AICademy
The Map Find Your Fit Service Desk SysAdmin IT PM RAG Eng Leadership
Five paths · one academy
AICademy

Choose the path
that fits who you already are.

Focused, hands-on AI programs built for the people who design, lead, and run real infrastructure — from the ticket queue to the datacenter to the boardroom. Five courses. Pick the one that matches your job today.

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Why this academy exists

AI won't replace infrastructure people. It rewrites what they do all day.

Every AICademy course starts from the same conviction: the fastest way to become an AI-augmented professional isn't an abstract "intro to AI" — it's applying AI to the exact work you already own. A ticket queue. A server estate. A transformation programme. A team. So each path maps every concept to a job, and every week ends in something you shipped for real.

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live career paths
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weeks of material across paths
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tied to real work you do
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capstone artifacts you keep
The map

Two tracks, five paths, one direction

There's a natural progression here — the deepest course literally ranks you from L1 Service Desk to Agentic AI Engineer. Most people join at the rung that matches their day job. Builders climb the top track; those who lead delivery and people take the bottom one. Everything points the same way: toward running agentic AI in production, responsibly.

BUILD & RUN ▸ LEAD & DELIVER ▸ 🎫 Service Desk 8 wks · entry 🖥️ SysAdmin 10 wks · mid 🤖 RAG Engineering 30 wks · deep build ▶ ranks you to Agentic AI Engineer 🧭 IT Project Manager 8 wks · delivery 🧭 Leadership 18 wks · no code

Tap any node to jump to that path. You don't have to start at the bottom — join where your job is now.

Find your fit

One question: what do you do all day?

Pick the line that sounds most like your Monday. It'll point you at the right path.

Choose an option above — I'll recommend a path and tell you why.
Path 01 · Build & Run
A service-desk engineer with a headset at a glowing workstation, holographic tickets floating in teal and gold light
⏱ 8 weeks · 5–8 h/wkBeginner → Intermediate
🎫

AI-Augmented Service Desk Professional

Work the queue with AI: ticket lifecycle, documentation, troubleshooting, and automation for L1/L2, EUC, and desktop support engineers — capped by your own AI-Assisted Service Desk Playbook.

For L1/L2 · EUC & Desktop Support · DWP Analysts · Team Leads Starts you at AI-Curious Analyst
What the 8 weeks cover
  • Foundations & Daily Practice wk 1–2 — cross-model bake-offs, safe anonymised AI on real tickets
  • Productivity & Troubleshooting wk 3–4 — knowledge articles, handovers, structured AI diagnosis
  • Automation & Safe AI wk 5–6 — Power Automate / Copilot Studio, your personal AI safety rules
  • Agents & the AI-Native Engineer wk 7–8 — design an agent for your queue, ship the Playbook
Skills you build
🗣️Prompt Craft 🔧Troubleshooting ⚙️Automation 🛡️Safety & Judgment 📚Knowledge Craft
Capstone
You keep
An AI-Assisted Service Desk Playbook: prompt library, decision trees, templates, safety rules — presented to your team with a measured handle-time delta.
Pick this if →you live in a ticket queue and want to be measurably faster and safer by next week — without pretending to become an AI engineer.
Open this course on AICademy →
Path 02 · Build & Run
admin@core ~ powershell > Get-ADUser -Filter * > # AI drafts · you validate ✓ > foreach ($srv in $estate){…} > deploy --safe --dry-run
⏱ 10 weeks · 4–6 h/wkIntermediate
🖥️

AI-Augmented System Administrator

AI as a daily multiplier for real infrastructure work: scripting, troubleshooting, logs, runbooks, cloud reviews, and personal automations — for Windows, Linux, and hybrid estates. Generated fast, validated always.

For SysAdmins (Win/Linux/Hybrid) · Infra Engineers · SysOps Starts you at AI-Curious Admin
What the 10 weeks cover
  • Foundations & Prompt Craft wk 1–2 — tool up, baseline yourself, 15 technical prompt templates
  • Core Daily Craft wk 3–6 — scripts, AI-powered troubleshooting, log analysis, runbooks
  • Cloud & Personal Workflows wk 7–8 — infra/cost/IaC reviews, 2–3 personal automations live
  • Production Discipline & Roadmap wk 9–10 — risk & security, your usage policy, the capstone
Skills you build
⚡Scripting 🔬Diagnostics 🔁Automation 🛡️Reliability 📜Documentation
Capstone
You keep
Your AI-Augmented Practice Playbook + 90-day roadmap — with Week-1 baselines measured against now, presented to your team as real time saved.
Pick this if →you keep servers alive and want AI to generate scripts, read logs, and draft runbooks in seconds — while you keep the validation discipline that stops it breaking prod.
Open this course on AICademy →
Path 03 · Lead & Deliver
CHARTER · WBS · RISK · COMMS · CHANGE · CUTOVER
⏱ 8 weeks · 4–6 h/wkIntermediate
🧭

AI-Augmented IT Project Manager

AI as a delivery co-pilot for infrastructure transformations & transitions: planning, risk, stakeholder comms, change control, reporting, and cutover — for PMs who run the real thing.

