Put AI to work on your queue — without losing your edge
Hands-on training for IT and cybersecurity professionals who want to cut triage time, clear ticket backlogs, and write better documentation — using AI tools that fit inside real workflows, real toolchains, and real org policies.
"I built this for the professionals who already know the job — you just need to know exactly where AI earns its place in it."
— G.I 2 A.I FOUNDATION
What you'll learn
What you'll be able to do
- Use AI tools to summarize and prioritize security alerts and log anomalies, reducing manual triage time on routine events.
- Apply AI-assisted workflows to categorize, route, and draft responses to helpdesk tickets — freeing senior staff for complex issues.
- Generate clear, accurate runbooks and SOPs directly from technical work using AI documentation tools.
- Produce readable system health and uptime reports by feeding monitoring data through AI summarization pipelines.
- Evaluate AI-flagged threats critically — knowing when to trust, escalate, or override an AI recommendation.
- Navigate data sensitivity rules and organizational tool-approval processes to deploy AI responsibly within IT and cyber environments.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
0 modules · 0 lessons
AI Fundamentals for IT & Cyber
Builds a practical mental model of how AI already operates inside monitoring, ticketing, and documentation workflows.
- 1.1How AI Works in IT & Cyber EnvironmentsIncluded
- 1.2The AI Landscape: Tools Your Team Already UsesIncluded
- 1.3Where AI Helps vs. Where Humans Must LeadIncluded
- 1.4Setting Up Your AI-Assisted WorkflowIncluded
AI-Assisted Threat & Log Analysis
Teaches practitioners to use AI to summarize security alerts, surface anomalies, and speed up initial log review without skipping human verification.
- 2.1Feeding Logs to AI: Formats, Inputs, and LimitationsIncluded
- 2.2Prompting AI to Summarize Alerts and Flag AnomaliesIncluded
- 2.3Correlating AI Output with SIEM and EDR DataIncluded
- 2.4Hands-On Lab: Triage a Simulated Alert Queue with AIIncluded
AI for Ticket Triage & Helpdesk Support
Covers AI-assisted categorization, priority routing, and response drafting so helpdesk staff resolve routine tickets faster.
- 3.1Auto-Categorizing and Prioritizing Incoming TicketsIncluded
- 3.2Drafting First-Response and Resolution Messages with AIIncluded
- 3.3Routing Edge Cases and Escalations CorrectlyIncluded
- 3.4Hands-On Lab: Build an AI Triage Workflow for a Ticket BacklogIncluded
AI for Documentation & Knowledge Base Building
Shows IT and cyber staff how to convert technical work into polished runbooks, SOPs, and KB articles using AI documentation tools.
- 4.1Capturing Technical Work as AI-Ready InputIncluded
- 4.2Generating Runbooks and SOPs with AIIncluded
- 4.3Editing and Validating AI-Generated DocumentationIncluded
- 4.4Building and Maintaining a Living Knowledge BaseIncluded
AI for System Monitoring & Reporting
Trains practitioners to pipe monitoring data through AI summarization to produce clear, stakeholder-ready system health and uptime reports.
- 5.1Exporting and Structuring Monitoring Data for AI InputIncluded
- 5.2Prompting AI to Summarize System Health and Uptime TrendsIncluded
- 5.3Building Repeatable AI Reporting PipelinesIncluded
- 5.4Hands-On Lab: Generate a System Health Report from Real Monitoring DataIncluded
Responsible AI in Cyber/IT
Equips practitioners to use AI safely by covering data sensitivity rules, critical evaluation of AI-flagged threats, and organizational tool-approval processes.
- 6.1Data Sensitivity and What You Must Never Feed an AI ToolIncluded
- 6.2Evaluating AI-Flagged Threats: Trust, Escalate, or OverrideIncluded
- 6.3Navigating Tool Approval and Acceptable Use PoliciesIncluded
- 6.4Recognizing AI Errors, Hallucinations, and Bias in Cyber ContextsIncluded
- 6.5Building Your Personal AI Use Policy for the WorkplaceIncluded
Who it's for
Is this you?
Helpdesk technicians
Ready to stop manually triaging every ticket and build AI-assisted workflows that handle categorization, first responses, and routing without losing the human check.
SOC analysts
Wants to cut down manual alert review time by feeding log data to AI intelligently — and knows how to validate output against SIEM and EDR data before acting.
Sysadmins
Needs to turn raw monitoring exports into readable system health reports faster, and wants repeatable AI pipelines that don't require starting from scratch every time.
IT support specialists
Looking for practical AI workflows that reduce the grind on routine support tasks and free up time for the complex issues that actually need human expertise.
Cybersecurity practitioners
Wants to evaluate AI-flagged threats critically and confidently — knowing when to trust, escalate, or override — without being caught flat-footed by a hallucination.
IT team leads & managers
Responsible for navigating tool approvals and acceptable use policies, and needs to build a team-wide AI approach that is both effective and organizationally defensible.
Questions
Frequently asked
Your teacher
A note from your teacher
G.I 2 A.I FOUNDATION
If you work in IT or cybersecurity, you've probably already had a colleague or a manager ask, "Are you using AI yet?" — and maybe you've felt the pressure to have a better answer than "sort of."
Here's the honest version of where most practitioners are right now: you've tried a few AI tools, you've seen them produce something impressive and something completely wrong in the same session, and you're not sure how to fit any of it into a workflow that already has real stakes attached to it. Missed alerts have consequences. Bad documentation causes outages. Misdirected tickets waste everyone's time. You can't afford to just experiment your way through this on production systems.
That's why I built this school the way I did. Not as an AI hype deck, and not as a generic "prompt engineering" course that was written for marketers and lightly reskinned. Every module is anchored in something you actually do — triaging a log queue, handling a ticket backlog, writing a runbook, pulling a system health report, deciding whether an alert is worth escalating. The AI piece is the how-to layer on top of work you already understand.
What I want you to walk away with is confidence that's grounded in critical thinking, not blind trust. That means learning how to prompt AI tools to produce useful output from log data and monitoring exports, but also learning exactly when the output is wrong, incomplete, or dangerously confident about something it shouldn't be. The section on responsible AI use isn't a compliance checkbox — it's the section that keeps you from becoming the person who fed sensitive infrastructure data into a public tool because no one told them not to.
You don't need to become an AI specialist. You need to be the IT or cyber professional who uses AI deliberately, safely, and effectively — and can explain to your team why and how. That's what this school trains you to do. Come in, work through the labs, build the workflows, and leave with something you can use this week.
I'll see you inside.
— G.I 2 A.I FOUNDATION
Start your journey today
Get instant access — learn at your own pace with an AI coach in your corner.
$99 · 30 days access
One-time payment · no subscription
Secure checkout · Instant access
- 6 modules, 25 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- 30 days of full access