Cloud & DevOps

Kubernetes Training in Pune with Placement

Name: Archer Infotech
Address: Flat No. 12, Divyadarshan Housing Society, behind Kothrud Bus Stand Road, near Natraj Gas Agency, Londhe Wada, Chaitanya Nagar, Kothrud, Pune, Maharashtra, 411038, IN
Telephone: +91 9850 678451
Price range: ₹₹
Rating: 5

Pune's trusted Kubernetes classes at the Archer Infotech institute, Kothrud — weekday, weekend and online batches with placement assistance.

Master Kubernetes container orchestration. Learn to deploy, scale, and manage containerized applications in production.

5.0 from 126+ Google reviews

Trained: 10000+
Placed: 5000+
Placement rate: 90%
17+ years: Since 2009

2 Months

Advanced

Online & Offline

Curriculum last reviewed: 11 June 2026

Interested in this course?

Get in touch with us to learn more about the curriculum, batch timings, and fees.

Enquire Now +91 9850 678451

Next batch starting soon!

Our Kubernetes students get placed at

Tech Mahindra

TCS

Infosys

Wipro

Cognizant

Accenture

Capgemini

Persistent Systems

e-Zest Solutions

L&T Infotech

VSpace Software

iVision Software

And many more — 100+ corporate partners hiring across Pune and India.

Kubernetes is the dominant container orchestrator in Pune product engineering and a core requirement on most senior DevOps / SRE / Platform Engineer roles — Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mercedes-Benz R&D India, Mastercard Pune Tech Hub, plus most fintech and SaaS startups run their primary production workloads on it. Archer Infotech's Kubernetes training in Pune teaches the platform as it is actually used in 2026 — Kubernetes 1.30+ (extending toward 1.32 by mid-year), workloads (Deployments, StatefulSets, DaemonSets, Jobs), Services and Ingress (NGINX + Gateway API), Helm 3 and Kustomize, RBAC and Network Policies (Calico / Cilium), persistent storage, observability with Prometheus + Grafana + Loki + OpenTelemetry, plus GitOps with Argo CD. The course doubles as preparation for the Certified Kubernetes Administrator (CKA) exam. Classroom in Kothrud, online live, and weekend batches available.

Why Learn Kubernetes in 2026

Kubernetes is no longer optional for Pune DevOps / SRE / Platform Engineer hiring — it is the single biggest separator between junior and mid-level candidates on every shortlist. Indeed Pune lists more than 700 active Kubernetes-specific roles as of May 2026, with another 1,000+ DevOps / SRE / Platform JDs that list Kubernetes as a hard requirement. The biggest employers are Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mercedes-Benz R&D India, Mastercard Pune Tech Hub, Cummins, John Deere ETC, plus the IT services majors with platform-engineering practices. Senior Kubernetes engineers in Pune regularly earn 1.5–2× equivalent-experience pure-developer salaries because the role bundles deep operational expertise with on-call accountability.

What changed in 2026: Kubernetes 1.30+ is the production default, with Sidecar Containers now stable, ValidatingAdmissionPolicy (CEL-based admission control replacing many webhook use cases) GA, and improved native support for AI / GPU workloads via Dynamic Resource Allocation (DRA). Gateway API has eclipsed Ingress as the recommended traffic-routing API for new clusters. eBPF-based networking (Cilium) has become the default CNI in many production deployments, replacing Calico for new clusters. GitOps with Argo CD has become the deployment pattern of choice in Pune product engineering, replacing manual `kubectl apply` workflows. The CKA exam was refreshed to weight troubleshooting and security questions more heavily, with the 2024 changes largely baked in by 2026.

What this means for hiring: 2026 Pune Kubernetes JDs expect K8s 1.28+ at depth (architecture, workloads, services, ConfigMaps / Secrets, RBAC, Network Policies), Helm fluency, basic Argo CD GitOps, one observability stack (Prometheus + Grafana + Loki), troubleshooting at the `kubectl describe / logs / exec / debug` level, and at least one production deployment story. Senior roles add Cilium / eBPF, service mesh basics (Istio / Linkerd), Pod Security Standards, and FinOps via Kubecost. Archer Infotech's curriculum is rebuilt around exactly these expectations — engineering-first, troubleshooting-heavy, certification-ready.

