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DCP · DevOpsSchool Certification

DevOps Certified Professional (DCP)

The flagship end-to-end DevOps certification — from Linux and Bash all the way to Databricks, Datadog and AIOps. Every session is a live demo in a real lab environment — not slides, not theory. You watch the instructor build it, then you build it yourself.

 4.8 / 5 · 2,300+ ratings 18,000+ certified learners 847 enrolled in last 90 days
Duration
5 weeks
Total content
100+ hours
Per tool
5 hrs · 2 assignments · 1 capstone
Final exam
3 hrs · online · open-book
Watch 2-min preview Download syllabus
NEXT COHORT · 1st of next month
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Only 3 of 10 seats left

What's included
  • 5-week program · 100+ hours of content
  • Live & interactive instructor sessions
  • 2 assignments & 1 capstone per tool
  • 3-hour online open-book final exam
  • Recordings, slides & lab repos
  • Industry-recognised digital certificate
  • Lifetime forum support — ask anything, forever
  • FREE 1-year LMS access — entire DevOpsSchool LMS: 20+ courses, 50+ tools, videos, quizzes, assignments & projects.
Cohort-cancellation refund. If we cancel or postpone the cohort (instructor unavailability, low enrolment, force majeure), you receive a 100% refund within 15 days. See refund policy.
Engineers we've trained work at
JPMorgan Chase Bank of America Wells Fargo Verizon Nokia World Bank GE Healthcare VMware Oracle Qualcomm Mercedes-Benz Airbus Datadog Splunk Deloitte Infosys Wipro Capgemini
# career outcomes

Walk in an engineer. Walk out a DCP who ships.

By the end of DCP, you'll have shipped 19 production-grade artefacts and proven you can:

Design CI/CD for multi-service applications, with branching, gates, and progressive rollout.

Provision infrastructure as code across AWS, Azure, or GCP using Terraform — including drift control.

Automate configuration at scale with Ansible — idempotent playbooks, secret-free roles.

Run containers on Kubernetes — workloads, networking, autoscaling, observability.

Shift security left — SAST/DAST, SBOM, signed images, policy as code with OPA.

Operate SLOs — define error budgets, run incident response, write postmortems.

Median salary after certification
$118K – $165K
Roles our DCP alumni land: DevOps Engineer · Platform Engineer · SRE · Build & Release Manager · Cloud Automation Lead. Based on alumni reporting, 2024–25.
# why this program

It's training built by people who run production for a living.

Taught by senior practitioners

Every instructor has 15+ years operating production systems — our lead instructor, Rajesh Kumar, has 20.

Build your own lab — not a sandbox

We teach you to provision a production-grade environment on your own AWS/Azure/GCP. It's the same skill you'll use day one on the job — and it goes with you when you leave.

100% demo-driven

Every session is a live demonstration in a working lab — never slides, never theory. You watch the instructor build it in real time, then you build it yourself.

Job-ready portfolio

You leave with 19 GitHub-ready projects you can show in interviews tomorrow.

# next cohort

Live cohorts — pick the track that fits your week.

Every cohort is capped at 10 learners by design. That's how the instructor still answers your real production questions in week 4 — not just the rehearsed ones from week 1.

Weekend cohort Most popular

Starts 1st of next month · Sat · Sun · 10:00 AM – 1:00 PM IST
  • 5 weekends · ~8 hrs/weekend live + self-paced
  • Designed for working professionals on IST/EST/GMT
  • Mentor office hours · Sunday 11 AM IST
  • Only 3 of 10 seats left

Weekday cohort

Starts 1st of next month · Mon · Wed · Fri · 8:00 – 10:00 PM IST
  • 5 weeks · ~12 hrs/week (live + self-paced)
  • Recorded same-day · always-available replay
  • Mentor office hours · Thursday 7 PM IST
  • Capped at 10 learners — small-batch by design

Need a custom corporate cohort for your team? Talk to us →

# curriculum · DCP

Tool-by-tool. Live demos, not slides.

Each tool is taught as a working live demonstration inside a real lab environment — you see it built end-to-end before you build it yourself. The structure is identical for every tool, so you always know what's coming and what you'll have shipped by the end of the week.

