
Purchasing a DevSecOps and Docker course will equip you with essential skills in integrating security into the development pipeline while mastering containerization for efficient, scalable application deployment. These courses provide hands-on experience, making you adept at modern, secure software delivery practices, enhancing your value in the tech industry.
Before Docker, inconsistent environments caused deployment issues and delays. Docker solves this by packaging apps and dependencies into lightweight, portable containers. It uses containerization technology via Docker Engine to ensure consistency across dev, test, and prod. Developers and DevOps teams rely on Docker for faster, reliable, and scalable software delivery.
In this module, we explore Monolithic vs Microservices architectures, their pros and cons, and how Docker revolutionizes app deployment. You'll learn the difference between Virtual Machines and lightweight Docker containers, understand key benefits of Docker, and get hands-on with Dockerfiles, DockerHub, basic commands, and how the Docker system works.
Learn how to install Docker Desktop on a Mac and set it up for containerized development. We'll also verify the installation using basic Docker commands like docker --version and docker run hello-world
Install Docker Engine on a Linux machine and set up Docker Compose for managing multi-container apps. Verify the installation using docker --version and docker-compose --version commands.
** Link for docker installation on windows machine **
https://www.youtube.com/watch?v=_9AWYlt86B8
Unlock the power of containerization with this in-depth guide to Docker Architecture!
In this session, you will learn:
Core components of Docker: Client, Daemon, Containers, Images, Registry
How Docker works behind the scenes
Complete end-to-end flow from image build to container orchestration
Real-world architecture diagram explained
Best practices for using Docker in development and production
Whether you're a developer, DevOps engineer, or IT professional, this video/course will give you a solid understanding of Docker's internals to help you build, deploy, and scale applications efficiently.
Perfect for:
DevOps & SRE Engineers
Developers moving to containerization
Cloud Engineers (AWS, Azure, GCP)
Beginners & advanced professionals
Learn to run and manage Docker containers using key commands like docker run, exec, and attach. Explore inside containers, assign names, create custom containers, and run them in interactive or daemon mode. You’ll also learn to check running containers, remove images/containers, and quickly launch a web server (Nginx) in seconds using Docker.
Learn how to kill a running Docker container and understand the use of the docker attach command. Also, explore the key differences between docker attach (connects to main process) and docker exec (runs a new command inside the container).
Run Docker containers in daemon mode and understand the importance of Docker volumes for persistent storage. Learn the difference between temporary and persistent storage, how to mount volumes during container runtime, and use docker inspect to view detailed container information.
Learn how to back up and restore Docker volumes, create index.html pages, and copy files from host to container. Understand docker commit to save container changes, map host ports to container ports, and perform full container backups.
Learn to back up and load Docker container images, create custom Nginx images, and get introduced to Docker Hub. Also, cover how to stop and remove containers, manage volumes (create, list, remove, and clean unused), and check Docker logs for troubleshooting.
Learn how to create custom Docker images using Dockerfiles. Get hands-on with writing Dockerfile instructions like CMD, ENTRYPOINT, WORKDIR, and environment variables. Practice building images with docker build and see examples, including using ping in a Dockerfile.
Learn how to override Dockerfile instructions from the command line and set environment variables. Understand Docker’s layered build process, tagging images during build, and practice creating MySQL containers, inserting data, and customizing MySQL images from the official base image.
Learn to create containers from customized images and run MySQL in daemon mode. Verify running processes and check Docker logs. Access databases inside containers to run queries. Get introduced to Docker Hub: register, search images, create repositories, connect via CLI, push images, and verify uploads using tags.
Learn about Docker image scanning for security using Anchore. Discover how to run Anchore as a container to scan your images and use Docker Compose to set up multiple services for comprehensive image analysis.
Learn to evaluate Docker images using Anchore CLI by verifying the Anchore engine status, adding images for scanning, and checking the analysis results of various container images for security vulnerabilities.
Learn about container linking by creating custom Docker networks, attaching containers to these networks, and inspecting network configurations to manage container communication effectively.
Install and understand Docker Compose, then create and manage Nginx and MySQL containers using a docker-compose.yaml file for easy multi-container orchestration.
Explore Docker Compose commands like docker-compose up and down for managing containers, use Telnet to test connections, connect to MySQL containers, and get introduced to Portainer—a web UI for easy Docker management.
Explore the Portainer dashboard to easily manage Docker environments through a user-friendly web interface. Also, get a handy Docker cheatsheet covering essential commands and best practices for quick reference.
Learn what Docker Swarm is and how to install it. Use VirtualBox to build a Python application, then create and manage Swarm manager and worker nodes for container orchestration and scaling.
Set up an Ubuntu server as the Swarm master node and an app server as a worker node. Join the app server to the Swarm cluster, check leader and worker statuses via command line, and troubleshoot common Docker Swarm issues.
Run and verify applications with Docker Compose, then deploy and manage Docker Swarm stacks using stack deploy and stack remove. Check running services, verify the application’s status, and ensure high availability by using replicas in Docker Swarm.
Get a clear overview of Kubernetes’ basic architecture, including its key components like the master node, worker nodes, pods, and control plane that manage containerized applications at scale.
Deploy container to google kubernetes engine using cmdline, cluster creation, worker nodes creation / deployment etc.
Deploy container to google kubernetes engine using UI, cluster creation, worker nodes creation / deployment etc.
Amazon Elastic Kubernetes Service (EKS) is a fully managed Kubernetes service that simplifies deploying, scaling, and managing containerized applications on AWS. In this EKS Introduction , you'll learn the fundamentals of EKS
In this EKS Demo , you'll get hands-on experience deploying, managing, and scaling applications on Amazon EKS. Learn step-by-step how to set up an EKS cluster,quicky. Perfect for Developers, SRE, DevOps and cloud engineers looking to gain practical Kubernetes skills on AWS!
EKS cleanup to avoid unnecessary AWS costs by properly terminating unused resources. Perfect for Developers, SRE, DevOps and cloud engineers looking to gain practical Kubernetes skills on AWS!
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
Be a docker certified professional with udemy certificate