700+ active Kubernetes-specific roles on Indeed Pune (May 2026)
Another 1,000+ DevOps / SRE / Platform JDs list K8s as a hard requirement
Kubernetes 1.30+ — Sidecars stable, Gateway API, DRA for GPUs
Argo CD GitOps + Cilium eBPF — the modern Pune production pattern
Senior K8s engineers earn 1.5–2× equivalent-experience pure devs
Certification path — CKA (Certified Kubernetes Administrator) included in curriculum

Who This Course Is For

For You If

Working developer wanting to add Kubernetes for senior backend / DevOps / Platform roles
Working DevOps engineer wanting to deepen K8s and add CKA to your resume
System / Linux administrator transitioning into modern Cloud / Container Platform engineering
Working Docker user (production or hobby) wanting to graduate to orchestration
Senior engineer at a Pune company that is migrating to Kubernetes — you need to lead the migration credibly
DevOps practitioner targeting CKA / CKAD / CKS certification path with proper hands-on prep

Not For You If

If you have no Linux command-line comfort — Linux fluency is required from day 1; we run kubectl + Bash + YAML constantly
If you have no Docker experience — take our Docker course first; Kubernetes assumes container fluency from day 1
If you have no programming or scripting background — at least basic Bash / Python is required for the operators / controllers / Helm chart work
If you cannot put in 10–12 hours per week of lab work outside class — Kubernetes is the most lab-heavy of all our tracks
If you only want a CKA certificate sticker with no production-engineering depth — there are cheaper exam-only courses; ours is engineering-first
If you have 4+ years of production K8s with Helm + Argo + service mesh — you'll be under-stretched; talk to us about advanced specialisations (CKS, multi-cluster, service mesh deep dive)

Detailed Curriculum

Kubernetes Architecture & First Cluster

Week 1

What Kubernetes actually is, taught from first principles. Cover the architecture (control plane: API server, etcd, scheduler, controller manager; data plane: kubelet, kube-proxy, container runtime), the API as the foundation (every K8s feature is just an API resource), and the kubectl mental model. Stand up a local cluster with kind / Minikube and a small managed cluster (EKS or AKS — student's choice), then deploy your first workload. By the end of week 1 every student has two working clusters and can explain the request flow when they run `kubectl apply`.

Kubernetes architecture — control plane and data planeAPI server, etcd, scheduler, controller managerkubelet, kube-proxy, container runtime (containerd)kubectl essentials and kubeconfigkind / Minikube for local clustersManaged clusters — EKS, AKS, GKE basicsFirst workload — Deployment + Service + IngressThe K8s extensibility story — CRDs, controllers, operators preview

Workloads — Pods, Deployments, StatefulSets, Jobs

Week 2

The full workload landscape. Pods (the atomic unit), multi-container patterns (sidecars, ambassadors, adapters — and why Sidecar Containers being stable in 1.30 changed lifecycle management), Deployments (the default for stateless apps), ReplicaSets (the layer below), StatefulSets (for stateful workloads — databases, message brokers, anything with stable identity), DaemonSets (for node-level agents — logging, monitoring, networking), Jobs and CronJobs (for batch and scheduled work). Plus the Pod lifecycle (init containers, readiness vs liveness vs startup probes — and the production failure modes of getting these wrong).

Pod basics — single and multi-containerSidecar Containers (stable in 1.30)Init containers and ephemeral containersProbes — readiness, liveness, startupDeployments — rolling updates, rollbacks, strategyReplicaSets and ownership chainsStatefulSets — stable identity, ordered deploymentDaemonSets for node-level agentsJobs and CronJobs

Services, Ingress, Gateway API & DNS

Week 3

The networking layer that takes the most time to learn deeply. Services (ClusterIP / NodePort / LoadBalancer / Headless — when each fits), kube-proxy modes, Endpoints and EndpointSlices, Service mesh preview (Istio / Linkerd — covered fully in week 8). Ingress with the NGINX Ingress Controller (still the dominant Pune choice), then the new Gateway API (the recommended replacement for Ingress for new clusters in 2026) — Gateway, GatewayClass, HTTPRoute, GRPCRoute. Plus CoreDNS for cluster DNS, the Service / Endpoint resolution flow, and the practical patterns for debugging 'why can't service A talk to service B'.

