Designed for aspiring engineers. Go step-by-step from foundational Linux commands to building production-grade CI/CD pipelines, Docker containers, Kubernetes, and Terraform on your choice of Azure, AWS, or Google Cloud.
High-Demand Industry Skills Taught
Select Your Learning Track
Choose a cloud provider below to view the dedicated 45-day syllabus.
File hierarchy, user privilege models, systemd services, network inspection, and Bash automation.
VNets, subnets, NSGs, Azure Virtual Machines, Microsoft Entra ID (IAM), Azure Key Vault, and Storage accounts.
Writing HCL scripts, Azure provider setup, remote state with locking, modular code, and variables.
Writing clean Dockerfiles, publishing to ACR, Kubernetes Pods/Deployments, and AKS cluster management.
Multi-stage YAML pipelines, automated triggers, environment approvals, and automated Terraform execution.
Trivy scans, Log Analytics workspaces, Azure Monitor alerts, and mock technical interviews.
Capstone Cloud Project
Build an end-to-end multi-tenant application architecture you can proudly showcase to interviewers and recruiters.
You will build the entire cloud environment using Terraform scripts and configure automated CI/CD pipelines to test, build, and deploy containerized microservices and backend databases directly to managed Kubernetes (AKS, EKS, or GKE).
Frequently Asked Questions
Yes! We begin from fundamental Linux commands and computer networking before progressing to cloud services and automation scripting. You do not need prior software engineering experience.
No. You pick a specialized track (Azure, AWS, or GCP) for the 45-day duration to ensure you gain deep, production-level expertise rather than superficial knowledge of all three.
Every single session is recorded in HD and provided alongside GitHub repos, command cheat sheets, and practical lab guides.
Connect directly on WhatsApp to receive the complete syllabus PDF for your preferred cloud, inquire about batch timings, or reserve your seat.
Friendly, direct guidance from the instructor.