5 hours
content per tool
(live + self-paced video)
2 assignments
per tool
graded with feedback
1 capstone
per tool
GitHub-public portfolio
3-hr exam
online · open-book
at the end of the program
01 DevOps Fundamentals — DevOps Concepts Video5 hrs · 2 assignments · 1 capstone
The mental model behind everything that follows: CALMS, the Three Ways, flow, feedback, continuous learning. Where engineering teams really waste cycles and how DevOps unblocks them. Toolchain landscape and how the 18 tools that follow fit together.
  • Assignments: (1) map the value stream of a service you work on today; (2) identify three flow bottlenecks and the DevOps practice that solves each
  • Capstone: write a DevOps adoption proposal for your own organisation — metrics, sequencing, risk register
02 Operating System & Scripting — Linux & Bash Scripting Video5 hrs · 2 assignments · 1 capstone
Linux essentials — filesystem, processes, networking, systemd, journald, package managers. Bash scripting from one-liners to production-grade scripts: arguments, error handling, traps, logging, idempotency.
  • Assignments: (1) shell-script suite for log rotation and analysis; (2) systemd service unit with journald-friendly structured logging
  • Capstone: idempotent bootstrap script that takes a vanilla Linux server to production-ready in one command
03 Cloud Platform — AWS Live & Interactive5 hrs · 2 assignments · 1 capstone
IAM, VPC, EC2, S3, RDS, EKS, CloudWatch, Cost Explorer, Well-Architected Framework. Multi-account organisation design, landing zones, tagging discipline, and where the dollars actually go.
  • Assignments: (1) build a hardened VPC with public/private subnets and least-privilege IAM; (2) deploy a 3-tier app with ALB + Auto Scaling
  • Capstone: production-ready multi-AZ AWS environment for a sample app, with monitoring and cost tagging
04 Cloud Platform — Azure Live & Interactive5 hrs · 2 assignments · 1 capstone
Subscriptions, Entra ID, Resource Groups, AKS, Application Gateway, Azure Monitor, Cost Management, Azure Policy. Hub-and-spoke landing zones, RBAC, and policy-driven governance.
  • Assignments: (1) deploy a 3-tier app on App Service + Azure SQL with managed identities; (2) AKS cluster fronted by Application Gateway Ingress Controller
  • Capstone: hub-and-spoke Azure landing zone with policy compliance and centralised logging
05 Container Platform — Docker Video5 hrs · 2 assignments · 1 capstone
BuildKit, multi-stage builds, distroless base images, image hygiene, Cosign signing, SBOM generation, supply-chain attacks. Image registry strategy, vulnerability scanning, and the difference between secure-by-default and secure-by-accident.
  • Assignments: (1) take a bloated Dockerfile and cut it to a distroless multi-stage build; (2) Cosign-sign your image and verify it in CI
  • Capstone: hardened container image with signed SBOM that gates a CI pipeline on policy violations
06 Backend Programming — Python Video5 hrs · 2 assignments · 1 capstone
Python for engineers who build tools, not products: virtual envs, packaging, click for CLIs, FastAPI for service stubs, pytest, type hints, boto3. Pythonic patterns for automation, error handling, and structured logging.
  • Assignments: (1) build a click-based CLI that audits S3 bucket policies; (2) build a metrics-exporter microservice with FastAPI
  • Capstone: end-to-end internal tool — CLI + service + tests + container — ready for prod use
07 SCM & DevSecOps — Git, GitHub, GitHub Advanced Security & GitHub Actions Live & Interactive5 hrs · 2 assignments · 1 capstone
Branching strategies, reusable workflows, matrix builds, OIDC to cloud, runner strategies. GitHub Advanced Security — CodeQL, secret scanning, dependency review. Supply-chain attestation with SLSA / Sigstore.