Service types — ClusterIP, NodePort, LoadBalancer, HeadlessEndpoints and EndpointSliceskube-proxy modes — iptables, ipvsIngress with NGINX Ingress ControllerGateway API — Gateway, HTTPRoute, GRPCRouteCoreDNS and cluster DNSNetwork debugging — `kubectl describe`, `nslookup`, port-forward

Configuration, Secrets & Storage

Week 4

ConfigMaps and Secrets as the K8s configuration primitives, the discipline of separating config from code, immutable ConfigMaps / Secrets for safer rollouts, plus the modern external-secrets pattern (External Secrets Operator + AWS Secrets Manager / Azure Key Vault / Vault). Then storage — Persistent Volumes (PV) and Persistent Volume Claims (PVC), Storage Classes, dynamic provisioning, the CSI driver landscape (EBS / Azure Disk / GCE PD), volume snapshots, and the StatefulSet + Postgres / Kafka / Redis pattern with proper persistence.

ConfigMaps and Secrets — basics and patternsImmutable ConfigMaps / SecretsExternal Secrets Operator + cloud secret storesSealed Secrets for GitOpsPersistent Volumes and Persistent Volume ClaimsStorage Classes and dynamic provisioningCSI drivers — EBS, Azure Disk, longhornVolume snapshots and restoreStatefulSet + Postgres / Redis / Kafka patterns

Helm 3, Kustomize & Operators

Week 5

The packaging and templating tools. Helm 3 (the de-facto package manager) — chart structure, values, templates, hooks, dependencies, OCI registry support, plus the discipline of writing Helm charts that scale to multi-environment deployment without copy-paste. Kustomize for the patches-and-overlays alternative pattern (built into kubectl, simpler for some teams). Operators and Custom Resource Definitions (CRDs) — what they are, when they are over-engineering, and when they are essential. We deploy kube-prometheus-stack via Helm as a real production observability install.

Helm 3 — charts, values, templates, hooksHelm chart dependenciesOCI registry support for HelmKustomize — bases, overlays, patchesHelm vs Kustomize — when to use whichCustom Resource DefinitionsOperator pattern and operator SDK basicskube-prometheus-stack deployment via Helm

RBAC, Network Policies & Pod Security

Week 6

Security as the senior-DevOps differentiator. RBAC — Roles, ClusterRoles, RoleBindings, ClusterRoleBindings, ServiceAccounts, the discipline of least-privilege role design. Network Policies — the deny-by-default pattern, namespace isolation, egress control, plus the Calico vs Cilium choice for the underlying CNI (Cilium with eBPF has become the production default for new clusters in 2026). Pod Security Standards (the replacement for the deprecated PodSecurityPolicy) and Pod Security Admission. Plus the new ValidatingAdmissionPolicy (CEL-based) which is replacing many webhook use cases.

RBAC — Roles, ClusterRoles, bindingsServiceAccounts and tokensNetwork Policies — ingress and egressCalico vs Cilium — choosing the CNICilium / eBPF networkingPod Security Standards and Pod Security AdmissionValidatingAdmissionPolicy (CEL-based, GA in 1.30)Image security — Trivy, cosign signatures

Observability — Prometheus, Grafana, Loki, OpenTelemetry

Week 7

The observability stack the Pune SRE community has settled on. Prometheus metrics with PromQL, recording rules, alerting rules, Alertmanager integration to PagerDuty / Opsgenie / Slack. Grafana dashboards (and the discipline of designing dashboards humans can actually use during an incident — Brendan Gregg's USE method, Google's Four Golden Signals, RED for services). Loki for logs with LogQL, Tempo for distributed traces, and OpenTelemetry as the instrumentation standard. We finish with a controlled-outage simulation — the trainer breaks something on the cluster and the class debugs it together using these tools.

