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SRECP · DevOpsSchool Certification

SRE Certified Professional (SRECP)

Run production for a living — SLOs, error budgets, observability, incident response, runbook automation and the toolchain that makes high reliability the default. 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 734 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
NEXT COHORT · 1st of next month
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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.
Reserve my seat — ₹34,999
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 SRECP who ships.

By the end of SRECP, you'll have shipped 23 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 SRECP alumni land: DevOps Engineer · Platform Engineer · SRE · Build & Release Manager · Cloud Automation Lead. Based on alumni reporting, 2024–25.
Start now — ₹34,999
# 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 23 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
Reserve seat — ₹34,999

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
Reserve seat — ₹34,999

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

# curriculum · SRECP

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. Why DevOps without an explicit reliability discipline produces brittle systems, and how SRE closes that gap. Toolchain landscape and how the 22 tools that follow fit together.
  • Assignments: (1) map the value stream of a service you operate today and mark its reliability touchpoints; (2) identify three flow bottlenecks and the SRE practice that solves each
  • Capstone: write a DevOps + reliability adoption proposal for your own org — targets, sequencing, on-call maturity plan
02 SRE Fundamentals — SRE Concepts Video5 hrs · 2 assignments · 1 capstone
SRE done seriously — Google's SRE book in practice. The four golden signals (latency, traffic, errors, saturation), RED & USE methods, SLIs / SLOs / SLAs, error budgets and the policy that goes with them, toil quantification and reduction, blameless postmortems, on-call discipline, capacity planning.
  • Assignments: (1) define SLIs + SLOs + error-budget policy for a real service you operate; (2) write a blameless postmortem from a public incident write-up
  • Capstone: a 12-month SRE maturity roadmap for a target organisation, with quarterly reliability targets and on-call evolution plan
03 Operating System & Scripting — Linux & Bash Scripting Video5 hrs · 2 assignments · 1 capstone
Linux essentials for production debugging — filesystem, processes, networking, systemd, journald, package managers. The production-debugging tool belt: strace, perf, tcpdump, ss, lsof, htop, vmstat, iostat, bpftrace intro. Bash scripting from one-liners to production-grade scripts with structured logging.
  • Assignments: (1) systematic debugging cheat-sheet from a "what's wrong with this server?" exercise; (2) systemd service + journald-friendly structured logging
  • Capstone: idempotent bootstrap script that takes vanilla Linux to a production-ready node with monitoring agents in one command
04 Cloud Platform — AWS Live & Interactive5 hrs · 2 assignments · 1 capstone
IAM, VPC, EC2, S3, RDS, EKS, CloudWatch, X-Ray, ALB/NLB, Route 53 health checks, multi-AZ & multi-region patterns, Auto Scaling, AWS FIS (Fault Injection Simulator). The Well-Architected Reliability Pillar applied. Capacity planning, RTO/RPO selection, chaos in production.
  • Assignments: (1) design a multi-AZ 3-tier app with documented failure modes and recovery paths; (2) run an AWS FIS experiment with measured blast radius
  • Capstone: production-ready multi-AZ AWS environment with multi-region DR, SLO dashboards, and a documented game-day exercise
05 Cloud Platform — Azure Live & Interactive5 hrs · 2 assignments · 1 capstone
Subscriptions, Entra ID, AKS, Application Gateway, Azure Monitor, Log Analytics, Availability Zones, Front Door, Traffic Manager, Azure Chaos Studio. Hub-and-spoke landing zones with reliability targets baked in.
  • Assignments: (1) deploy a multi-zone app on App Service + Azure SQL with managed identities; (2) AKS cluster with Application Gateway + pod-disruption budgets + autoscaling
  • Capstone: hub-and-spoke Azure landing zone with multi-region failover, centralised logging, and a Chaos-Studio game day
06 Container Platform — Docker Video5 hrs · 2 assignments · 1 capstone
BuildKit, multi-stage builds, distroless base images, image hygiene. The SRE cuts: HEALTHCHECK semantics, graceful shutdown, structured stdout/stderr, init systems, resource limits, debugging running containers (exec, nsenter, ephemeral containers).
  • Assignments: (1) take a bloated Dockerfile and cut it to distroless multi-stage with proper HEALTHCHECK + signal handling; (2) debug a stuck container without restarting it
  • Capstone: production-ready container image template — small, healthy, observable, graceful-on-SIGTERM
07 Backend Programming — Python Video5 hrs · 2 assignments · 1 capstone
Python for SREs — virtual envs, packaging, click for CLIs, FastAPI for ops webhooks, pytest. The reliability patterns: structured logging, retries with backoff (tenacity), circuit breakers, idempotency keys, OpenTelemetry SDK instrumentation.
  • Assignments: (1) build a click-based CLI that drains a node safely; (2) FastAPI webhook for alert auto-triage with retries + circuit breaker