  • Assignments: (1) reusable workflow that lints, tests, and deploys with OIDC; (2) GHAS-enabled repo with code-scanning, secret-scanning and dependency-review gates
  • Capstone: a production-ready pipeline from PR → multi-env deploy, with full DevSecOps gates and signed attestations
08 Code Analysis & Security Testing — SonarQube, OWASP Threat Dragon, OWASP Dependency-Check & OWASP ZAP (SAST · DAST · SCA) Live & Interactive5 hrs · 2 assignments · 1 capstone
SAST with SonarQube (quality gates, custom rules), DAST with OWASP ZAP (baseline scans, full active scans, automation), SCA with OWASP Dependency-Check, and threat modeling with OWASP Threat Dragon.
  • Assignments: (1) SonarQube quality gate that blocks merge on new code smells / coverage drops; (2) ZAP scan automated in CI with HTML report artefact
  • Capstone: a full security-testing pipeline — SAST + DAST + SCA + threat model — running on every PR with policy-driven blocking
09 Build Management — Gradle Video5 hrs · 2 assignments · 1 capstone
Build scripts (Groovy & Kotlin DSL), dependency resolution, multi-project builds, build cache, build scans, custom plugins. Where Gradle wins vs Maven, and how to keep build times sane as the codebase grows.
  • Assignments: (1) migrate a non-trivial Maven project to Gradle; (2) write a custom Gradle task and package it as a plugin
  • Capstone: optimised multi-module Gradle build with remote build cache, parallel execution and reproducible artefacts
10 Configuration & Deployment Management — Ansible Video5 hrs · 2 assignments · 1 capstone
Roles, inventory patterns, Ansible Vault, dynamic inventory, idempotency in anger, custom modules, callback plugins. AWX/Tower vs CLI, and where to draw the line vs Terraform.
  • Assignments: (1) Ansible role for a hardened Linux baseline (CIS-aligned); (2) Vault-aware role for secret-free configuration management
  • Capstone: configure and harden a 20-node fleet end-to-end — users, packages, hardening, monitoring agents, dynamic inventory from cloud
11 Container Orchestration — Kubernetes, Helm & OpenShift Live & Interactive5 hrs · 2 assignments · 1 capstone
Workloads, Services, Ingress, RBAC, HPA/VPA, secrets & ConfigMaps, NetworkPolicies, StorageClasses. Helm charts (templating, values, releases). OpenShift-specific: Routes, BuildConfigs, Operators, SCCs.
  • Assignments: (1) Helm chart for a microservice with HPA and Ingress; (2) deploy the same workload to OpenShift with Routes and an Operator
  • Capstone: production microservice running on OpenShift via Helm, with autoscaling, NetworkPolicies, and full observability wiring
12 Infrastructure as Code — Terraform Live & Interactive5 hrs · 2 assignments · 1 capstone
Modules, state, workspaces, drift detection, import, Terragrunt, testing with Terratest, tagging discipline and chargeback. CI patterns for Terraform — Atlantis, plan-as-PR-comment, drift alarms.
  • Assignments: (1) Terraform module for a hardened VPC (re-usable across envs); (2) multi-env state with Terragrunt and remote backends
  • Capstone: production-ready multi-env AWS / Azure infrastructure with CI gating, drift detection and Terratest coverage
13 CI/CD & GitOps — Tekton & Argo CD Video5 hrs · 2 assignments · 1 capstone
Tekton: Tasks, Pipelines, Triggers, EventListeners, reusable catalog. Argo CD: app-of-apps, sync waves, hooks, RBAC, multi-cluster. Argo Rollouts for canary & blue-green.
  • Assignments: (1) Tekton pipeline that builds, scans and pushes; (2) Argo CD app-of-apps managing dev / stg / prod from a single repo