Prometheus architecture and exportersPromQL — operators, functions, recording rulesServiceMonitors and PodMonitors (Prometheus Operator)Alertmanager and on-call integrationGrafana dashboards — USE / RED / Four Golden SignalsLoki + LogQL for logsTempo for distributed tracesOpenTelemetry instrumentationOn-call simulation — controlled outage

GitOps with Argo CD, Service Mesh & Capstone Prep

Week 8

The deployment pattern of choice in Pune product engineering — Argo CD with Application CRDs, ApplicationSets for multi-cluster fanout, sync policies, hooks, and the dev → staging → prod promotion pattern that mature teams actually use. Then a service mesh primer — Istio (the most-asked) and Linkerd (the simpler) — at the level you need to discuss them in interviews. Plus FinOps via Kubecost for cluster spend, Pod Disruption Budgets and Cluster Autoscaler / Karpenter for production resilience. Capstone project setup begins.

Argo CD — Application CRDs, sync policiesApplicationSets for multi-clusterPromotion patterns — dev → staging → prodSealed Secrets and External Secrets in GitOpsService mesh primer — Istio vs LinkerdFinOps via KubecostPod Disruption BudgetsCluster Autoscaler and KarpenterCapstone setup and scope review

Capstone Project & CKA Exam Preparation

Weeks 9–10 + 1 week placement prep

Two weeks of full-time capstone work plus structured CKA preparation. Pick one of three capstone projects (see Capstone Projects). For exam prep we run the CKA-style hands-on troubleshooting drills (the exam is 100% performance-based — fixing broken clusters under time pressure), two full-length mock exams under timed conditions, plus the kubectl shortcuts and aliases that save 10+ minutes on the real exam. Mock interviews target Pune Kubernetes hiring panels — Persistent, BMC, Bajaj Finserv, Synechron, BMW TechWorks. Includes a troubleshooting mock round, an architecture / scenario round, and a behavioural round. Resume / LinkedIn / GitHub polish included.

Capstone implementation, deployment, READMECKA-style hands-on troubleshooting drillsTwo full-length timed mock CKA examskubectl shortcuts and aliases for time savingsCluster troubleshooting mock roundK8s architecture / scenario mock roundResume + LinkedIn rewrite for K8s / Platform JDsGitHub portfolio polish — Helm charts, Argo apps, Grafana dashboardsHR mock interview and salary negotiation

Capstone Projects You Will Build

Project 1: Production-Grade Cluster with kube-prometheus-stack + Argo CD

A complete production-style Kubernetes cluster on EKS / AKS — cluster provisioned via Terraform, Argo CD installed via Helm and managing itself (the App-of-Apps pattern), three sample workloads (web frontend, REST API, worker) deployed via Helm charts in a Git repository, kube-prometheus-stack for metrics, Loki for logs, Sealed Secrets / External Secrets for credential management, NGINX Ingress with cert-manager for TLS, plus a small Network Policy baseline. The full cluster stands up via Terraform + Argo CD bootstrap and tears down clean. Outcome: a public GitHub repository with the cluster definition, Helm charts, and Grafana dashboards exported as JSON.

Terraform 1.7+EKS or AKSArgo CD with App-of-AppsHelm 3 chartskube-prometheus-stackLoki + TempoSealed Secrets / External Secretscert-manager + NGINX Ingress

Project 2: Multi-Tenant Platform with Network Policies + Cilium

A multi-tenant Kubernetes platform — three tenant namespaces with strict Network Policy isolation (deny-by-default ingress + egress), per-tenant RBAC and ResourceQuotas, Cilium as the CNI for eBPF observability (Hubble for live traffic visualisation), Pod Security Standards enforced, and a small admin Operator built with kubebuilder that manages tenant lifecycle. Demonstrates the patterns Pune Platform Engineer roles hire on — multi-tenant, secure, observable, extensible.

Cilium with HubbleNetwork Policies (deny-by-default)Pod Security StandardsRBAC + ResourceQuotasOperator built with kubebuilderExternal Secrets Operator

Project 3: GitOps Multi-Environment Promotion with Argo CD

A complete GitOps deployment platform — Argo CD with ApplicationSets managing dev / staging / prod environments, Helm charts with environment-specific values, automated promotion via PR-driven flow (PR for dev, tag for staging, manual approval for prod), Sealed Secrets for credential management in Git, plus a Slack notification integration on sync events. Demonstrates the deployment pattern of choice in Pune product engineering and is the artefact that opens senior Platform Engineer interviews.

