is an important focus as well. You will perform container image scanning using Anchore and Trivy, and understand container security concepts and how they fit into secure CI/CD pipelines.
You’ll gain hands-on Kubernetes experience, including deploying workloads on Google Cloud, working with Kubernetes YAML manifests, and applying infrastructure-as-code principles. Real examples using Nginx and MySQL containers are included to mirror real production use cases.
Additional topics include:
Troubleshooting common container and deployment issues
Working with Podman
Understanding the differences between Podman and Docker
Docker interview preparation
docker multistage builds
By the end of this course, you will be able to
Use Docker confidently in daily developer or system administrator tasks
Create and manage Dockerfiles and Docker Compose configurations
Deploy and manage applications on Kubernetes
Build Docker Swarm clusters and deploy highly available services
Design and apply Kubernetes YAML manifests using infrastructure-as-code practices
Implement container security, image scanning, and secure CI/CD workflows
Keep Docker images lean, fast, and efficient
Run and compare workloads across Docker, Swarm, and Kubernetes
Manage persistent data using volumes and bind mounts
Apply modern container skills to guide teams toward scalable, future-ready deployments
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