  • Capstone: production-grade internal SRE tool — CLI + webhook + tests + container + dashboards — for routine operations
08 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. Reliability touch: required reviewers on prod paths, change-volume metrics, deployment frequency tracking (DORA).
  • Assignments: (1) reusable workflow that lints, tests, deploys with OIDC and emits DORA metrics; (2) GHAS-enabled repo with required-review on prod paths
  • Capstone: a production-ready pipeline from PR → multi-env deploy with full gates, change-volume telemetry, and rollback-on-SLO-breach
09 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 as reliability gates), DAST with OWASP ZAP, SCA with OWASP Dependency-Check, threat modeling intro with Threat Dragon. From an SRE lens: how each gate affects production incident rate and MTTD.
  • Assignments: (1) SonarQube quality gate tuned for reliability metrics (coverage + complexity); (2) ZAP scan automated in CI for a public-facing service
  • Capstone: full security-testing pipeline (SAST + DAST + SCA) plus the dashboards that show its impact on incident rate
10 Configuration & Deployment Management — Ansible Video5 hrs · 2 assignments · 1 capstone
Roles, inventory patterns, Ansible Vault, dynamic inventory, idempotency in anger, callback plugins. SRE focus: configuration drift detection and remediation, rollback playbooks, runbook playbooks for known failure modes.
  • Assignments: (1) drift-detection playbook that diffs prod against IaC; (2) rollback playbook for a misbehaving release with full audit trail
  • Capstone: a runbook library encoded as Ansible playbooks for the five most common production incident classes you face
11 Container Orchestration — Kubernetes, Helm & OpenShift Live & Interactive5 hrs · 2 assignments · 1 capstone
Workloads, Services, Ingress, RBAC, HPA / VPA, Cluster Autoscaler, PodDisruptionBudgets, anti-affinity, NetworkPolicies, multi-zone scheduling. Helm charts & OpenShift Routes / Operators. A production-readiness checklist for any workload.
  • Assignments: (1) Helm chart for a microservice with HPA, PDB, topology-spread + readiness/liveness probes that don't lie; (2) chaos test on the same service with KubeInvaders / Litmus
  • Capstone: production microservice on OpenShift / EKS surviving region-zone-pod-level chaos exercises with documented SLO impact
12 Infrastructure as Code — Terraform Live & Interactive5 hrs · 2 assignments · 1 capstone
Modules, state, workspaces, drift detection, import, Terragrunt, testing with Terratest. The SRE angles: blast-radius isolation across modules, plan-as-PR-comment, drift alarms wired to on-call, multi-region module patterns.
  • Assignments: (1) Terraform module library for a multi-region service with explicit blast-radius docs; (2) drift detection wired to alert + automated remediation PR
  • Capstone: production-grade multi-region infra with CI gating, drift detection, and a documented rollback path for every shared component
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, RBAC, multi-cluster. Argo Rollouts for canary & blue-green with SLO-aware analysis templates that auto-rollback on error-budget burn.
  • Assignments: (1) Tekton pipeline that builds, scans and pushes; (2) Argo Rollouts canary with a Prometheus-backed analysis template
  • Capstone: a fully GitOps-driven multi-env deployment that auto-rolls-back when SLO error-budget burn-rate exceeds threshold
14 Observability & Monitoring — Prometheus, Grafana, OpenTelemetry & Jaeger Live & Interactive5 hrs · 2 assignments · 1 capstone
The flagship SRE module. PromQL, recording & alerting rules, exporters, federation, Thanos / Cortex for long-term storage. OpenTelemetry SDK + Collector for metrics / traces / logs. Jaeger as the tracing backend. SLI / SLO implementation in PromQL, burn-rate alerts à la Google SRE workbook, alert routing that doesn't wake the wrong person.
  • Assignments: (1) instrument a service with OTel (metrics + traces) and prove RED metrics work; (2) implement multi-window multi-burn-rate SLO alerts in PromQL
  • Capstone: end-to-end observability stack for a microservices app — PromQL-defined SLOs, burn-rate alerts, Jaeger-driven trace investigation runbooks
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. SRE focus: structured-log discipline, log-based SLI computation, correlation IDs end-to-end, log volume + cost discipline.
  • Assignments: (1) Logstash pipeline that parses, enriches, and ships structured logs with correlation IDs; (2) Kibana dashboard showing log-derived error rate against an SLO target
  • Capstone: centralised log stack for a microservices environment with ILM-driven cost discipline and SLO-aligned dashboards
16 Application Performance Monitoring — Jaeger Video5 hrs · 2 assignments · 1 capstone
Distributed tracing deep-dive (we touched it in module 14; here we go to expert level). Span semantics, context propagation, sampling strategies, tail-based sampling, Jaeger architecture (Collector, Query, Agent), storage backends, OTel → Jaeger, root-cause analysis from trace waterfalls.
  • Assignments: (1) instrument a multi-service app and capture a latency regression with tail-based sampling; (2) build a Jaeger query / visualisation pack for a real incident pattern
