Multi Cloud DevOps + AI Job-Ready Program
Master DevOps across AWS, Azure & GCP from Linux fundamentals to production pipelines on all three clouds.
13 weeks · Starts August 3rd 2026 · Online
One Program. Three Clouds. Real Production Work
Most engineers learn one cloud and compete with thousands holding the same certificate. Companies today run AWS, Azure and GCP together and they pay a premium for engineers who work across all three. This program takes you from Linux fundamentals to complete CI/CD pipelines running natively on all three clouds, in 13 weeks of live classes.
You Don't Watch Pipelines. You Build Them.
Every module ends with a real project pushed to your GitHub including a capstone where 13 tools work together on a live OpenTelemetry application. By the end, recruiters won't see certificates. They'll see proof.
AI Built Into Your Workflow
Modern teams ship with AI. You'll use GitHub Copilot, Python and AI-assisted workflows throughout the program the way production engineers actually work in 2026.
What you'll learn
Master 25+ production tools
Linux, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana and more.
Deploy across three clouds
Build full CI/CD pipelines natively on AWS, Azure and GCP, plus a DigitalOcean project.
Ship 7+ portfolio projects
Every module ends with a real project pushed to your GitHub.
Work the modern, AI-powered way
GitHub Copilot, DeepSeek R1 and Python built into your workflow.
Build a full multi cloud CI/CD architecture
From commit to production, with security and observability baked in.
Become interview-ready
Resume preparation, interview Q&A discussions and a live mock interview.
What you'll build
The exact production workflow you'll build hands-on — from commit to production, with security and observability baked in.
Complete tech stack
Every tool companies actually run in production.
Learn directly from Prashanth
Prashanth
Lead DevOps Architect · 16+ years
16+ years designing CI/CD platforms, Kubernetes clusters and multi cloud infrastructure for enterprise engineering teams. Teaches the way production actually works not the way tutorials pretend it does.
Who this course is for
Freshers and career changers with no prior DevOps experience
QA engineers and developers transitioning into DevOps or SRE roles
Single-cloud engineers who want AWS, Azure and GCP on one resume
Anyone serious about landing a high-CTC DevOps role in 2026
Prerequisites
No prior DevOps experience required. Just bring:
- Basic computer literacy
- Willingness to learn command-line tools
- Commitment to weekday live sessions and hands-on labs
What's included
13 Weeks of Live Classes
Daily live sessions, 7:00–8:30 AM IST learn before work, apply at work.
7+ real-world multi cloud projects
Real pipelines on AWS, Azure and GCP, including a 13-tool OpenTelemetry capstone.
25+ Tool Complete Stack
Linux to Kubernetes to Terraform every tool companies actually run in production.
1-on-1 Mentorship
Doubt-clearing sessions, live assessments and project reviews with working engineers.
Lifetime Recording Access
Miss a session? Every class is recorded and yours forever.
Resume & interview preparation
Interview Q&A and a live mock interview
TheDevOpsCommunity Access
Join 5,000+ engineers workshops, seminars and peer support beyond the cohort.
Syllabus
14 modules · 13 weeks
Linux Basics, Networking & Shell Scripting
Week 1 File system, permissions, users & groups, processes, services, package management, disk & network configuration, cron and SSH, plus shell scripting with variables, conditionals, loops and functions.
Version Control Git, GitHub & GitLab
Week 2 From git init to pull requests, rebasing, cherry-picking, GitHub Actions, Codespaces, organizations, pages and webhooks. Projects: portfolio site on GitHub Pages, and a Netflix clone built with GitHub Copilot.
Build & Quality Maven, Trivy, SonarQube, Nexus, Tomcat
Week 3 POM structure, build lifecycle, vulnerability scanning, quality gates, artifact repositories and app-server deployment. Project: end-to-end build → scan → publish → deploy workflow.
Schedule & enrollment
“Switched from QA to DevOps in just a few months. The mentors were always available!”
Ravi
DevOps Engineer · Capgemini
“Real projects made the difference. Landed my first DevOps job at Infosys!”
Priya
Cloud Engineer · Infosys
- 13 Weeks of Live Classes
- 7+ real-world multi cloud projects
- 25+ Tool Complete Stack
- 1-on-1 Mentorship
- Lifetime Recording Access
- Resume & interview preparation
Next cohort · Starts August 3rd 2026
Secure payment via Razorpay · Seats are limited
We've hosted workshops with 2,500+ engineers
Frequently asked questions
Perfect for freshers, career changers, and professionals transitioning into DevOps. No prior experience needed we start from Linux fundamentals and take you all the way to multi cloud production pipelines.
Multi Cloud DevOps + AI Job-Ready Program
₹24,999 one-time