AI Assisted – Docker & Kubernetes Crash Course

Course Content

Module 1: Docker Architecture and Container Concepts

Containers vs virtual machines
Benefits and use cases of containers
Docker client-server architecture
Docker Engine and daemon
Images, containers and registries
Container lifecycle
Port mapping and environment variables

Module 2: Guided Lab — Install Docker and Run NGINX

Module 3: Docker Images, Dockerfiles and Registries

Module 4: Guided Lab — Build and Publish an Image

Module 5: Docker Storage and Networking

Module 6: Docker Mini Project

Module 7: Kubernetes Architecture and Core Objects

Module 8: Guided Lab — Set Up Kubernetes and Deploy a Pod

Module 9: Deployments, Services and Application Lifecycle

Module 10: Guided Lab — Deploy and Expose an Application

Module 11: Storage, Security, Ingress and Monitoring

Module 12: Final Kubernetes Project and Assessment

Final Submission Requirements

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What Will You Learn?

Course Content

Module 1: Docker Architecture and Container Concepts

Containers vs virtual machines

Benefits and use cases of containers

Docker client-server architecture

Docker Engine and daemon

Images, containers and registries

Container lifecycle

Port mapping and environment variables

Module 2: Guided Lab — Install Docker and Run NGINX

Install Docker on Ubuntu/AWS EC2

Start and enable Docker

Configure non-root access

Verify the installation

Pull the NGINX image

Run NGINX with port mapping

List running and stopped containers

View logs

Execute commands inside the container

Inspect, stop and remove the container

Complete a short knowledge check

Module 3: Docker Images, Dockerfiles and Registries

Image repositories and tags

Docker image layers

Build context and caching

Dockerfile workflow

FROM, RUN, COPY and WORKDIR

ENV and EXPOSE

CMD vs ENTRYPOINT

.dockerignore

Dockerfile best practices

Docker Hub workflow

Module 4: Guided Lab — Build and Publish an Image

Prepare a simple web application

Write a Dockerfile

Build the custom image

Run and test the container

Inspect the image

Create a Docker Hub repository

Tag and push the image

Pull and validate the published image

Module 5: Docker Storage and Networking

Container writable layer

Persistent vs ephemeral data

Bind mounts

Named volumes

tmpfs overview

Bridge networking

User-defined networks

Host and none networks overview

Container DNS

Container-to-container communication

Basic troubleshooting workflow

Module 6: Docker Mini Project

Create the application image

Create a user-defined Docker network

Run the application and database containers

Configure container communication

Attach persistent database storage

Publish the application port

Verify data persistence

Troubleshoot an intentional connectivity error

Submit the Dockerfile and Docker Hub image link

Module 7: Kubernetes Architecture and Core Objects

Need for container orchestration

Kubernetes features

Control plane and worker nodes

API server, scheduler and etcd

Controller Manager

Kubelet and container runtime

Kubernetes objects

Manifest structure

Namespaces and Pods

Labels and annotations

Pod lifecycle

Module 8: Guided Lab — Set Up Kubernetes and Deploy a Pod

Install and configure kubectl

Create a Minikube or kind cluster

Inspect nodes and cluster information