Argo CD + ApplicationSetsHelm 3 with multi-env valuesSealed SecretsGitHub Actions for PR flowSlack notificationsOptional: Argo Rollouts for canary

Career Outcomes & Salaries in Pune

Kubernetes Administrator, Platform Engineer, and SRE are among the highest-paid technical roles in Pune in 2026 — Indeed Pune lists 700+ active Kubernetes-specific openings, plus another 1,000+ DevOps / SRE / Platform JDs that list Kubernetes as a hard requirement. Senior compensation regularly exceeds equivalent-experience full-stack developer offers because the role bundles deep operational expertise with on-call accountability. The biggest Pune employers are Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mercedes-Benz R&D India, Mastercard Pune Tech Hub, Cummins, John Deere ETC, plus the IT services majors with platform-engineering practices.

What pulls a Kubernetes engineer above the median band: a public GitHub repository with a real Argo CD GitOps deployment, demonstrable Helm chart authoring, one production observability stack you can defend, troubleshooting depth (the CKA-style hands-on skills), and the CKA certificate. Our capstone projects and certification track are designed exactly around these signals.

Senior Platform Engineer / SRE bands at the top end are reported as national figures (Pune-specific Indeed pages do not exist for those roles); Pune trends within ±10% of these figures based on AmbitionBox and 6figr.

Role	Salary band	Source
Kubernetes Administrator (Pune)	₹8,40,000 per year average	Indeed Pune (Kubernetes Administrator)
Junior Kubernetes Engineer (Pune entry, <2 years)	₹5,00,000 – ₹8,00,000 per year	AmbitionBox Pune Kubernetes Engineer
Mid-level Platform / DevOps Engineer with K8s (Pune, 3–5 years)	₹14,00,000 – ₹22,00,000 per year	Glassdoor Pune Platform Engineer
Senior Site Reliability Engineer (Pune, 5–8 years)	₹18,00,000 – ₹30,00,000 per year	Glassdoor Pune SRE
Lead / Staff Platform Engineer (national, 8+ years)	₹30,00,000 – ₹55,00,000 per year	6figr India Lead Platform Engineer (Pune ±10%)

Pune companies hiring Kubernetes professionals in 2026

Persistent SystemsBMC SoftwareBajaj FinservSynechronBMW TechWorks IndiaMercedes-Benz R&D IndiaMastercard Pune Tech HubCummins IndiaJohn Deere ETCHoneywellTCSInfosysCognizantCapgeminiAtos / EvidenMphasis

Roles after this Kubernetes course

Kubernetes AdministratorSite Reliability Engineer (SRE)Platform EngineerDevOps Engineer (Kubernetes-focused)Cloud-Native EngineerJunior Cluster OperatorContainer Platform Engineer

Course Duration, Batches & Modes in Pune

Duration: 8 weeks of structured curriculum plus 2 weeks of capstone project work and CKA / interview preparation (~2.5 months total)

Classroom

Archer Infotech, Kothrud, Pune

• Morning batch — 10:00 to 13:00
• Evening batch — 18:00 to 21:00
• Lab access available outside class hours

Online Live

• Same hours as classroom batches — morning or evening
• Recordings available for review
• Same lab reviews and project feedback as in-person batches

Tools used:

Zoom for live sessionsPersonal AWS / Azure sandbox for managed-cluster labsGitHub for code, Helm chart, and Argo CD manifest reviewsSlack / WhatsApp for asynchronous Q&A

Weekend

• Saturday + Sunday, 09:00 to 13:00

Stretches over ~4 months instead of 2.5 to accommodate working professionals. Same content, lower weekly load.

Maximum 15 students per batch — small enough that the trainer reviews every student's manifests and Helm charts personally. Classroom batches start every 4 weeks; weekend batches every 6 weeks.

Kubernetes Course Fees in Pune

Course fees range from ₹20,000 to ₹90,000 depending on mode (classroom / online / weekend), batch type, and any applicable concession. Kindly reach us for the current 2026 quote — we calibrate by early-bird timing, group enrolment, and returning-alumni concessions. The CKA exam voucher (USD ~395 / ~₹33,000, often discounted via CNCF promotions) is paid directly by the student and is not part of our fee. Cloud sandbox spend (managed-cluster labs) typically runs ₹500–₹1,500 across the course.

