Skip to content

An AI Academy for the People Who Keep the Lights On (Part 1)

AICademy: six hands-on AI courses and 82 modules built for infrastructure support engineers at GSIs like TCS, HCL and Infosys. The philosophy, the stack, the courses, and why it's different from every AI course online today.

By Ajay Walia · Jul 25, 2026 · 3 min read

Share: LinkedIn
A night-shift infrastructure engineer at a glowing service desk, neon-green data flowing from the ticket queue into an AI core

If you work in infrastructure support at a global systems integrator — TCS, HCL, Infosys, Wipro, Cognizant — you have almost certainly been told to “upskill in AI” this year. You have probably also opened one of the recommended courses, watched forty minutes of someone training a sentiment classifier on movie reviews in a Jupyter notebook, and quietly closed the tab.

Not because it was bad. Because it was for someone else.

There’s a large, capable, strangely underserved population of technologists: the people who run Intune and SCCM estates, work ServiceNow queues, patch Windows and Linux fleets, run transitions, and hold P1 bridges together at 2am. They keep the lights on for the Global 2000 — and when they go looking for AI education, they’re offered either a data science curriculum that assumes Python and linear algebra, or a corporate LMS module that’s mostly a compliance video.

Neither answers the only question that matters on a Monday: what does this change about my job, this week?

So I built the thing I couldn’t find. AICademy is six hands-on AI programmes — 82 modules — for infrastructure and workplace professionals. It’s free, self-paced, and it works offline.

The core idea is that you don’t enrol in a course, you start a job. Open the Service Desk programme and you’re not shown a syllabus — you’re shown your new employer: Northwind Financial, 10,000 staff across Sydney, Singapore and London, running Intune + SCCM, Entra ID, ServiceNow, CrowdStrike, Splunk. You get colleagues with names and personalities — Raj, your shift buddy, “allergic to documentation”; Michael, who grades your escalations mercilessly. Every module opens with Today’s Queue from that environment: real INC numbers, real priorities, real requesters.

Four of the six courses have a persistent world like that. The characters recur. By week six you know the estate the way you know a real account.

Part 1 of this write-up covers the philosophy, the six courses, the anatomy of a module (learn → project → drills → apply-at-work → reflect → test, plus a module-scoped AI tutor), the stack, and an honest comparison against the AI courses already out there.

Part 1 · The Project
Read the full article — philosophy, courses, stack & differentiators →
Illustrated with live screenshots of the platform · opens in a new tab

The academy itself is live at ragentic.netlify.app — no signup needed to browse.

Part 2 is the rebuild log — every upgrade shipped after the first version met real learners: the simulated-workplace overhaul, making the AI tutor module-aware, the gamification pass, the sixth course, and what each change actually fixed.

Ajay Walia

About the Author

Ajay Walia

AI {IT Architect} focusing on local-first multi-agent AI engineering, zero-data-egress systems. Ideator, Creator and Executor on Curious Bit.

Don't stop now

Keep Reading