TRACK: OPS-2026 // SYSTEM LEVEL SIMULATION LAB PROGRAM

Cloud & AIOps Engineer Lab Program

Master Linux, AWS, Docker, Kubernetes, CI/CD and AIOps through hands-on simulations.

12 Weeks
Live Training
6 Months
Lab Access
₹14,999
₹29,999
Jan 5
2026 Batch

7-Day Money-Back Guarantee. No questions asked. (Refund window: Day 8-10)

What you'll learn & master

File Systems, Permissions, User Management, TCP/IP Protocol Stack, DNS Resolution, Ports and Sockets, Firewall Rules (iptables, ufw), Network Diagnostics (ping, traceroute, netstat, tcpdump)
Variables and Parameters, Control Structures (if/else, case), Loops (for, while, until), Functions, Error Handling (trap, exit status), Text Processing (grep, awk, sed), Script Debugging
Processes and Threads, CPU and Memory Usage, Daemons and Background Jobs, systemd Service Management, Process Monitoring Commands (ps, top, htop), Signal Handling
Data Types and Structures, Control Flow, Functions and Modules, Exception Handling, File Operations, JSON Processing, boto3 Library, requests Library, Paramiko Library, Script Design Patterns
Repository Initialization, Commits and Staging, Branching and Merging, Remote Repositories, Pull Requests, Conflict Resolution, Git Workflows
Container Images and Registries, Container Runtime, Docker Compose, Persistent Volumes, Container Networking, PostgreSQL Server Configuration, SQL Queries (SELECT, INSERT, UPDATE, DELETE, JOIN), Connection Management, Database Backup and Restore
Infrastructure as Code Concepts, Terraform Configuration (providers, resources, variables, outputs, modules), Terraform State, Cloud Compute (EC2 equivalents), Object Storage (S3), Virtual Networks (VPC), Identity and Access Management (IAM), Security Groups
Pods, Deployments, ReplicaSets, Services (ClusterIP, NodePort, LoadBalancer), ConfigMaps and Secrets, Manifest Files (YAML), Cluster Networking
Pipeline Stages (build, test, deploy), Workflow Configuration, Triggers and Artifacts, Unit Testing, Integration Testing, pytest Framework, GitHub Actions / Jenkins Syntax
Metrics Collection, Logging and Tracing, Prometheus Architecture, PromQL Queries, Grafana Visualization, Alertmanager Rules
Anomaly Detection, Predictive Maintenance, Infrastructure Security Scanning, Service Level Objectives (SLOs), Service Level Indicators (SLIs), Error Budgets, Incident Management, Post-Incident Review
End-to-End Application Deployment, System Integration, Portfolio Documentation (Live Subdomain)

Course Information

Track Type
System-Level Simulation Lab Program
Teaching Language
English, Telugu (Mixed)
Course Duration
3 to 6 months
(depending upon your assignment completion speed)
Prerequisites
None. We start from zero.

NOT JUST MORE. BETTER.

The difference isn't hours watched — it's hours of real doing.

FeatureSIMULPUSTraditional BootcampVideo-Based Course
Simulation Labs120+ high-fidelity, repeatable20-30 limited labs5-10 basic assignments
Effective Experience500+ hours equivalent (unlimited repeats)100-150 hours50-80 hours
FeedbackReal-time AI + live guidanceWeekly reviewsNone or delayed
Hands-On %100% active doing20-40% practical0-10% (mostly watching)
Job Readiness87% report "ready day 1" (pilot data)~60%~15%

* Job readiness based on internal pilot surveys & industry averages. Your results depend on effort.

PROGRAM VALUE PROPOSITION

What You Walk Away With

More than just knowledge—tangible proof of your expertise and a permanent digital presence in cloud operations.

Industry-Recognized Certificate

Detailed performance report card validated by industry practitioners. Not just participation—proof of mastery across cloud infrastructure, automation, and DevOps practices.

Verified by Simulpus Academy

Your Personal Portfolio Site

A permanent, professionally designed portfolio at yourname.simulpus.org. Showcase your projects, skills, and achievements. Share it with recruiters, add it to your resume, own your digital identity.

Lifetime hosting included

Real-World Experience

Not simulated stories, but genuine hands-on work. Deploy real infrastructure, troubleshoot live issues, build production pipelines. Walk into interviews with confidence—youve already done the job.

Battle-tested skills
SYSTEM_CHECK // FAQ_PROTOCOL

System FAQs

Yes — no prior cloud or DevOps experience needed. We start with Linux basics and networking, building up to advanced AIOps.
Each day: Live class teaches the topic (e.g., Terraform or Kubernetes). Immediately after, you complete a mandatory assignment in the virtual simulation lab — for example, after the IaC class, youll provision a full VPC and EC2 instances using Terraform code.
You can attend the same class again the next day or whenever its scheduled in the ongoing batch.
Admissions are open only before the batch start date. This is a cohort-based program with fixed starts — you join a group for daily live classes and shared progress. New cohorts open regularly.
2-3 hours: live class (45-60 mins) + immediate lab assignment (1-2 hours). The structured daily flow ensures steady progress.
After the Docker class, youll containerize a web app, manage volumes, and debug networking issues in a multi-container setup. After Monitoring, youll set up Prometheus alerts and Grafana dashboards for a simulated production outage.
Yes — each lab assignment must be completed before the next class. This enforces active application of what was taught that day.
Yes — once completed, repeat any lab unlimited times during your 6-month access for deeper mastery.
Your public, recruiter-verifiable profile showing completed labs, precision metrics, independence score, and certificates — real proof of skills like pipeline building and incident response.
Skills match junior roles (₹8–18 LPA). The portfolio + simulation experience gives a strong interview edge. No placement guarantee, but verifiable proof stands out to recruiters.
Yes — completion certificate aligned with AWS Certified DevOps Engineer and Google Professional Cloud DevOps Engineer topics. Verifiable and resume-ready.
Laptop/desktop with modern browser (Chrome recommended) and stable internet (5 Mbps+). Everything runs in-browser.
Live class explanation followed by immediate lab — e.g., after Kubernetes, youll deploy a scaled app and fix a crashing pod; after AIOps, youll detect anomalies and set predictive alerts.
Live classes and guidance in English with clear technical explanations — industry-standard for global cloud roles.
See full Refund Protocol. Quick: 7-day burn-in (complete 7 labs), request Days 8–10, 10% deduction.