Enterprise IT Training · Built in Public

Train for real IT work before touching real production systems.

ARIA is an AI-mentored enterprise training platform where students work real help desk tickets, troubleshoot live infrastructure, and build the evidence-based documentation skills employers expect.

4 of 5 enterprise domains live · Security/SOC in active build

● Live Lab

NET-OPS-001 · Wrong Access VLAN

Student opens inherited Cisco topology, collects before-state evidence from R1, R2, and SW1, identifies VLAN mismatch, applies scoped fix, submits after-state ping proof.

◐ ARIA Reviewing

ARIA Mentor Response

✓ Before-state evidence found
✓ Root cause statement confirmed
✗ After-state ping evidence missing
→ What does your after-fix ping show?

→ Next Step

Awaiting Instructor Review

Evidence validated. Final note queued for instructor approval before Zammad writeback. Ticket remains open until instructor signs off.

4/5
Domains Live
49
Lab Templates
5
Training Pillars
100%
Built in Public
Five Enterprise Domains

Train across the full IT stack.

Every domain runs on real infrastructure — real Cisco switches, real Active Directory, real Linux containers, and a real help desk ticketing system.

🎫

Help Desk & Ticketing

Live Zammad ticketing with full ticket lifecycle, evidence validation, and instructor-controlled writeback. The workflow mirrors real enterprise IT support.

● Live
🐧

Linux & SysAdmin

Dedicated student Linux containers over Tailscale SSH. 13 labs covering remote access, service triage, log analysis, cron, permissions, and SSH hardening.

● Live
🪪

Identity & IAM

Active Directory on a live jlm.lab domain, GPO labs, and a dedicated Microsoft Entra MFA training tenant. 10 templates covering AD through MFA escalation.

● Live
🌐

Networking & Cisco

EVE-NG with Cisco vIOS and vIOS-L2. Five automated faulted operations-support labs. ARIA validates Cisco IOS command evidence per template. 16 templates.

● Live
🛡️

Security & SOC

Wazuh SIEM, alert triage, log analysis, and structured incident response. Six SOC labs planned for the dedicated future security node.

◑ Building
📋

Evidence-Based Throughout

Every domain requires real command output, real screenshots, and real documentation. Placeholder evidence is blocked. ARIA won't validate what you didn't prove.

AI-Guided Mentorship

Guided troubleshooting — without simply giving answers.

The ARIA Mentor coaches students toward the right evidence and the right questions. It validates what they prove. An instructor reviews and approves everything before any ticket closes.

ARIA Mentor asks →

Which system are you currently inside?
How do you know?
What does your before-state evidence show?
Did the ping fail before the fix?
Which port is wrong — and what's the proof?
What command proves the fix worked?
Show the after-state evidence.
✓ Evidence complete. Final note ready for instructor review.
🎯
Template-aware validation

The Mentor loads the lab template for every ticket ID and checks evidence against required fields — before-state, root cause, fix, after-state, and final note.

🚫
Placeholder evidence is blocked

Students cannot submit "I ran the command and it worked." ARIA blocks unsupported claims and asks for the actual output that proves it.

👨‍🏫
Instructor always in the loop

ARIA queues validated evidence for instructor review. Nothing writes back to Zammad, nothing closes, until the instructor approves. One-time writeback only.

📄
Portfolio-ready documentation

Every lab produces a structured final note — symptom, root cause, fix, verification, and escalation decision — written in professional IT support language.

Why ARIA Is Different

ARIA explains the why — not just the command.

Most training platforms tell you what to type. ARIA teaches you what it means, why it matters, and how to explain it to another technician.

  • Understand the lab architecture before touching anything. Students identify which machine they are on, which is the target, and what network boundary separates them — before running a single command.

  • Distinguish discovery from confirmation from proof. Version detection is not exploitation. A scan finding is not a breach. ARIA teaches students to state exactly what the evidence shows — and what it doesn't.

  • Write documentation the next technician can actually use. Every lab ends with a professional final note: symptom, evidence reviewed, affected system, root cause, action taken, and escalation decision.

  • Scope boundaries enforced, not suggested. Students work only inside their assigned lab environment. ARIA doesn't just warn about out-of-scope systems — it refuses to validate evidence from them.

  • Teardown is part of the lab. Temporary labs require documented teardown evidence. Students prove the environment is gone — not just that the lab ran.

ARIA Vision Statement — Five Pillars and Five Enterprise Domains
Hands-On Labs

Ticket-based. Evidence-based. Portfolio-ready.

ARIA labs don't live in isolation. Every lab is a ticket — created in Zammad, assigned through ARIA, coached by the AI Mentor, reviewed by an instructor, and closed with a written resolution note.

🎫 Ticket-Based Workflow

Labs begin as real Zammad tickets. Students see the assignment in both the Zammad portal and the ARIA student panel — just like an enterprise help desk queue.

📸 Evidence-First Validation

ARIA checks submissions against a required-evidence checklist for each lab. If a section is missing or unsupported, the Mentor asks for it — it doesn't fill it in.

📝 Professional Final Notes

Each lab ends with a structured resolution note written by the student. Instructor approves and it's posted to the ticket. The student's work becomes the official record.

🌐 Real Network Targets

Linux labs run on real Proxmox containers. Cisco labs use EVE-NG with real IOS images. IAM labs touch real Active Directory and a real Entra tenant. No toy environments.

🔐 Tailscale Access

All student access flows through Tailscale — the same zero-trust mesh networking model used in modern remote-first IT environments. Students practice the access model, not just the labs.

📊 Progress Tracking

Instructors see assignment status, evidence submission history, validation results, and audit logs for every student. Full visibility without giving students the answers.

Founder Story

Built by someone who needed it.

ARIA started as a personal problem: how do you build real IT skills before you have real IT access? The answer was to build the environment yourself — and document every step so others could follow.

ARIA was built by Julius Moore — a tech transitioner studying Computer Science at WGU, building in public, and documenting the real enterprise home lab behind the platform. The goal was never just to learn IT. It was to build something that could help the next person transition faster, with more confidence, and with proof of real hands-on work.

The platform bridges three disciplines Julius is personally engaged in: software engineering (the platform), Cisco networking (the EVE-NG labs), and data analytics (the structured evidence from every ticket). It's built in public — every commit, every config, every runbook documented in the open-source repo.

Connect on LinkedIn
ARIA — Custom-built Proxmox server running the training platform
"

One thing I've learned during my transition into IT is how valuable hands-on experience is, and ARIA does a great job of connecting learning with real-world practice. I'm excited to see how the platform continues to grow and help others build their skills.

Sha-Neal Prather
CompTIA A+ Certified · Cybersecurity & Assurance · WGU · RN
ColorStack ARIA Student 01 #HealthcareToTech
"

You're not trying to build it alone. You're building a community, creating opportunities, and bringing others along for the journey. I believe in you, your mission, and your purpose.

"Those who are happiest are those who do the most for others." — Booker T. Washington

Dominique Davis
Tier 2 Technical Support · EMT · Cybersecurity & Assurance · WGU
Rewriting the Code ARIA Student 02 #HealthcareToTech
#WGU #VeteransInTech #HealthcareToTech #BuildingInPublic #CodePath #SWE
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