Stop watching tutorials.
Start shipping infrastructure.
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.
Which one is for you?
I am new to cloud or switching into DevOps
Start with the 45-day flagship
See the syllabus02 · Claude for DevOps · ₹30,000I already work in DevOps or IT
Add Claude to your daily engineering work
See the syllabus03 · Claude AI Mastery · ₹20,000I want AI to speed up my work
Learn Claude properly in 15 days
See the syllabusNot sure? Ask Vijay on WhatsApp and get a straight answer, or try the free tutorials first.
Three tracks. One goal: you can actually do the work.
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.
AWS + DevOps with AI
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.
- AWS foundations Days 1 to 15
- DevOps engineering Days 16 to 44
- Capstone Day 45
- 01IAM and account security✓
- 02Compute: EC2 and Auto Scaling✓
- 03Storage: S3✓
- 04Networking: VPC, Route 53, CloudFront✓
- 05Messaging and monitoring✓
- 06Serverless and events● in progress
- ···+ 12 more modules
An example of the tracker on each course page, where you can tick through the real syllabus.
Claude for DevOps
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.
- Claude foundations Days 1 to 5
- Linux and Git Days 6 to 10
- Containers and IaC Days 11 to 15
- Monitoring, MCP and CI/CD Days 16 to 20
- 01Week 1: Claude foundations✓
- 02Week 2: Linux and Git● in progress
- 03Week 3: Containers and IaC○
- 04Week 4: Monitoring, MCP and CI/CD○
An example of the tracker on each course page, where you can tick through the real syllabus.
Claude AI Mastery
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.
- Foundations Days 1 to 3
- Your AI workspace Days 4 to 6
- Everyday work Days 7 to 9
- Code and integrations Days 10 to 12
- Professional use Days 13 to 15
- 01Foundations✓
- 02Your AI workspace✓
- 03Everyday work● in progress
- 04Code and integrations○
- 05Professional use○
An example of the tracker on each course page, where you can tick through the real syllabus.
Where are you today? See the road ahead.
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.
Not a list of topics. A stack of things you shipped.
Each step of the flagship course produces something real, and each one feeds the next, all the way to a production capstone.
- STEP 01 · Days 1 to 15
A three-tier AWS foundation
VPC, EC2 behind a load balancer, S3, IAM and CloudWatch wired together in the Day 15 lab.
- STEP 02 · Days 21 to 24
A containerized application
A multi-stage Dockerfile, Compose for several services, and a Docker Scout security audit.
- STEP 03 · Days 25 to 28
A CI/CD pipeline
GitHub Actions that build, test and push to ECR, then deploy to AWS with approvals and rollback.
- STEP 04 · Days 29 to 36
Infrastructure as code
Terraform modules with remote state, and Ansible roles for repeatable configuration.
- STEP 05 · Days 37 to 42
A Kubernetes deployment
Workloads on Amazon EKS packaged with Helm, plus a deliberately broken cluster you diagnose.
- STEP 06 · Days 43 to 45
Production capstone
A three-tier microservices app on EKS, observed with Datadog, Prometheus and Grafana.
Learn it. Build it. Break it. Fix it with AI.
- 01
Learn it live
Vijay teaches the concept and demonstrates it on a real system. Ask anything, mid-demo.
- 02
Build it yourself
Every session ends with a hands-on lab you reproduce on your own machine or AWS account.
- 03
Check it with AI
Meet the copilot engineers use for that tool, and see exactly where it gets things wrong.
Illustrative sessions. Click a tab to replay.
Trained the way an engineering team would train you
A lab after every session
You leave each day with something you built, not something you watched.
Live, with a real engineer
Ask mid-demo. Get unstuck on the spot. Choose 1:1 or a small batch.
A capstone you can show
A deployed project and a write-up that gives you something real to talk about.
A syllabus you can read first
Every day is public on each course page. No surprises after you pay.
Honest outcomes
No job guarantees, ever. You get skills, a project and interview practice.
Taught by someone who runs this in production.
Vijay Kanth 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.
In their words
Vijay's 1:1 sessions completely changed how I think about DevOps. The Kubernetes analogies are unlike any tutorial. Got placed at a top MNC within 2 months.
Struggling with Terraform for months. After 3 sessions with Vijay I was writing production-grade modules confidently. Job support after placement sets him apart.
Incredibly thorough interview coaching. Covered every possible question and taught me how to handle pressure. Cleared Senior DevOps at a US product company.
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.
Show 9 more reviews
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.
The live interview support was a game changer. Expert guidance on complex AWS architecture questions in real time, a massive confidence boost.
Cleared AWS Solutions Architect and DevOps Engineer certs back to back. His mock sessions are harder than the actual exam, in the best way!
I was in the US on H1B and needed fast interview prep. Vijay's depth of knowledge made all the difference. Cracked a FAANG-level DevOps round.
Job support package is incredibly valuable. Whenever I face production Kubernetes issues Vijay is just a call away. Like having a senior on demand.
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.
Before you enroll
Which course should I start with?
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.
Are the sessions live?
Yes, they are taught live online. Ask Vijay about recordings and batch dates when you message him, so you get the current answer.
What is the difference between 1:1 and batch?
1:1 follows your pace and goals. A batch learns alongside others on a fixed schedule. Tell Vijay which you prefer when you enroll.
Will I get a job after a course?
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.
Do I get a certificate?
Claude for DevOps and Claude AI Mastery award a certificate of completion after the capstone. Ask Vijay about the AWS + DevOps with AI certificate.
How do I pay, and what about refunds?
Vijay confirms fees, payment options and the refund policy with you in writing before you pay. Nothing is charged through this website.
Not sure where to start?
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.