  • Capstone: a fully GitOps-driven multi-env deployment with progressive rollouts and automated rollback on SLO breach
14 Observability & Monitoring — Prometheus, Grafana & OpenTelemetry Live & Interactive5 hrs · 2 assignments · 1 capstone
PromQL, recording & alerting rules, exporters, federation. OpenTelemetry SDK + Collector — metrics, traces, logs in one pipeline. Grafana dashboards as code, SLO-aware alerting that doesn't page on noise.
  • Assignments: (1) instrument a service end-to-end with OTel (metrics + traces); (2) SLO-aware Grafana dashboard + Alertmanager pipeline
  • Capstone: end-to-end observability stack for a microservices app — SLOs, error budgets, paging that fires only when it should
15 Log Monitoring — ELK Stack Video5 hrs · 2 assignments · 1 capstone
Elasticsearch, Logstash, Kibana, Beats. Index patterns, ILM policies, parsing pipelines, query DSL, Kibana dashboards. OpenSearch differences and migration considerations.
  • Assignments: (1) Logstash pipeline that parses, enriches and ships structured logs; (2) Kibana dashboard for error-rate analysis with anomaly callouts
  • Capstone: centralised log monitoring stack for a microservices environment — ingestion, ILM, dashboards, alerts
16 Application Performance Monitoring — Jaeger Video5 hrs · 2 assignments · 1 capstone
Distributed tracing fundamentals — spans, context propagation, sampling strategies. Jaeger architecture, OpenTelemetry → Jaeger, trace analysis, root-cause-from-traces.
  • Assignments: (1) instrument a multi-service app with Jaeger via OTel; (2) root-cause a latency regression from a tracing waterfall
  • Capstone: production-ready distributed tracing setup with Jaeger, sampling policy and an investigation runbook
17 Secrets Management & SIEM — HashiCorp Vault & Microsoft Sentinel Live & Interactive5 hrs · 2 assignments · 1 capstone
Vault: secrets engines, dynamic credentials, policies, transit encryption, AppRole/OIDC auth. Microsoft Sentinel: log aggregation, KQL analytics rules, workbooks, threat hunting, playbooks.
  • Assignments: (1) Vault-backed dynamic AWS / database credentials with TTL; (2) Sentinel analytics rule + workbook for a real attack pattern
  • Capstone: end-to-end secrets management + SIEM monitoring for a production environment — from credential issuance to alert triage
18 Data Platform · MLOps · DataOps · GenAI — Databricks Live & Interactive5 hrs · 2 assignments · 1 capstone
Databricks Lakehouse, Delta Live Tables, MLflow, Unity Catalog, Model Serving, Vector Search. DataOps practices on Databricks — quality, lineage, observability. GenAI patterns: RAG, evaluation, guardrails.
  • Assignments: (1) Delta Live Tables pipeline for a streaming dataset with expectations; (2) MLflow-tracked model + Model Serving endpoint
  • Capstone: a full data + ML pipeline on Databricks with governance (Unity Catalog), monitoring, and a small GenAI inference service
19 Observability & AIOps — Datadog & Dynatrace Live & Interactive5 hrs · 2 assignments · 1 capstone
Datadog: APM, infrastructure, logs, dashboards, SLOs, Watchdog AI. Dynatrace: Smartscape topology, OneAgent, Davis AI causation, problem analytics, automated remediation hooks.
  • Assignments: (1) Datadog APM + dashboards + SLO for a service; (2) Dynatrace problem-pattern with Davis AI root-cause identification
  • Capstone: AIOps-enabled production monitoring with automated incident detection, RCA, and a remediation runbook
Final certification exam Open-book3 hrs · online · scenario-based
After the 19 tools, you sit a 3-hour online open-book exam. It's scenario-based and tests the entire toolchain end-to-end — not memorisation of flag syntax. See the exam section below for the full format.
Want the full module breakdown?