₹20,000 – ₹90,000 — the higher end covers placement-track classroom batches with full CKA mock-exam track, multi-tenant + GitOps capstones, and extended interview prep; the lower end covers concession-eligible online or weekend formats.

Payment options:

Single payment with early-bird discount
EMI in 2–3 instalments at no extra cost
Corporate sponsorship — invoiced to your employer with GST

Placement Support in Pune

Placement support starts from week 6 of the course, not at the end. By the time you finish the curriculum, your resume highlights real Argo CD GitOps work, your GitHub has a deployable cluster + Helm + Grafana reference repository, and you have completed at least three mock technical interviews against question banks from Pune Kubernetes / Platform hiring teams.

We say placement support, not placement guarantee — for two honest reasons. First, no institute can guarantee a hire when the final decision is the company's. Second, the institutes that do guarantee tend to bury the conditions in fine print. Our support is unconditional, time-bound (six months after course completion), and includes free re-entry to a future batch's interview-prep sessions if your first round of interviews does not land.

Placement process — week by week

Week 6 — resume and LinkedIn rewrite, calibrated for K8s / Platform / SRE JDs
Week 7 — GitHub portfolio cleanup, Helm chart polish, Grafana dashboard exports
Weeks 8–9 — CKA-style troubleshooting drills, architecture mock rounds
Weeks 9–10 — three rounds of mock technical interviews
Week 10 — HR mock interview and salary negotiation coaching
Post-course — referrals via our 17-year alumni network at 12+ partner companies
Up to 6 months of continued support after course end
Free re-entry to future batch interview-prep sessions if first round does not land

Partner companies

Persistent SystemsBMC SoftwareBajaj FinservSynechronBMW TechWorks IndiaMercedes-Benz R&D IndiaMastercard Pune Tech HubCumminsTCSInfosysCognizantCapgemini

See recent placement records →

How Archer Infotech Compares

We compare ourselves against typical Pune Kubernetes training institutes on factual rows only — no logos, no opinions. Use this as a checklist when evaluating any institute.

Factor	Archer Infotech	Typical Pune institute
Trainer named on course page with photo and LinkedIn	Yes — Amol Patil	No — generic 'expert trainers' branding
Personal cloud sandbox per student	Yes — managed cluster (EKS / AKS) + local kind / Minikube	Shared institute account or screen-share only
Kubernetes version covered	Kubernetes 1.30+ — Sidecars, Gateway API, ValidatingAdmissionPolicy	Often 1.24 or 1.26, no recent feature coverage
Helm 3 depth	Charts, dependencies, OCI registries, real production deployment	Helm install commands only, no chart authoring
GitOps coverage	Argo CD + ApplicationSets + promotion patterns hands-on	Not covered or marketing-only mention
Networking deep-dive	Cilium / eBPF, Network Policies, Gateway API	Calico basics only or skipped
Observability hands-on	Prometheus + Grafana + Loki + OpenTelemetry deployed and dashboarded	Slides on what Prometheus is, no actual deployment
Security + Pod Security Standards	RBAC + Network Policies + Pod Security Standards + Trivy + cosign	RBAC basics only or skipped
CKA preparation	CKA-style hands-on drills + two full-length mock exams	Topic list with no timed performance-based practice
Public GitHub portfolio output	Yes — Helm charts + Argo apps + Grafana dashboards	Rare
Salary data shown	Cited from Indeed Pune + AmbitionBox + Glassdoor + 6figr with source URLs	Single number with no source
Course fee transparency	₹20,000 – ₹90,000 published range with mode breakdown	Hidden behind enquiry form
Placement support duration after course	6 months, with free re-entry to interview prep	1–3 months or vaguely 'until placed'
Batch size cap	15 students	25–40 students

Compare with whoever you are considering — we welcome the comparison. The right test is whether you can see actual student Helm charts and Argo CD applications before you pay.

Kubernetes vs Docker — Which Should You Learn First?

