Learn DevOps from someone who's actually been paged at 3 a.m.

Nexlyn trains B.Tech graduates on real cloud and infrastructure work — under a mentor with 26 years running production Linux systems, not a certificate mill.

First cohort caps at 25 seats. Live, mentor-led, project-based.

incident-sim — prod-payments
$ kubectl get pods -n prod
payments-api-7f9d8 CrashLoopBackOff 14
trainee> checking the application logs first...
mentor> before that — check why it's OOMKilled
$ kubectl describe pod payments-api-7f9d8 | grep -A3 State
Last State: Terminated, Reason: OOMKilled
trainee> so it's a memory limit, not a code bug
mentor> exactly. that's the difference between reading logs and reading systems.

Four years of a CS degree. Zero hours in a terminal.

Most freshers can build a to-do app. Almost none can explain why a pod is crash-looping, read a load balancer's health check logs, or write a Terraform module that won't blow up someone's production account. That gap is exactly what hiring managers screen for — and exactly what this program closes.

What a degree usually gives you

  • Toy projects on a local machine
  • Theoretical OS and networking concepts
  • A certificate with no incident behind it
  • No exposure to how real teams operate

What Nexlyn gives you

  • Real production-style environments
  • Live incident simulations with a mentor
  • A portfolio of infra you actually built and broke
  • Judgment that usually takes years on the job
26
years running Linux & cloud infrastructure

Prior roleVP Technology, IndiaMART
CurrentlyFounder & CEO, Sygitech Solutions
Clients served50+
SectorsFintech, healthcare, travel, e-commerce, edtech
"Certifications tell you someone read the manual. I want to know if they can think clearly at 3 a.m. when something's on fire. That's what I actually train for."

Aniruddh Singh, Founder, Nexlyn & Founder & CEO, Sygitech Solutions

A 12-week arc, built like real infra work

Not a playlist of unrelated tutorials. Each phase builds on the last, the way an actual production stack does.

01

Linux & Networking Foundations

Filesystems, processes, permissions, shell scripting, and how traffic actually moves through a network.

Weeks 1–2
02

Cloud Fundamentals

Core AWS/Azure services, IAM, networking, and cost basics — enough to reason about any cloud, not just memorize one.

Weeks 3–4
03

Containers & Orchestration

Docker from first principles through to running and debugging real Kubernetes clusters.

Weeks 5–6
04

CI/CD & Infrastructure as Code

Pipelines that actually ship safely, and Terraform written the way it's used in production, not in a demo.

Weeks 7–8
05

Monitoring & War-Room Simulations

Observability tooling, then live simulated incidents where you diagnose and fix a breaking system in real time.

Weeks 9–10
06

Capstone & Placement Prep

Ship a full project mirroring a real client environment, then mock interviews built around it.

Weeks 11–12

How it actually runs

Live, small cohorts

Capped at 25 learners so mentorship stays real, not a webinar with a chat window.

Real production-style projects

Environments modeled on actual client infrastructure, not sandbox toys.

War-room simulations

You get paged, the system's broken, and a mentor watches how you think it through.

1:1 mentorship slots

Direct time with a 26-year practitioner, not a rotating pool of teaching assistants.

Placement support

Resume and portfolio built around what you shipped, plus mock interviews on it.

Fast-track to Sygitech

Top performers get a direct interview track with Sygitech's own engineering team.

How you join

One track, built for real outcomes — live, mentor-led, and cohort-based.

The pilot cohort is limited to 25 seats

Leave your details and we'll reach out when applications open, along with the exact dates and pricing.