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AIOps Capstone Projects and Interview Preparation

Learn to prove AIOps skills with three portfolio projects: anomaly detection, a RAG ops assistant, and a safe investigation agent, plus interview prep.

~2.5 hours
10 Topics
Hands-on Scenarios

What You'll Learn

Understanding What the Capstone Proves

Where acme-shop and your AIOps skills stand The capstone turns the skills you built across this roadmap into three pieces of evidence you can show an...

Building Project 1: Log and Metric Anomaly Detection

Goal and the modules it draws on Project 1 proves you can stream operational data and catch an incident early, with evidence about which detection...

Building Project 2: RAG-Powered Ops Assistant

Goal and the modules it draws on Project 2 proves you can give an on-call engineer a correct, cited answer from your own runbooks, and that you know...

Building Project 3: Incident Investigation Agent with Safe Remediation

Goal and the modules it draws on Project 3 proves you can let an AI agent do real incident work while keeping a human in control of every change.

Running the Manual Incident Baseline Lab

Measuring the human-only MTTR first You cannot claim the agent improved recovery time until you have measured recovery without it, so this lab times...

Presenting Your Capstone to a Hiring Manager

Writing a README that answers questions before they are asked A good README states the problem, the result, how to reproduce it, and what does not...

Skills You'll Master

AIOPSCAPSTONEPORTFOLIOCAREER-PREPAI-AGENTS

Curriculum Index10 topics

1

Understanding What the Capstone Proves

Where acme-shop and your AIOps skills stand The capstone turns the skills you built across this roadmap into three...

2

Building Project 1: Log and Metric Anomaly Detection

Goal and the modules it draws on Project 1 proves you can stream operational data and catch an incident early, with...

3

Building Project 2: RAG-Powered Ops Assistant

Goal and the modules it draws on Project 2 proves you can give an on-call engineer a correct, cited answer from your...

4

Building Project 3: Incident Investigation Agent with Safe Remediation

Goal and the modules it draws on Project 3 proves you can let an AI agent do real incident work while keeping a human...

5

Running the Manual Incident Baseline Lab

Measuring the human-only MTTR first You cannot claim the agent improved recovery time until you have measured recovery...

6

Presenting Your Capstone to a Hiring Manager

Writing a README that answers questions before they are asked A good README states the problem, the result, how to...

7

Preparing for AIOps Interview Rounds and Scenario Questions

Knowing the usual interview rounds Interviews for AIOps, SRE, and platform roles at Indian product companies and GCCs...

8

Designing an AIOps Pipeline for 500 Services

Clarifying requirements first A good design answer starts by asking questions, because the right pipeline depends on...

9

Designing a Safe AI On-Call Assistant

Defining what the assistant may do A safe on-call assistant reads freely, proposes actions, and acts only through a...

10

Checking You Are Job-Ready

Running the final checklist You are ready when every item below is true and backed by something a stranger can open.

Career Impact

Roles that use the skills in this module.

  • AI Engineer

  • MLOps Engineer

  • Platform Engineer

See how this is asked in interviews

Practice on the Coding Sheet

Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.

Open the Coding Sheet

Frequently Asked Questions

Put the three projects in this module: a streaming anomaly detector with a measured comparison of two methods, a RAG assistant with a scored answer key, and an investigation agent with an approval gate and an audit log. Each one shows a different skill, and each has numbers you can quote. A hiring manager trusts a measured result far more than a list of tools.

No. Everything runs on a laptop with a kind cluster, Docker Compose, and a free local model through Ollama. If you switch to a hosted model, estimate the cost first and keep the free path working so anyone can reproduce your results.

Measure the same incident by hand several times, then measure it with the agent several times, and report both medians. Show the time the agent spent waiting for human approval separately, because that wait is deliberate. Never present one lucky run as the result.

Yes, the three projects form the capstone, and together they cover detection, investigation, and safe remediation. If time is short, finish each one at the acceptance criteria and skip extras. Three small projects that meet their criteria beat one large project and two sketches.