Kubernetes
Kubernetes is a 9-week intermediate course covering Pods, Deployments, Services, ConfigMaps, Secrets, health probes, rolling updates, autoscaling, RBAC, and Helm packaging. Learners with container and networking basics deploy and expose applications, then build an autoscaling application packaged as a Helm chart with role-based access control and rollback evidence.
Deploy and diagnose a Kubernetes workload using declarative resources, probes, configuration and controlled rollout.
What you'll learn
Course details
Duration
9 weeks
Best for
Learners who already have: Containers, networking and basic deployment concepts.
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Kubernetes.
01Basic
4 topicsWeeks 1–2
- What is Kubernetes, and why do you need it beyond Docker?
- Pods, Deployments, and Services: core Kubernetes objects
- kubectl basics: interacting with a cluster
- Project: Deploy and expose a simple application
02Intermediate
4 topicsWeeks 3–4
- ConfigMaps and Secrets: externalizing configuration
- Health checks: liveness and readiness probes
- Rolling updates and rollbacks
- Project: Deploy an app with health checks, config, and a rolling update
03Advanced
4 topicsWeek 5
- Turn a business request into a testable contract
- Understand desired state, pods and controller ownership
- Connect Services to ready endpoints through selectors
- Separate configuration, secrets and resource policy
04Pro
4 topicsWeeks 6–7
- Horizontal Pod Autoscaling and resource requests/limits
- Namespaces, RBAC, and multi-tenancy basics
- Helm: packaging and managing Kubernetes applications
- Project: Package an autoscaling application as a Helm chart with RBAC
05AI Pro
3 topicsWeeks 8–9
- Using Claude, ChatGPT, and Perplexity to write and debug Kubernetes manifests
- Verifying AI-suggested Kubernetes manifests before applying to real clusters
- Project: Use AI to build a complete manifest set, then verify actual connectivity
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Part of a bigger program
This skill is one of the real building blocks inside our Career Program— worth a look if you want the fuller, job-ready path instead of just this one piece.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Kubernetes get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Kubernetes, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Kubernetes
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 9 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Kubernetes
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 9 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Kubernetes course?
You'll learn: Turn a business request into a testable contract; Understand desired state, pods and controller ownership; Connect Services to ready endpoints through selectors; Separate configuration, secrets and resource policy.
What tools and technologies does the Kubernetes course cover?
This course covers: Kubernetes, kubectl, Helm, ChatGPT, Claude, Perplexity.
Is the Kubernetes course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject.
How long does the Kubernetes course take to complete?
The course is designed to be completed in approximately 9 weeks, depending on your pace.
What enrollment options are available for Kubernetes?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Kubernetes?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Kubernetes?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in Kubernetes?
You'll work on real projects such as: Kubernetes API deployment with probes, configuration and rollback evidence.
Is placement support included with Kubernetes?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