Get the PDF syllabus with every tool, sub-topic, assignment brief, capstone spec and reading list.

Download syllabus
# your capstone portfolio

One capstone per tool. 19 GitHub-public artefacts you'll show in interviews.

Every tool you learn ends in a graded capstone project. By the end of the program you'll have a full portfolio of production-grade, employer-show-able work — sample capstones below.

CAPSTONE · GITHUB ACTIONS
Full DevSecOps pipeline on PR

Lint, test, build, sign, scan (SAST + DAST + SCA), deploy with OIDC — gated on policy and signed attestations.

GitHub ActionsGHASOIDC
CAPSTONE · TERRAFORM
Multi-env cloud infrastructure

Modular VPC + EKS/AKS + RDS across dev/stg/prod with Terragrunt, drift detection and Terratest coverage.

TerraformAWSAzure
CAPSTONE · ANSIBLE
20-node fleet hardening

Idempotent CIS-aligned roles for users, packages, hardening and monitoring agents — driven by dynamic cloud inventory.

AnsibleVaultCloud Inv
CAPSTONE · DOCKER
Hardened images & signed SBOM

Multi-stage distroless Dockerfile, Cosign signing, generated SBOM, supply-chain gates in CI.

DockerCosignSyft
CAPSTONE · K8S / OPENSHIFT
Microservice on OpenShift via Helm

Helm chart with HPA, Routes, NetworkPolicies and an Operator — fully observable end-to-end.

KubernetesHelmOpenShift
CAPSTONE · GITOPS
Tekton + Argo CD progressive delivery

Tekton build/scan/push, Argo CD app-of-apps for dev/stg/prod, Argo Rollouts canary with auto-rollback on SLO breach.

TektonArgo CDRollouts
CAPSTONE · OBSERVABILITY
OTel + Prometheus + Grafana

End-to-end instrumentation, SLO dashboards, error-budget burn alerts that page only when they should.

OpenTelemetryPrometheusGrafana
CAPSTONE · SECURITY
SAST + DAST + SCA gating pipeline

SonarQube quality gate, OWASP ZAP DAST in CI, Dependency-Check SCA, Threat Dragon model — all blocking merges.

SonarQubeOWASP ZAPDep-Check
CAPSTONE · AIOPS
Datadog + Dynatrace production setup

APM, infrastructure, logs, SLOs in Datadog plus Dynatrace Davis AI for automated root-cause analysis.

DatadogDynatraceAIOps
# the DCP toolchain

25+ production-grade tools, in the order a real DevOps engineer adopts them.

Every tool below is taught as a live demo in a real lab — not slides. You learn how the pieces fit, not just what each does.

Linux & Bash
AWS
Azure
Docker
Python
Git
GitHub
GitHub Advanced Security
GitHub Actions
SonarQube
OWASP ZAP
Dependency-Check
Threat Dragon
Gradle
Ansible
Kubernetes
Helm
OpenShift
Terraform
Tekton
Argo CD
Prometheus
Grafana
OpenTelemetry
ELK Stack
Jaeger
HashiCorp Vault
MS Sentinel
Databricks
Datadog
Dynatrace
# the final exam

3 hours. Online. Open-book. Built to test what you can ship.

The DCP examination is intentionally not a memorisation contest. Open-book, scenario-driven, and proctored online — it tests whether you can solve real production problems with the toolchain you spent five weeks practising.

3 hours
total duration
Online
from anywhere
Open-book
notes, docs, the LMS
Scenario-based
real engineering tasks

What it covers
  • Multi-part production scenarios that span the toolchain end-to-end
  • Pipeline design, IaC, configuration, containers, K8s, observability, security
  • Debugging exercises — given symptoms and logs, find the root cause
  • Written reasoning on trade-offs (e.g. blue/green vs canary, push vs pull GitOps)
Why open-book

In a real on-call shift you look things up. The exam mirrors that. We test the skill that actually matters — composing what you know into a working solution under time pressure. Memorising flag syntax wouldn't make you a better engineer.

Pass → certified.

Clear the exam and you'll be issued the DCP digital certificate within 5 working days, with a verifiable credential ID on our public registry.

  • Two free re-attempt windows if you don't clear first time
  • Detailed feedback report on every section
  • Mock papers + walkthrough during the program
  • Hard copy of the certificate on request
See the credential
# meet your instructor

You're not learning from a content team. You're learning from the person who built it.

