DevOps with Docker & Kubernetes Course in Mohali: Tools & Technologies Covered

This page lists the tools and technologies covered in the DevOps with Docker & Kubernetes course in Mohali at techcadd. Each tool is taught through hands-on labs, and by the end you use them together in one pipeline that builds, containerises, deploys and monitors an application.

How the Tools Fit Together

DevOps tools are easier to learn when you see the flow they support: code is stored in Git, a CI server builds and tests it, Docker packages it into an image, Kubernetes runs that image, infrastructure is created with code, and monitoring tools show whether everything is healthy. The course follows this same order.

Foundation Tools

Linux

Shell commands, file permissions, users, processes, package management, systemd services and basic networking commands, because most servers and containers run Linux.

Bash Scripting

Variables, loops, conditions and small automation scripts for routine server tasks.

Git and GitHub

Branching, merging, pull requests, resolving conflicts and branching strategies used by teams.

CI/CD Tools

Jenkins

Installing Jenkins, freestyle jobs, declarative pipelines written in a Jenkinsfile, agents, credentials and triggering builds from Git.

GitHub Actions

Workflow files, jobs and steps, building and pushing Docker images and running tests on every push.

Build and Quality Tools

Maven or npm builds, unit test reports and an introduction to code quality scanning with SonarQube.

Containerisation with Docker

• Docker Engine and CLI: running, stopping and inspecting containers.

• Dockerfile: writing efficient images with layers, multi-stage builds and small base images.

• Docker Compose: running multi-container apps such as a web app with a database.

• Registries: pushing images to Docker Hub or a cloud container registry.

• Volumes and networks: persisting data and connecting containers securely.

Orchestration with Kubernetes

Core Objects

Pods, ReplicaSets, Deployments, Services, Namespaces, ConfigMaps and Secrets, written as YAML manifests and applied with kubectl.

Scaling and Updates

Rolling updates, rollbacks, resource requests and limits, liveness and readiness probes, and the Horizontal Pod Autoscaler.

Networking and Storage

Ingress controllers, persistent volumes and persistent volume claims.

Helm

Packaging applications as Helm charts, using values files and installing community charts.

Local and Managed Clusters

Practising on Minikube or kind, and an overview of managed services such as Amazon EKS, Azure AKS and Google GKE.

Infrastructure as Code and Configuration

• Terraform: providers, resources, variables, state and creating cloud infrastructure repeatably.

• Ansible: inventories, playbooks and roles for configuring servers.

• Cloud basics: launching servers, networks and storage on AWS for labs.

Monitoring and Logging

Running applications must be observed. The course introduces Prometheus for collecting metrics, Grafana for dashboards and alerts, and centralised logging concepts using the ELK or EFK stack, so you can find and explain problems in a cluster.

Capstone: Using the Tools Together

The final project ties the tools into one workflow: a sample application is pushed to GitHub, built and tested by Jenkins or GitHub Actions, packaged with Docker, deployed to Kubernetes with Helm, provisioned with Terraform and monitored with Prometheus and Grafana. You document the pipeline so you can explain it in interviews.

Course Details and Who Can Join

The course suits IT and computer science students, system administrators, developers and testers moving into DevOps. Basic Linux and networking knowledge helps. Contact the team for the current duration, fee structure and batch timings.

Frequently Asked Questions

Which tools are covered in the Docker & Kubernetes course?

Linux, Bash, Git, Jenkins, GitHub Actions, Docker, Docker Compose, Kubernetes, Helm, Terraform, Ansible, Prometheus and Grafana, with cloud labs on AWS.

Do I need to know Linux first?

Basic Linux is helpful, but the course begins with the Linux commands and concepts needed for DevOps work.

Is Kubernetes taught on a real cluster?

You practise on local clusters such as Minikube or kind, and the trainers explain how managed services like EKS, AKS and GKE differ.

Will I write my own Dockerfiles and YAML manifests?

Yes. Writing Dockerfiles, Compose files, Kubernetes manifests and Helm charts is a core part of the labs.

Does the course help with Kubernetes certification?

The Kubernetes topics overlap with external exams such as CKA and CKAD. Those exams are conducted separately by their provider.

Is programming required?

Heavy programming is not required, but scripting in Bash and reading YAML are used throughout.

How do I know which batch to join?

Speak to the team about your background; they can suggest the right batch and timing.

Enquire About the Docker & Kubernetes Course at techcadd

To see the full tool list, syllabus and batch timings, get in touch with the team. Contact techcadd Mohali to book a demo DevOps session.