For IT/Infra PMs · Transition & Transformation PMs · Delivery Leads Starts you at AI-Curious PM
What the 8 weeks cover
  • Foundations & Prompt Craft wk 1–2 — map your load, 25 tested PM prompt templates
  • Plan & De-Risk wk 3–4 — charter + WBS for a real transformation, risk register + playbook
  • Communicate & Control wk 5–6 — stakeholder pack, scope baseline & creep detection
  • Deliver & Systematise wk 7–8 — status automation, cutover readiness, the capstone system
Skills you build
📐Planning 🎲Risk Craft 🗣️Communication 🎛️Control 🚀Delivery
Capstone
You keep
An AI-Powered Project System + 90-day plan — the full lifecycle (charter → risks → comms → change → cutover) applied to a real programme, with your Week-1 task-time map versus now.
Pick this if →you run infrastructure migrations and transitions and want an AI co-pilot across the lifecycle — so you spend less time on status decks and more on the calls that matter.
Open this course on AICademy →
Path 04 · Build & Run · Flagship
AGENT RETRIEVE ▸ REASON ▸ ACT ▸ OBSERVE
★ Flagship · 30 weeksIntermediate → Advancedcode included
🤖

Agentic AI & RAG Engineering

Design, build, deploy, and govern production-grade AI agents and RAG systems — every concept mapped to the ITSM, endpoint, and datacenter world you already run. Modelled on the IITM Pravartak curriculum.

For SCCM/Intune · ITSM · Hybrid Cloud · Network · Storage · M365 Pace 10–12 h/wk Ranks you L1 Service Desk → Agentic AI Engineer
Six phases across 30 weeks
  • AI Engineering Foundations wk 1–5 — Python, FastAPI, the model landscape, prompting & eval literacy
  • RAG Engineering wk 6–12 — build RAG from scratch, embeddings, ingestion, advanced retrieval, eval
  • Agents and Tools wk 13–18 — tool calling, agent loops, memory, LangGraph, injection defense
  • Multi-Agent Systems & MCP wk 19–24 — coordination, when multi-agent is justified, build an MCP server
  • Production Engineering wk 25–29 — observability, cost, responsible AI, deployment & CI/CD
  • Capstone wk 30 — demo a deployed, observable, evaluated system + architecture review
Seven milestones (MS1–MS7)
Golden dataset + eval harness Working RAG on your corpus Single agent · tools · HITL Multi-agent core, traced Reachable via MCP Deployed & observable
Capstone
You keep
A production-grade agentic/RAG system — deployed, observable, evaluated, reachable via MCP — plus the judgment to defend every architecture decision.
Pick this if →you don't just want to use AI — you want to build and ship the systems, with code, evaluation, and production discipline, mapped onto the infra world you already know.
Open this course on AICademy →
Path 05 · Lead & Deliver
🤖📊✍️🔎⚙️📨 🧭 ORCHESTRATE ▸ ARCHITECT ▸ STEWARD
⏱ 18 weeks · 6–10 h/wkNo coding required
🧭

Agentic AI Leadership · Executive Certificate

Explain, prioritise, build, and govern agentic AI as a leader — 18 weeks from digital teammates to a governed capstone, with weekly Apply-at-Work missions. Modelled on NTU Singapore's Executive Certificate.

For Executives · Managers · Consultants · Product & Ops leaders Starts you at Curious Observer
Five phases across 18 weeks
  • From Generative to Agentic wk 1–3 — digital teammates, the inflection, your first agentic workflow
  • Vibe Coding & Agentic Workflows wk 4–8 — build tools without code, orchestrate, scale pilot → SOP
  • Agentic AI Across the Business wk 9–11 — ops, sales, marketing, HR & finance, with review gates
  • Leading in the Agentic Age wk 12–15 — judgment, the three roles that scale, cognitive capital
  • Responsible Scale & Capstone wk 16–18 — governance, a governed capstone workflow
Leadership capabilities
🎼Orchestration 📐Architecture 🛡️Stewardship ⚖️Judgment 🧠Cognitive Capital
How it works
Every week
An Apply-at-Work mission — hire your first AI teammate, brief your team on the inflection, stand up a multi-agent system — done in your actual job, not a sandbox.
Pick this if →you lead people and decisions, don't intend to hand-code, and need to explain, prioritise, and govern agentic AI as it lands across your organisation.
Open this course on AICademy →
On the roadmap

Two more paths in the works

🧩
Coming soon · 10 wks

Copilot & M365 AI for the Workplace

Microsoft Copilot, Graph API, and Power Platform — workplace automations and governance for a modern digital estate.

🛡️
Coming soon · 6 wks

AI Security & Governance for Enterprises

Prompt-injection defence, data residency, DPDP/GDPR, audit trails, and the AI-questionnaire answers clients demand.

Start where you are

The path doesn't require a leap.
It requires a first week.

Whichever path you pick, the shape is the same: apply AI to the work you already own, ship something real every week, and walk out with an artifact — a playbook, a system, a governed workflow — that proves what changed. That's how an engineer becomes an AI-augmented engineer. Not by watching. By doing.