RK

Rajesh Kumar

Principal DevOps Engineer and Architect
20 years · DevOps · SRE · Security Early-bird practitioner · MLOps · AIOps Ex-PayPay · SoftwareAG · ServiceNow · Adobe · Intuit · IBM · Accenture 10,000+ engineers trained M.Tech · BITS Pilani 25+ certifications

Rajesh is a working practitioner with 20 years across DevOps, SRE and Security, and an early-bird operator in MLOps and AIOps — he was already running model-deployment and telemetry-driven incident pipelines years before either term became industry vocabulary. He has held principal engineering and architect roles at PayPay, SoftwareAG, ServiceNow (Netherlands), JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has personally trained engineers at JPMorgan Chase, Wells Fargo, Bank of America, Verizon, Nokia, World Bank, GE Healthcare, VMware, Citrix, Oracle, Qualcomm, Ericsson, Splunk, New Relic, Datadog, Airbus, AstraZeneca, Bosch, Mercedes-Benz, Vodafone, Deloitte, EY, Capgemini, Infosys, Cognizant, HCL, Wipro and dozens more. He teaches what he runs — not what he reads.

# your credential

A certificate engineers actually recognise — and recruiters look for.

Every DCP certificate is issued with a unique credential ID, a tamper-proof QR code, and a verification URL on devopsschool.com/certificates. Add it to LinkedIn in one click.

  •   Lifetime verifiable on our public registry
  •   PDF + digital badge (Credly-compatible)
  •   Recognised by hiring partners across 50+ countries
  •   Hard copy shipped on request — order here
Certificate of completion
Jane Engineer
has successfully completed
DevOps Certified Professional (DCP)
Credential ID · DS-DCP-XXXX-XXXX
# what learners say

4.8 / 5 from 2,300+ engineers. Here's what a few of them said.

# pricing

Pick the level of support that fits your goal.

Every plan includes the full curriculum, recorded sessions, and access to our learner community.

Every plan includes 1 year of full DevOpsSchool LMS access.
Not just this one course — the entire LMS: 20+ courses, 50+ tools, videos, quizzes, assignments, and end-to-end projects. Worth ₹40,000+ on its own.
See what's in the LMS
Self-paced video ₹833 / month · billed yearly (₹9,996) All recorded sessions, labs & the full LMS — learn at your own pace.
  • Full 100+ hour recorded curriculum
  • 19 hands-on capstones on your own cloud lab (free-tier setup walkthrough included)
  • 1-year access — recordings, labs & updates
  • 3-hr online open-book exam
  • Industry-recognised certificate on completion
  • Lifetime forum support
  • Full LMS access — 20+ courses & 50+ tools
  • Live instructor classes
  • 1-on-1 mentor sessions
1-on-1 Mentorship ₹99,999 full program Dedicated senior practitioner. Pace, schedule and labs tailored to you.
  • Everything in Live & Interactive
  • Private 1-on-1 instructor (your schedule)
  • Custom curriculum & labs for your stack
  • Resume & LinkedIn review
  • Mock interview & salary negotiation prep
  • Capstone & portfolio code review
  • Priority response from instructor
  • Lifetime forum support
  • Full LMS access — 20+ courses & 50+ tools
Cohort-cancellation refund
If we cancel or postpone a cohort and you decline the rescheduled session, you get 100% refund within 15 days. Refund policy →
Terms & course material
All training material is the IP of DevOpsSchool and for the enrolled learner's personal use only. Terms →
Your data stays with us
We never share your data with third parties. Unsubscribe from communications anytime. Privacy →

Need an invoice for your employer? Request a corporate quote →  ·  Taxes (GST) where applicable are billed in addition to the listed price.

# why us

Why engineers pick DevOpsSchool over the alternatives.

Not slides. Not a 500-seat MOOC. Not a temporary sandbox login. Three things make the difference — then compare us line-by-line.

100% live demo. 0% slides.

Every session is the instructor screen-sharing a real working lab and building the thing in front of you — then you build it yourself. No PowerPoint, no "imagine if...".

You build your own lab.

We guide you through provisioning a free-tier AWS / Azure / GCP environment on day one — the same skill you'll use at work. A temporary sandbox login disappears the day the cohort ends. Your own lab doesn't.

10 learners. By design.

Cohorts are capped at 10 by design. The instructor still knows your name in week 4 — and still has time to debug the weird production thing you brought from work.