  • Capstone: production-grade Jaeger deployment with sampling policy, retention plan, and an "investigate-from-trace" runbook
17 Secrets Management & SIEM — HashiCorp Vault & Microsoft Sentinel Live & Interactive5 hrs · 2 assignments · 1 capstone
Vault: dynamic credentials, transit encryption, AppRole/OIDC, response wrapping. Microsoft Sentinel: log aggregation, KQL analytics, workbooks, threat hunting, playbooks. SRE focus: credential rotation as a reliability practice, security alerts that integrate with on-call.
  • Assignments: (1) Vault-backed dynamic AWS / DB credentials with TTL + revocation drill; (2) Sentinel rule that correlates auth failures with a production deployment
  • Capstone: end-to-end secrets + SIEM with rotation discipline and incident workflows wired into your on-call system
18 Data Platform · MLOps · DataOps · GenAI — Databricks Live & Interactive5 hrs · 2 assignments · 1 capstone
Databricks Lakehouse, Delta Live Tables, MLflow, Unity Catalog, Model Serving. The SRE angle: data-pipeline SLOs, freshness & quality monitoring, lineage as a debugging tool, alerting on data drift.
  • Assignments: (1) Delta Live Tables pipeline with quality expectations and freshness SLO; (2) Model Serving endpoint with drift detection wired to alerting
  • Capstone: a full data + ML pipeline with SLO dashboards for data freshness, model latency, and quality
19 Observability & AIOps — Datadog & Dynatrace Live & Interactive5 hrs · 2 assignments · 1 capstone
Datadog: APM, infrastructure, logs, dashboards, SLOs, Watchdog AI, Synthetic monitoring. Dynatrace: Smartscape topology, OneAgent, Davis AI root-cause, problem-pattern analytics. AIOps wired into the on-call workflow.
  • Assignments: (1) Datadog APM + SLO + Synthetics for a critical user journey; (2) Dynatrace Davis-AI investigation of a production problem with runbook
  • Capstone: AIOps-enabled production monitoring with automated incident detection and an action-based remediation runbook
20 Web Server — Nginx Video5 hrs · 2 assignments · 1 capstone
The web-server fundamentals every SRE must own. Nginx as reverse proxy & load balancer, upstream health checks, connection pooling, rate limiting (limit_req, limit_conn), TLS termination, HTTP/2 + HTTP/3, gzip / brotli, static + dynamic routing, OpenResty / Lua hooks, performance tuning (worker_processes, sendfile, keepalive).
  • Assignments: (1) Nginx as edge for a 3-service backend with health checks, retries, and rate limits; (2) production performance-tuning a sample workload (before/after benchmarks)
  • Capstone: hardened production Nginx config with TLS, rate limits, observability metrics endpoint, and a documented capacity plan
21 Service Mesh, Data Plane & Control Plane — Envoy & Istio Video5 hrs · 2 assignments · 1 capstone
Envoy as the data plane — xDS APIs, listeners / clusters / routes, filter chains. Istio as the control plane — traffic management (VirtualService, DestinationRule), mTLS, retries & timeouts, circuit breakers, outlier detection, fault injection, observability hooks into Prometheus / Jaeger. The SRE reasons you'd (and wouldn't) adopt a mesh.
  • Assignments: (1) traffic-shifting canary on Istio with circuit breakers + outlier detection; (2) Istio fault-injection chaos experiment with measured SLO impact
  • Capstone: Istio rollout to a multi-service application with mTLS, traffic policies, and observability fully wired in
22 Incident Response Tools — PagerDuty & Opsgenie Video5 hrs · 2 assignments · 1 capstone
The plumbing of being on-call done right. PagerDuty / Opsgenie: services, escalation policies, on-call schedules with overrides, urgency & routing rules, response plays, war-room automation, status pages, post-incident integrations. Healthy on-call: rotation cadence, paging volume budgets, fatigue indicators, postmortem feedback loops.
  • Assignments: (1) full PagerDuty service map for a sample org — services, escalation, schedules, suppression; (2) Opsgenie response play that auto-opens a war room and notifies stakeholders
  • Capstone: end-to-end incident response setup — alert routing, escalation, war-room automation, postmortem template, and a paging-volume health dashboard
23 Production Job Scheduler & Runbook Automation — RunDeck Video5 hrs · 2 assignments · 1 capstone
Self-service operations done safely. RunDeck (Process Automation) — jobs, schedules, ACL policies, node resources, key storage, log filters, webhooks. Encoding runbooks as parameterised jobs with audit trail, granting controlled prod access to non-admins, scheduled production maintenance.
  • Assignments: (1) encode three common runbooks (restart-service, scale-deployment, log-pull) as RunDeck jobs with ACLs; (2) scheduled production maintenance job with safety checks
  • Capstone: a runbook automation portfolio for your service — 10+ parameterised jobs with ACLs, audit log, and a "self-service ops" runbook for your team
Final certification exam Open-book3 hrs · online · scenario-based
After the 23 tools, you sit a 3-hour online open-book exam. It's scenario-based and tests the full SRE toolchain end-to-end — SLO design, incident triage from telemetry, postmortem authoring, runbook execution — 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. 23 GitHub-public artefacts you'll show in interviews.

