“The site is down.”
No alert, no obvious cause. You trace DNS, load balancer, app and database until you can say exactly what failed — and fix it.
NetworkingDebuggingLog analysis
DevOps Engineering · 6-month on-the-job experience
Don't learn DevOps tools. Learn how to engineer systems.
Six months building and operating one evolving application. Every tool arrives only when a real engineering problem demands it — so you learn it the way production forces you to.
or 3 monthly payments — ₹20,000 today
Live, trainer-proctored · One project, six months · Evidence you can show
your system
DockerSame runtime everywhere
KubernetesOrchestration when scale demands it
AWSThe cloud your system runs on
TerraformInfrastructure written as code
LinuxThe ground every system stands on
PythonAutomation and glue code
The philosophy
Problem first. Tool second.
Conventional courses hand you a ladder of tools. Nexverse hands you a broken, growing, demanding system — and the tools become inevitable.
The conventional way
- A fixed syllabus marched top to bottom
- Tools taught in isolation, then forgotten
- Exercises that end at “it compiled”
- A certificate as the only evidence
The Nexverse way
- A business requirement lands — you find the problem inside it
- You research options, defend a recommendation, get approval
- You build it, break it, debug it, deploy it, monitor it
- Every claim backed by repos, pipelines and incident reports
How every problem is worked
- Problem
- Think
- Design
- Build
- Break
- Debug
- Automate
- Deploy
- Scale
- Observe
- Secure
- Improve
…and then the next problem. The loop is the curriculum.
Real problems, not exercises
The tickets you'll actually work
These arrive the way they do at work — vague, urgent and yours. Scroll through a sample of the queue.
The ecosystem
Every tool here is earned by a problem
Hover or focus a tile to see the job each technology does. None of them appear on day one — each is introduced when your system genuinely needs it.
LinuxThe ground every system stands on
PythonAutomation and glue code
GitEvery change, versioned and reviewable
ReactThe product's frontend, built and shipped
FastAPIThe API layer you operate
PostgreSQLRelational data, tuned and protected
DockerSame runtime everywhere
KubernetesOrchestration when scale demands it
TerraformInfrastructure written as code
AnsibleConfiguration, only where it's genuinely needed
AWSThe cloud your system runs on
LinuxThe ground every system stands on
PythonAutomation and glue code
GitEvery change, versioned and reviewable
ReactThe product's frontend, built and shipped
FastAPIThe API layer you operate
PostgreSQLRelational data, tuned and protected
DockerSame runtime everywhere
KubernetesOrchestration when scale demands it
TerraformInfrastructure written as code
AnsibleConfiguration, only where it's genuinely needed
AWSThe cloud your system runs on
S3Object storage with lifecycle and access control
SQSQueues when sync breaks down
LambdaWorkers for background processing
KafkaEvent streaming for many consumers
RedisCaching when latency hurts
GitHub ActionsCI/CD from commit to production
PrometheusMetrics that tell the truth
GrafanaDashboards you'll actually read
OpenTelemetryTraces through every request
NginxRouting, TLS and load at the edge
S3Object storage with lifecycle and access control
SQSQueues when sync breaks down
LambdaWorkers for background processing
KafkaEvent streaming for many consumers
RedisCaching when latency hurts
GitHub ActionsCI/CD from commit to production
PrometheusMetrics that tell the truth
GrafanaDashboards you'll actually read
OpenTelemetryTraces through every request
NginxRouting, TLS and load at the edge
The six-month journey
One application. Thirteen architectural evolutions.
One application you build and operate for six months: a platform that can eventually manage learners, courses, batches, projects, skills, competencies, assessments, labs, evidence and skill progression. It starts deliberately simple and grows only when a real engineering problem forces it to. Each stage appears when a real engineering problem forces it.
Stage 01 / 13
Application foundation
Triggered by: The business needs a working product to learn, operate and improve.
ReactFastAPIPostgreSQL
Application structureAPIsRelational dataLocal development
This is a reference journey, not a fixed sequence of technologies. The real order follows the problems your platform runs into.
Incident training
Incidents are created deliberately.
Something fails in production on purpose — and it's yours to diagnose, fix and write up. You learn the calm, methodical response that separates engineers from tutorial watchers.
Every drill ends with an incident report: evidence, timeline, root cause, prevention. It becomes part of your portfolio.
incident-drill · production-like environment
- 09:41
Alert: p95 latency above threshold
Open the dashboard. What changed in the last hour?
- 09:52
Error rate climbing on /api/reports
Correlate deploy time with the first failing trace.
- 10:05
Database connections saturated
Find the query. Prove it before you touch it.
- 10:20
Rollback or fix-forward?
Decide, document the reasoning, execute.
- 10:31
Recovery confirmed
Write the incident report. Evidence, timeline, prevention.
What you finish with
Evidence, not a certificate PDF.
A real evolving application
GitHub history
Cloud infrastructure
CI/CD pipelines
Testing experience
Deployment experience
Troubleshooting experience
Monitoring experience
Architecture decisions
Technical documentation
Evidence you can show
Portfolio projects
A stronger CV
Real interview stories
At the end you can say, and prove: I built it. I tested it. I deployed it. I monitored it. It failed. I diagnosed it. I fixed it. I documented it.
The engineering ecosystem you'll own
Core engineering
- · Linux
- · Python
- · Git
- · Networking fundamentals
Application runtime
- · React
- · FastAPI
- · PostgreSQL
- · Docker
Infrastructure & cloud
- · AWS
- · S3
- · Terraform
- · Ansible
- · Nginx
Delivery
- · GitHub Actions
- · CI/CD pipelines
- · Registries
- · Rollback
Scale & async
- · Kubernetes
- · SQS
- · Kafka
- · Redis
- · Lambda
Reliability
- · Prometheus
- · Grafana
- · CloudWatch
- · OpenTelemetry
Batch information
Your course path and next step.
Loading batches…
Your trainers
Engineers who run production, teaching you to run it.
Abuharis Salih
Founder & Managing Director
10+ years in DevOps. Builds and runs the infrastructure tracks — Linux, CI/CD, containers, Kubernetes and production troubleshooting.
“Everyone should learn by understanding the core technology behind it — otherwise, don't learn it at all.”
Is this for you?
Built for you if
- You want to be an engineer who owns systems, not a tool collector
- You can commit real hours weekly for six months
- You're comfortable with Python basics (or ready to get there)
- You want evidence — repos, pipelines, incident reports — not a certificate PDF
Not for you if
- You want pre-recorded videos to skim at 2× speed
- You want a tool-by-tool syllabus with no decisions to make
- You can't show up, break things, and explain what you built
Our mission
Learn how to learn. Then learn IT.
Nexverse Learning exists because capable people keep memorising syntax and freezing in front of real systems. This program is the correction: six months of real engineering, with the evidence to prove it.
or 3 monthly payments — ₹20,000 today