What matters YouTube + blogs Generic online course Boot camp DevOpsSchool DCP
Teaching method You piece it together yourself Pre-recorded talking-head + slides Mix of slides & some labs Live demos in a real lab — every session
Cohort size 1 (you, alone) Hundreds to thousands 30–60 per batch 10 by design — instructor knows your name
Lab environment None Throwaway sandbox Shared sandbox login Your own AWS/Azure/GCP, guided setup
Per-tool structure Ad-hoc Inconsistent across modules Theme-based, varies wildly 5 hrs · 2 assignments · 1 capstone for every tool
Final assessment None Multiple-choice quiz Mini-project 3-hour open-book scenario exam
Portfolio at the end What you built solo 1–2 generic toy projects 1 capstone 1 capstone per tool — GitHub-public
Instructor pedigree Mixed (creator-economy) Mixed (often academic) Recent-grad TAs common Rajesh Kumar — 20 yrs, ex-PayPay/ServiceNow/Adobe
Cohort start cadence N/A — pure self-pace Self-paced only Quarterly windows New cohort every 1st of the month
Post-program support None Drip-fed retention emails 30–90 day Slack Lifetime forum + alumni community
LMS bundled No This one course only This program only 1 year full LMS — 20+ courses, 50+ tools
Refund posture N/A Vendor-specific, often none after start Usually none after week 1 100% within 15 days if we cancel
Total cost (full program) Free, slow ₹15K – ₹50K per single course ₹80K – ₹3L+ ₹34,999 · LMS + lifetime forum included

Still on the fence? Talk to an advisor →   — they'll tell you straight if DCP fits your goal.

# frequently asked

Everything you'd ask on a 1-on-1 call.

Don't see your question? Ask us directly →

Do I need prior DevOps or coding experience?
A working knowledge of Linux command line and basic Git is enough. We'll bring you up to speed on everything else from Module 1. About 30% of every cohort enters from a sysadmin / dev / QA background.
What if I miss a live class?
Every session is recorded and shared with the cohort within 24 hours. You retain access to the recordings and lab repositories for the duration of the cohort and a defined access window after it. Specific access duration is confirmed at enrolment.
How does the certificate work? Is it accredited?
We issue a DevOpsSchool-credentialed digital certificate plus a verifiable badge. Each certificate has a unique credential ID and a public verification URL. While it isn't a vendor exam like AWS or CNCF, every cohort includes coaching toward those external exams as a track-add.
Can I pay in instalments / EMI?
Yes — 3, 6, and 12-month plans are available via our payment partners with 0% interest on the 3-month option. We also support employer invoicing.
What's the refund policy?
Once a training cohort is confirmed, the seat is generally non-refundable. The exception is when we cancel or postpone — instructor unavailability, low enrolment, or force majeure — in which case you receive a 100% refund within 15 working days, or you can join the rescheduled cohort. GST and payment-gateway fees are not refunded. Full details on the refund policy page.
Do you give us a cloud sandbox, or do we set one up?
We do it the way you'll do it on the job — you provision your own AWS / Azure / GCP lab, and we walk you through the free-tier setup step-by-step before module 1 starts. Most labs run at zero out-of-pocket. The point is that the skill of owning your infrastructure goes with you forever; a sandbox login disappears the day the cohort ends.
Do you offer corporate or team enrolments?
Yes — private cohorts for teams of 8+ are our most-requested format. We can run them on your schedule, in your VPC, against your internal toolchain. Request a quote.
What time-zones do the live cohorts run in?
Default schedule is IST-friendly, but the weekend cohort works for EST/CET/GMT engineers as well. Recordings cover the rest. We also run a North America-specific cohort every quarter — ask us for the calendar.
Still on the fence?

Talk to an advisor — they'll tell you straight whether this fits your goal.

Talk to advisor
# ready when you are

Reserve your DCP seat — or talk to an advisor first.

Next cohort starts 1st of next month. Only 3 of 10 seats remaining. Drop your details and we'll send the full syllabus + book a free 20-min consult to map this cert to your goal.

  • No spam, no auto-dial bots
  • Syllabus PDF in your inbox in 60 seconds
  • One human reply within 4 working hours
By submitting you agree to be contacted by email, phone, or WhatsApp by DevOpsSchool about this program. We don't share your data with third parties and you can unsubscribe anytime. See privacy · terms · refund.
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