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DevOps for Data · Corporate & open batches

Docker & Kubernetes

Containerise applications and run them on Kubernetes with deployments, services and configuration.

  • ✓ Instructor-led live sessions, online or in Bengaluru
  • ✓ Hands-on labs in every module
  • ✓ Capstone project with trainer review
  • ✓ Curriculum customisable for corporate teams
  • ✓ Certificate of completion

Next batch: Mon, 23 Nov 2026 · 24 hours · 3 days

DevOps for Data

Docker & Kubernetes

Duration: 24 hours · 3 days
Next batch: Mon, 23 Nov 2026
Format: Online live · Bengaluru classroom
Modules: 7 · Topics: 34
Level: Beginner to Intermediate
Fee: ₹10,999 per participant + GST

Enquire now
Delivered on Constellation · Powered by Learning Dots →
Learn from a practising trainer

Trusted by leading experts

Karthick Selvam
Founder · Data Engineering Corporate Trainer · Bengaluru
Hands-on delivery
Labs, reviews and a capstone in every programme
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Schedule

Upcoming batches

Open batches for individuals; corporate batches on your dates.

ProgrammeStartsModeScheduleDuration
Docker & KubernetesMon, 23 Nov 2026Online liveWeekday
9:30 AM – 5:30 PM IST
3 daysEnquire
Docker & KubernetesSat, 23 Jan 2027Online liveWeekend (Sat)
10:00 AM – 5:00 PM IST
4 SaturdaysEnquire

Corporate batches for your team can be scheduled on dates that suit you.

Career outlook

Soaring demand, and where it takes you

Containers and Kubernetes are now standard in modern platforms, keeping these skills in steady demand.

Qualitative outlook based on our industry experience; no statistics are claimed.

Career roles

Become an expert

Roles this programme prepares you for:

Become a Kubernetes Engineer

Deploys and operates workloads on Kubernetes.

What you will do
  • Build efficient Docker images
  • Run multi-container apps with Compose
  • Deploy workloads with pods, deployments and services
Skills you will use
DockerKubernetesHelmTroubleshooting
Overview

About the course

Containerise applications with Docker and run them on Kubernetes: images and registries, Compose, pods, deployments and services, configuration and secrets, Helm and troubleshooting.

Containerise applications and run them on Kubernetes with deployments, services and configuration.

Audience

Why should I attend?

Developers

DevOps and platform engineers

System administrators

Data and ML engineers deploying services

Prerequisites

Linux command line basics

Level

Beginner to Intermediate

Format

Delivery modes, duration and fee

Online live

Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches

Bengaluru classroom

In-person batches at our Bengaluru training venue

On-site at your office

Private corporate batch anywhere in India, scheduled around your teams

Blended

Live sessions plus guided self-paced labs and mentor check-ins

Duration: 24 hours · 3 days
Course fee (open batch): ₹10,999 per participant + GST
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.

Outcomes

What will you learn

  • Build efficient Docker images
  • Run multi-container apps with Compose
  • Deploy workloads with pods, deployments and services
  • Manage configuration and secrets
  • Package applications with Helm
  • Troubleshoot failing pods and networking
Skills

Skills you will gain

Containers

Dockerfilesimagesregistries

Kubernetes

workloadsservicesstorage

Operations

Helmtroubleshootingscaling
Tools

Tools and platforms covered

Docker
Kubernetes
Helm
kubectl
Linux
GitHub Actions

Product names and logos are trademarks of their respective owners. Their use here does not imply endorsement.

Curriculum

Course curriculum

7 modules · 34 topics · hands-on labs · capstone project · 24 hours · 3 days

M01 Containers · 5 topics · 4 hrs
  • Docker basics
  • Dockerfiles
  • Image optimisation
  • Container networking
  • Volumes

🧪 Hands-on: Containerise an app

M02 Compose and registries · 5 topics · 4 hrs
  • Docker Compose
  • Registries
  • Tagging
  • Multi-container apps
  • Image scanning

🧪 Hands-on: Run a multi-container app

M03 Kubernetes core · 5 topics · 4 hrs
  • Pods
  • Deployments
  • Services
  • ReplicaSets
  • Namespaces

🧪 Hands-on: Deploy to a cluster

M04 Configuration and storage · 5 topics · 4 hrs
  • ConfigMaps and Secrets
  • Volumes
  • StatefulSets overview
  • Persistent volumes
  • Resource requests and limits

🧪 Hands-on: Configure the app

M05 Helm and scaling · 5 topics · 4 hrs
  • Helm charts
  • Autoscaling
  • Rolling updates
  • Ingress
  • Probes

🧪 Hands-on: Package and scale

M06 Troubleshooting · 5 topics · 4 hrs
  • Logs and events
  • Common failures
  • Debugging tools
  • kubectl debugging
  • Network policies

🧪 Hands-on: Fix broken deployments

M07 Capstone: deploy a microservice app · 4 topics
  • Containerise
  • Helm chart
  • Deploy
  • Scale and troubleshoot

🧪 Hands-on: Run a multi-service app on Kubernetes

Projects

Hands-on projects

Containerised application

An application packaged with Helm and deployed with autoscaling and rolling updates.

Why us

Why train with us

Built around your stack

Labs and examples adapted to the tools, cloud and data your team actually uses.

Practice-first

Every module ends in a lab, and the course ends with a reviewed capstone.

Practitioner-led

Delivered by Karthick Selvam and vetted specialist trainers from our network.

Visible progress

Attendance, lab completion and assessment results shared with your L&D team.

How we deliver →

Certificate

Certificate of completion

Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Docker & Kubernetes. [confirm certificate wording / sample image]

Reviews

Learner reviews

“[Verified learner review for this course]”

[Name, role, company]

“[Verified learner review for this course]”

[Name, role, company]

Placeholder slots; to be replaced with genuine, permission-cleared reviews.

Trainer

Meet your trainer

Karthick Selvam

Founder · Data Engineering Corporate Trainer, Bengaluru

[Trainer bio, experience and areas of expertise]

Specialist trainers from our network may co-deliver advanced modules. [list co-trainers if any]

FAQ

Frequently asked questions

Do we need a cloud Kubernetes cluster?

Labs can use local clusters or a managed cluster.

Can the curriculum be customised for our team?

Yes. Modules, depth, duration and labs can be tailored to your stack and goals.

What delivery formats are available?

Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.

How do we enquire or book?

Use the enquiry form on this page or the Enquire button next to any batch.

What does it cost?

The open-batch fee is ₹10,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.

How long is the course?

24 hours · 3 days. Corporate batches can be split into half-day sessions.

Docker & Kubernetes

A closer look

About this course

Containerise applications with Docker and run them on Kubernetes: images and registries, Compose, pods, deployments and services, configuration and secrets, Helm and troubleshooting.

What is Docker & Kubernetes?

Containerise applications and run them on Kubernetes with deployments, services and configuration.

Who this course is for

Developers, DevOps and platform engineers, System administrators, Data and ML engineers deploying services.

What you will be able to do

Build efficient Docker images. Run multi-container apps with Compose. Deploy workloads with pods, deployments and services. Manage configuration and secrets. Package applications with Helm. Troubleshoot failing pods and networking.

Career paths

Roles this course supports include Kubernetes Engineer, DevOps Engineer, Platform Engineer. Containers and Kubernetes are now standard in modern platforms, keeping these skills in steady demand.

Enquire about Docker & Kubernetes

Download course curriculum

We will email the detailed curriculum. [attach PDF curriculum]