Question 1

What is AI-Native DevOps?

Accepted Answer

AI-Native DevOps means running the everyday DevOps workflow — scripting, cloud provisioning, infrastructure as code, containers, CI/CD, monitoring and security — with an AI engineering assistant built into the process. In this program that assistant is Claude Code, used to analyze repositories, generate and review configurations, and troubleshoot failures alongside real tools like AWS, Terraform, Docker and Kubernetes.

Question 2

What does “Claude for DevOps” cover?

Accepted Answer

You learn to use Claude Code as a DevOps engineering assistant: installing and configuring it, working from the terminal, analyzing repositories, generating Dockerfiles, Terraform, Ansible and pipeline code, investigating failed pods and pipelines, and building advanced workflows with Skills, MCP integrations, connectors, hooks and project instructions — always with safe permissions and command execution.

Question 3

Who is this program for?

Accepted Answer

It is built for engineers who want to work in modern, AI-assisted DevOps and cloud automation — for example developers, system administrators, support and cloud engineers, and DevOps engineers who want to add Claude Code to their workflow.

Question 4

Do I need prior DevOps experience?

Accepted Answer

Comfort with using a computer helps, and any command-line experience is a bonus. The early modules cover Linux, Bash scripting and Git from their fundamentals before moving on to AWS, Terraform, Kubernetes, CI/CD, observability and DevSecOps.

Question 5

When does the batch start and what is the format?

Accepted Answer

The next batch starts in November 2026. It is regular training with 40–50 hours of learning in total across all nine modules. Exact session timings are shared in the enquiry WhatsApp group.

Question 6

How many hours of learning is the program?

Accepted Answer

The program is 40–50 hours of learning, covering 9 modules and 8 hands-on projects — from Claude Code and Linux through AWS, Terraform, Kubernetes, CI/CD, observability and DevSecOps.

Question 7

What will I learn?

Accepted Answer

Nine modules: (1) AI-Native DevOps & Claude Code engineering, (2) Linux & shell scripting automation, (3) AWS cloud & infrastructure, (4) Terraform & Ansible configuration management, (5) Docker & Kubernetes, (6) CI/CD with Jenkins & GitHub Actions, (7) Claude Code Skills, connectors & MCP, (8) observability with Prometheus & Grafana, and (9) DevSecOps & security engineering.

Question 8

Will I build real projects?

Accepted Answer

Yes — eight hands-on projects: a Linux automation toolkit, an AWS cloud infrastructure platform, Terraform + Ansible infrastructure automation, a Kubernetes application platform, an end-to-end CI/CD platform, a reusable Claude Code DevOps toolkit, an AWS & Kubernetes monitoring platform, and a DevSecOps delivery platform. Each one is version-controlled on GitHub and documented.

Question 9

Which tools and technologies are covered?

Accepted Answer

Claude Code (with Skills, MCP and connectors), Linux and Bash, Git and GitHub, AWS (CLI, EC2, VPC, IAM, EBS, S3), Terraform, Ansible, Docker and Docker Compose, Kubernetes with k3d and Helm, Jenkins and GitHub Actions, Prometheus, PromQL and Grafana, plus DevSecOps practices such as IAM, RBAC and pipeline security validation.

Question 10

What is the fee?

Accepted Answer

The program fee is ₹10,000 (regular price ₹29,500).

Question 11

How do I register and pay?

Accepted Answer

Click “Register now”, enter your name, email and WhatsApp number, and you will be taken to our secure Razorpay payment page, where you can pay by UPI, debit or credit card, netbanking or wallet.

Question 12

How can I ask questions before joining?

Accepted Answer

Join the enquiry WhatsApp group from the “Join the Enquiry WhatsApp Group” button on this page, or message or call us on +91 97722 01449. We share batch dates, timings and updates there.