5 career tracks · updated for 2026

Learning Paths

Month-by-month curriculum, real incident labs on live AWS clusters, and cert-aligned outcomes. Pick the path that matches your background — we'll take you the rest of the way.

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1,200+

Students placed

business

200+

Hiring companies

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94%

Completion rate

payments

₹6.2L

Avg. salary increase

Which path is right for you?

Pick your background — we'll highlight the right starting point.

school

Fresher / Student

CS/IT/ECE graduate, no professional cloud experience

Start here

DevOps Engineer path

code

Software Developer

Backend/fullstack dev who wants to own the full pipeline

Start here

DevOps or Platform Engineer

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Ops / Sysadmin

Traditional ops background moving to cloud-native DevOps

Start here

Cloud Architect or SRE path

5 paths
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01

DevOps Engineer

Most Popular

From Linux fundamentals to production pipeline ownership

  • check_circleLinux, Bash scripting, and networking fundamentals
  • check_circleDocker containerisation and multi-stage builds
  • check_circleKubernetes in production — deployments, HPA, RBAC
  • check_circleCI/CD with GitHub Actions, Jenkins, and ArgoCD
  • check_circleMonitoring with Prometheus, Grafana, and Loki
  • check_circleInfrastructure as Code with Terraform
CKACKADTF Associate
schedule5 monthsbar_chartBeginner → Advancedterminal22 labswork₹12–28 LPA

3 live sessions/week · 2 incident labs/week · Weekly office hours · Slack community

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02

Platform Engineer

Hot in 2026

Build the internal developer platforms that scale teams 10×

  • check_circleKubernetes operator patterns and custom controllers
  • check_circleInternal developer portals with Backstage
  • check_circleGitOps workflows with Flux and ArgoCD
  • check_circleMulti-cluster management with Cluster API
  • check_circleDeveloper experience: golden paths, scaffolding
  • check_circleService mesh with Istio and Cilium
CKACKSCKAD
schedule6 monthsbar_chartIntermediate → Advancedterminal20 labswork₹18–40 LPA

3 live sessions/week · 2 labs/week · Monthly architecture reviews · Peer cohort of 12–15 engineers

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03

Site Reliability Engineer

Build and operate highly available services at scale

  • check_circleSLO/SLA/SLI design and error budget management
  • check_circleIncident management, blameless post-mortems, runbooks
  • check_circleDistributed tracing with OpenTelemetry and Jaeger
  • check_circleChaos engineering with Litmus and Chaos Monkey
  • check_circleOn-call playbooks and PagerDuty integration
  • check_circleCapacity planning and performance benchmarking
CKAAWS SysOps
schedule6 monthsbar_chartAdvancedterminal24 labswork₹20–45 LPA

2 live sessions/week · 3 incident labs/week (24×7 cluster) · Bi-weekly game days · On-call simulation

cloud
04

Cloud Architect (AWS/GCP)

Design scalable, secure, cost-optimised cloud infrastructure

  • check_circleAWS core: VPC, IAM, EC2, S3, RDS, EKS, Lambda
  • check_circleGCP: GKE, Cloud Run, BigQuery, Pub/Sub
  • check_circleInfrastructure as Code at enterprise scale
  • check_circleMulti-region and multi-cloud architecture patterns
  • check_circleFinOps — cost optimisation, Reserved Instances, Spot
  • check_circleSecurity and compliance: WAF, GuardDuty, Security Hub
AWS SAA-C03GCP-PCATF Associate
schedule5 monthsbar_chartIntermediate → Advancedterminal16 labswork₹22–50 LPA

3 live sessions/week · Architecture review labs · AWS + GCP sandbox accounts provided · SAA mock exams

psychology
05

AIOps & MLOps Engineer

New 2026

Apply AI/ML to tame complex production systems

  • check_circleAnomaly detection with Isolation Forest and LSTM models
  • check_circleLog parsing, pattern recognition, root-cause clustering
  • check_circleLLM-assisted runbook generation and alert summarisation
  • check_circlePredictive alerting and capacity forecasting
  • check_circleMLflow, Kubeflow, and ML pipelines on Kubernetes
  • check_circleIntegrating AI into existing observability stacks
AWS ML SpecialtyGCP Professional ML Engineer
schedule4 monthsbar_chartIntermediate → Advancedterminal14 labswork₹24–55 LPA

3 live sessions/week · GPU-enabled lab environments · Weekly model review sessions · LLM API credits included

Not sure which path fits you?

Free 30-minute advisor call — tell us your background and goals, we'll recommend the path that gets you to the next salary band fastest.

Every path includes

What you get when you enrol

stream

Live sessions

2–3 instructor-led sessions per week on real clusters. Replays within 2 hours.

terminal

Incident labs

Broken production-like clusters you diagnose and fix. No hints. Time limit.

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Real cloud infra

Labs run on actual AWS EC2/EKS — not simulators. Real APIs, real endpoints.

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Cert vouchers

CKA or AWS SAA exam voucher included in select path bundles.

groups

Peer cohort

Small batches of 20–30 engineers. Solve incidents together, review each other's code.

forum

Slack community

24/7 Slack with instructors, alumni, and hiring managers from 200+ companies.

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Job referrals

Direct referrals to 200+ companies hiring DevOps and cloud roles.

replay

Lifetime access

All recordings, lab writeups, and curriculum updates — forever.

Compare All Paths

PathLevelDurationLabsCertsSalary
DevOps EngineerBeginner → Advanced5 months22
CKACKADTF Associate
₹12–28 LPA
Platform EngineerIntermediate → Advanced6 months20
CKACKSCKAD
₹18–40 LPA
Site Reliability EngineerAdvanced6 months24
CKAAWS SysOps
₹20–45 LPA
Cloud Architect (AWS/GCP)Intermediate → Advanced5 months16
AWS SAA-C03GCP-PCATF Associate
₹22–50 LPA
AIOps & MLOps EngineerIntermediate → Advanced4 months14
AWS ML SpecialtyGCP Professional ML Engineer
₹24–55 LPA

Frequently Asked Questions

Can a fresher enrol in the DevOps Engineer path?

Yes — it starts from Linux fundamentals. You need basic terminal comfort and any programming exposure. We've placed 200+ freshers from non-CS backgrounds in DevOps roles after this path.

How many hours per week does this require?

Plan for 12–15 hours/week: 3 live sessions (1.5 hrs each), 2–3 labs (2 hrs each), and self-study. The pace is intensive by design — companies expect engineers who perform under pressure.

Are the labs on real cloud infrastructure?

Yes. Every lab runs on actual AWS EC2 instances, EKS clusters, or GKE — not sandboxes. Your kubectl commands and terraform applies hit real infrastructure.

What if I miss a live session?

Every session is recorded. Replays available within 2 hours. Lab environments stay open 48 hours so you can complete hands-on work at your own pace.

Do you provide job placement?

We provide direct referrals to 200+ hiring partners. Graduates regularly interview at Swiggy, Zepto, Juspay, Razorpay, Atlassian, and US/EU remote-first companies. Median time from completion to offer: 6 weeks.

Can I switch paths after enrolling?

Within the first 2 weeks — yes, no penalty. After that, case-by-case. We'd rather you ask the right questions before enrolling, which is why we offer a free 30-minute advisor call.

Your next role is 5 months away.
The cluster is waiting.

Every batch is limited to 30 seats so instructors can actually review your Terraform and diagnose your kubectl output. The next cohort starts soon.