Live AWS and DevOps training built around real infrastructure, hands-on labs and production-style projects.
Learn from a working DevOps engineer, not a slide deck.
The VijayDevOps ecosystemLearnBuildReadWatchConnect
Courses, tools, books and videos from one working engineer, all in one place. Pick where you want to start.
Live, hands-on training with a lab after every session and a capstone you can show. Fixed fees, public syllabus.
Products Vijay builds for working engineers. Each one is by VijayDevOps.
A VijayDevOps book about AI-assisted DevOps on AWS.
Available on AmazonFree tutorials and walkthroughs. A good way to see how Vijay teaches before you pay for anything.
Follow the work, join the conversation and see new content as it ships.
1:1 mentoring, interview practice and project reviews. For training, consulting or speaking, message Vijay.
Click a tab to replay a short, illustrative run.
Illustrative sessions, shortened for the page. The courses run these on real systems.
Start with the 45-day flagship
See the syllabus02 · Claude for DevOps · ₹9,999Add Claude to your daily engineering work
See the syllabus03 · Claude AI Mastery · ₹20,000Learn Claude properly in 15 days
See the syllabusNot sure? Ask Vijay on WhatsApp and get a straight answer, or try the free tutorials first.
Start from zero in the cloud, level up the DevOps skills you use every day, or put AI to work in your own job. Each track has a public day-by-day syllabus and a fixed fee.
Learn the core AWS services first, then the DevOps tools that run on top of them: Linux, Git, Docker, CI/CD, Terraform, Ansible, Kubernetes and monitoring. Every session pairs a live lab with the AI copilot engineers use for that tool.
An example of the tracker on each course page, where you can tick through the real syllabus.
A four-week program for working DevOps, SRE and cloud engineers. After a short Claude foundations track, every session applies Claude to real infrastructure work: shell, Git, Docker, Kubernetes, Ansible, Terraform, monitoring and CI/CD.
An example of the tracker on each course page, where you can tick through the real syllabus.
For working professionals, students and team leads. Learn to use Claude for writing, research, data work and automation, with Claude Desktop, Cowork, Claude Code and MCP integrations. No coding background needed.
An example of the tracker on each course page, where you can tick through the real syllabus.
Tap any stage to see what you will learn there. Your marker moves, and so does your road to production.
Your road from here: Day 1 to Day 45, 45 lessons across 9 stages.
Each step of the flagship course produces something real, and each one feeds the next, all the way to a production capstone.
VPC, EC2 behind a load balancer, S3, IAM and CloudWatch wired together in the Day 15 lab.
A multi-stage Dockerfile, Compose for several services, and a Docker Scout security audit.
GitHub Actions that build, test and push to ECR, then deploy to AWS with approvals and rollback.
Terraform modules with remote state, and Ansible roles for repeatable configuration.
Workloads on Amazon EKS packaged with Helm, plus a deliberately broken cluster you diagnose.
A three-tier microservices app on EKS, observed with Datadog, Prometheus and Grafana.
Vijay teaches the concept and demonstrates it on a real system. Ask anything, mid-demo.
Every session ends with a hands-on lab you reproduce on your own machine or AWS account.
Meet the copilot engineers use for that tool, and see exactly where it gets things wrong.
Illustrative sessions. Click a tab to replay.
You leave each day with something you built, not something you watched.
Ask mid-demo. Get unstuck on the spot. Choose 1:1 or a small batch.
A deployed project and a write-up that gives you something real to talk about.
Every day is public on each course page. No surprises after you pay.
No job guarantees, ever. You get skills, a project and interview practice.
Vijaykanth Anugu is a senior DevOps and AWS cloud engineer with 10+ years of experience. He builds the same pipelines, clusters and monitoring he teaches, then turns them into live sessions with real labs.
The courses come from the work. This is what Vijay does day to day, and what the labs and projects are built from.
AWS, Terraform, Docker, CI/CD pipelines with GitHub Actions and Jenkins.
EKS, Helm, GitOps with ArgoCD, and repeatable deployments.
Prometheus, Grafana, Datadog, alerting and incident response.
Using AI coding agents, Amazon Q, Copilot, Claude Code and MCP in real infrastructure work, and knowing where they get it wrong.
n8n workflows, scripts and tooling that remove repetitive operations work.
A hands-on platform where you get dropped into a broken Linux environment, diagnose it from the terminal and prove the fix with automated tests. Built by Vijay, and the same on-call thinking runs through the courses.
Illustrative. Try the free demo at proddown.dev.
Vijay helped during a critical production incident at my new job. His guidance saved hours of downtime. That kind of mentorship is priceless.
From zero Docker knowledge to deploying microservices on EKS in 8 weeks. Vijay's curriculum and real-project approach dramatically accelerated my learning.
Based in the UK, skeptical about online coaching. But Vijay's structured sessions rival any in-person bootcamp. Quality is truly exceptional.
The n8n and AI automation sessions were mind-blowing. I never thought I could build AI agents without deep coding skills. Vijay makes it practical.
Cleared AWS Solutions Architect and DevOps Engineer certs back to back. His mock sessions are harder than the actual exam, in the best way!
Datadog and Prometheus setup always looked daunting. After Vijay's monitoring module I set up full observability for our startup infra in a weekend.
The AI automation module opened a whole new career path. I'm now building n8n workflows for freelance clients, thanks to everything Vijay taught.
GitHub Actions CI/CD kit saved me days of debugging. The README is so clear I had the full pipeline running in 45 minutes. Great value.
I asked the same Kubernetes networking question 3 ways and Vijay explained it differently each time until it clicked. That patience is rare.
New to cloud and DevOps? AWS + DevOps with AI. Already working with Linux, Git and containers? Claude for DevOps. Not in tech, or just want AI to speed up your work? Claude AI Mastery.
Yes, they are taught live online. Ask Vijay about recordings and batch dates when you message him, so you get the current answer.
1:1 follows your pace and goals. A batch learns alongside others on a fixed schedule. Tell Vijay which you prefer when you enroll.
No course can honestly promise that. You leave with hands-on skills, a capstone you can show and interview practice. The rest depends on your effort and the market.
Claude for DevOps and Claude AI Mastery award a certificate of completion after the capstone. Ask Vijay about the AWS + DevOps with AI certificate.
Batch seats are paid on a secure Razorpay page (UPI, cards or netbanking); this site never sees your card details. Questions about refunds? Ask Vijay on WhatsApp before you pay. For 1:1 sessions, Vijay confirms the fee and terms with you in writing before you pay.
Tell Vijay what you do today and where you want to be. You will get a straight answer on which track fits, or whether you need a course at all.