Every tool you learn ends in a graded capstone. By the end of SRECP you'll have a full portfolio of production-grade reliability work — sample capstones below.

CAPSTONE · SLO ENGINEERING
SLO + burn-rate alerts in PromQL

Multi-window multi-burn-rate alerts for a real service with documented error-budget policy.

PrometheusGrafanaOpenTelemetry
CAPSTONE · OBSERVABILITY
End-to-end RED + USE + traces

OTel instrumentation, Jaeger backend, Grafana SLO dashboards, on-call-friendly alert routing.

OpenTelemetryJaegerGrafana
CAPSTONE · CHAOS / RESILIENCE
Multi-AZ AWS with documented game day

Region failover plan, AWS FIS experiments with measured blast radius, post-game-day write-up.

AWS FISRoute 53EKS
CAPSTONE · KUBERNETES
Microservice that survives chaos

HPA + PDB + topology spread, KubeInvaders / Litmus exercises, SLO impact documented.

KubernetesHelmLitmus
CAPSTONE · GITOPS / DELIVERY
Auto-rollback on error-budget burn

Argo Rollouts canary with Prometheus analysis template that aborts on SLO breach.

Argo RolloutsTektonPrometheus
CAPSTONE · NGINX EDGE
Hardened production Nginx config

TLS, rate limits, upstream health checks, observability endpoint, capacity plan with benchmarks.

NginxOpenRestyHTTP/3
CAPSTONE · SERVICE MESH
Istio rollout with fault injection

VirtualService / DestinationRule traffic policies, mTLS, circuit breakers, chaos experiments.

IstioEnvoyJaeger
CAPSTONE · INCIDENT RESPONSE
PagerDuty + Opsgenie end-to-end

Service map, escalation, schedules, war-room auto-open, postmortem template, paging-volume dashboard.

PagerDutyOpsgenieStatuspage
CAPSTONE · RUNBOOK AUTOMATION
RunDeck runbook portfolio

10+ parameterised RunDeck jobs with ACLs, audit trail, self-service ops runbook for the team.

RunDeckAnsibleSlack
# the SRECP toolchain

30+ production-grade tools, in the order a real SRE adopts them.

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

Linux & Bash
AWS
Azure
Docker
Python
Git
GitHub
GHAS
GitHub Actions
SonarQube
OWASP ZAP
Ansible
Kubernetes
Helm
OpenShift
Terraform
Tekton
Argo CD
Prometheus
Grafana
OpenTelemetry
Jaeger
ELK Stack
HashiCorp Vault
MS Sentinel
Databricks
Datadog
Dynatrace
Nginx
Envoy
Istio
PagerDuty
Opsgenie
RunDeck
# the final exam

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

The SRECP 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 SRECP 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 SRECP 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
Get certified — ₹34,999
Certificate of completion
Jane Engineer
has successfully completed
SRE Certified Professional (SRECP)
Credential ID · DS-SRECP-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
  • 23 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
Get self-paced — ₹833/mo
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
Enrol 1-on-1 — ₹99,999
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
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# 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 SRECP
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 SRECP 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 SRECP 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.

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