Kubernetes vs Docker is the most-asked question by candidates who have heard both buzzwords. The honest answer: they solve different problems. Docker (the container runtime + image format) is the prerequisite; Kubernetes (the orchestrator) is what you graduate to once you know Docker. You do not pick between them — you learn Docker first, then add Kubernetes.

Pune market reality: pure Docker-only roles are rare; Kubernetes roles assume Docker fluency. Indeed Pune lists 700+ Kubernetes-specific openings vs 200+ Docker-only — and many of those Docker-only roles are at companies that haven't moved to Kubernetes yet (a shrinking pool).

Honest recommendation: if you have no container experience, take our Docker course first — 1.5 months, foundational. Then take this Kubernetes course as the next step. Skipping Docker and going straight to Kubernetes wastes the first three weeks because everything in Kubernetes assumes Docker fluency. Many of our DevOps students take Docker → Kubernetes back-to-back; the combined learning is roughly 4 months and produces a hire-ready DevOps / Platform Engineer profile.

Prerequisites & How to Start

Prerequisites: Docker fluency (Dockerfile authoring, multi-stage builds, Compose at a working level — if you have not used Docker production-style, take our Docker course first), Linux command-line comfort, basic Bash / Python scripting, and willingness to commit 10–12 hours per week of lab work outside class. Working DevOps engineers, backend developers with Docker experience, and Linux administrators typically slot in well; pure Windows-administrator candidates with no container background should do Docker + Linux foundations first.

Decide your mode — classroom in Kothrud, online live, or weekend
Check the upcoming batch dates on our batch schedule page
Book a free 30-minute counselling call — we will honestly tell you whether the course fits your goal (we say no to roughly 15% of K8s enquirers because Docker / Linux foundation isn't yet there)
Confirm enrolment and complete pre-course orientation (Docker, kubectl, kind / Minikube install scripts; AWS / Azure account creation guide for managed-cluster labs)
Show up to day one with a laptop running 64-bit Linux / macOS / Windows-with-WSL2, 16GB+ RAM (recommended for local clusters), and Docker Desktop or Docker Engine pre-installed

Frequently Asked Questions

Which is the best Kubernetes training institute in Pune?+

We can't honestly answer 'best' for ourselves. The test that works: ask any institute you are considering to (1) name the trainer who will teach your batch and show their LinkedIn, (2) show real student Helm charts and Argo CD applications on GitHub, and (3) name companies that hired their last 5 batches. Compare on those three.

How long does Kubernetes training in Pune take at Archer Infotech?+

Approximately 2.5 months — 8 weeks of structured curriculum plus 2 weeks of capstone project and CKA / interview preparation. The weekend batch stretches over ~4 months at the same content depth, designed for working professionals.

What is the salary of a Kubernetes Engineer in Pune?+

Indeed Pune reports an average of ₹8.40 lakh per year for Kubernetes Administrator. Junior Kubernetes Engineer Pune entry sits at ₹5–8 lakh per year per AmbitionBox. Mid-level Platform / DevOps Engineers with K8s (3–5 years) earn ₹14–22 lakh per Glassdoor. Senior SREs (5–8 years) earn ₹18–30 lakh. Lead / Staff Platform Engineers earn ₹30–55 lakh nationally with Pune trending within ±10%.

What is the fee for the Kubernetes course in Pune?+

Course fees range from ₹20,000 to ₹90,000 depending on mode (classroom / online / weekend), batch type, and applicable concession. The higher end covers placement-track classroom batches with full CKA mock-exam track and extended interview prep; the lower end covers concession-eligible online or weekend formats. Cloud sandbox spend across the course typically runs ₹500–₹1,500 (paid directly to AWS / Azure). The CKA exam voucher (~₹33,000) is paid directly to CNCF.

Does the course prepare me for the CKA certification?+

Yes — CKA preparation is woven through the curriculum and concentrated in weeks 9–10. Two full-length timed mock exams plus CKA-style hands-on troubleshooting drills are part of the course. Most students who complete the lab work seriously pass the live exam on first attempt.

Should I learn Docker first?+

Yes — Docker fluency is required from day 1. We do not start from 'what is a container'. If you have not used Docker production-style (Dockerfile authoring, multi-stage builds, Compose), take our Docker course first; that is 1.5 months and ramps you up to the level this course assumes.

Will I work on real projects?+

Yes — three capstone projects: (1) production-grade cluster with kube-prometheus-stack + Argo CD on EKS / AKS, (2) multi-tenant platform with Network Policies + Cilium + custom Operator, (3) GitOps multi-environment promotion with Argo CD + ApplicationSets. All three become public GitHub repositories with cluster manifests, Helm charts, and Grafana dashboard exports.

Do I get my own cluster during the course?+

Yes — every student runs a local kind / Minikube cluster from day 1 plus a managed cluster (EKS or AKS — student's choice) for production-realistic exercises. Cloud spend stays under ₹1,500 across the course if you tear down resources after labs (which we drill the discipline of).

Is Argo CD / GitOps covered?+

Yes — week 8 is dedicated to Argo CD with ApplicationSets and the dev → staging → prod promotion pattern. Capstone Projects #1 and #3 use Argo CD as the deployment driver. GitOps has become the deployment standard in Pune product engineering; we treat it as core, not advanced.

What about service mesh — Istio / Linkerd?+

Service mesh is covered at primer depth in week 8 — what it is, when it earns its complexity, what Istio and Linkerd each do. We do not deep-dive Istio in this course because it would deserve a separate 4-week track; service mesh interview questions at the primer level are what most Pune K8s panels ask, and we cover that fully.

Are weekend Kubernetes classes available in Pune?+

Yes — Saturday and Sunday, 09:00–13:00, stretched over ~4 months instead of 2.5. Same content, same trainer, same labs and capstone. Designed for working professionals who cannot attend weekday batches.

How does this course compare to your DevOps course?+

The DevOps course is the broader programme — Linux + Git + Docker + K8s + CI/CD + Terraform + Observability + Security + FinOps over 3 months. This Kubernetes course is the focused deep-dive — 2.5 months on Kubernetes specifically with CKA prep included. Pick the DevOps course if you are starting fresh and need the broad foundation; pick this course if you already have Linux / Docker / CI/CD covered and want K8s depth + CKA.

What support do I get after course completion?+

Six months of active placement support — mock interviews calibrated for Kubernetes / SRE / Platform Engineer roles (troubleshooting + architecture + behavioural rounds), referrals via our alumni network at 12+ partner companies, resume / LinkedIn / GitHub rewrites, and salary negotiation coaching. If your first round of interviews does not land, you can sit in on a future batch's interview-prep sessions free of charge.

Is the named trainer actually teaching, or are they just on the brochure?+

Amol Patil personally leads every session of every batch from Day 1 through capstone — he ships Kubernetes manifests and Helm charts daily and brings real production patterns into the classroom. The same name on this page is the same person you meet on day one; his LinkedIn is on the trainer profile page, and we welcome a 30-minute conversation with him before you enrol.

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Taught by an Industry Expert

Every batch is led by a working professional with years of MNC experience.

Amol Patil

Senior Corporate Trainer

10+ years experience

Kubernetes Training in Pune with Placement

Interested in this course?

Why Learn Kubernetes in 2026

Who This Course Is For

Detailed Curriculum

Capstone Projects You Will Build

Career Outcomes & Salaries in Pune

Pune companies hiring Kubernetes professionals in 2026

Roles after this Kubernetes course

Course Duration, Batches & Modes in Pune

Kubernetes Course Fees in Pune

Placement Support in Pune

How Archer Infotech Compares

Kubernetes vs Docker — Which Should You Learn First?

Prerequisites & How to Start

Frequently Asked Questions

Taught by an Industry Expert

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Kubernetes careers in Pune — monthly briefing

Ready to Start Your Kubernetes Journey?

Detailed Curriculum

Capstone Projects You Will Build

Career Outcomes & Salaries in Pune

Pune companies hiring Kubernetes professionals in 2026

Roles after this Kubernetes course

Course Duration, Batches & Modes in Pune

Kubernetes Course Fees in Pune

Placement Support in Pune

How Archer Infotech Compares

Kubernetes vs Docker — Which Should You Learn First?

Prerequisites & How to Start

Frequently Asked Questions