AI for IT Support & System Admins

The question: Where do I stand, and what can AI do for me today?

You will learn:

• How AI works and why confident answers can be wrong

• What is safe to share with AI

• How to ask clearly: context, goal, format, example

You will be able to:

• Identify your target roles and skill gaps

• Match your experience to real job descriptions

• Write a stronger LinkedIn headline with Claude and ChatGPT, and check it

You leave with: Target role list, skill gap list, and a stronger LinkedIn headline.

The question: How do I reach the root cause faster?

You will learn:

• Describing a problem clearly to AI

• Removing sensitive details from tickets and logs

• Testing one possible cause at a time

You will be able to:

• Triage a practice ticket

• Build a step by step diagnostic plan

• Prove or reject an AI suggested cause

You leave with: A reusable troubleshooting request and your personal checking routine.

The question: How do I make sense of logs I did not write?

You will learn:

• Using AI to explain errors and event logs

• Finding patterns and timelines

• Separating symptoms from causes

You will be able to:

• Summarize a practice log

• Build an incident timeline

• Verify findings against the original log

You leave with: An incident summary and your first progress review.

The question: How do I automate without breaking anything?

You will learn:

• Generating PowerShell or Bash scripts with AI

• Reading a script before you run it

• Testing in a safe practice environment

You will be able to:

• Write an admin script with AI assistance

• Debug a script that fails

• Add logging and safety checks

You leave with: A tested admin script for your project.

The question: What would a hiring manager want to see?

You will learn:

• Starting from the problem, not the tool

• Writing steps anyone can follow

• Using AI to find gaps in a procedure

You will be able to:

• Design a runbook around a recurring issue

• Write the knowledge article for users

• Test every step before you publish it

You leave with: A tested runbook and knowledge article you can show.

The question: How do I make my capabilities obvious to a recruiter?

You will learn:

• Writing a project story: problem, approach, result

• What recruiters look for on a profile and resume

• Keeping your own voice when AI helps you write

You will be able to:

• Write a clear project summary with key insights

• Present your experience clearly on LinkedIn

• Tailor your resume to a real job description

You leave with: A LinkedIn ready profile, a tailored resume, a project summary, and your second progress review.

The question: What exactly should I do every day?

You will learn:

• Choosing relevant people and roles

• Writing posts and messages that are specific and honest

• Following up without being pushy

You will be able to:

• Build a target list of people and roles

• Create posts, responses, and reach outs with the LinkedIn outreach tool

• Track your connections, applications, and follow ups

You leave with: Your first outreach completed and a daily routine you can repeat.

The question: Can I explain my work with confidence?

You will learn:

• Presenting a project in a few clear minutes

• Answering how you used and checked AI

• Planning your next steps after the course

You will be able to:

• Present your IT project with confidence

• Answer recruiter and hiring manager questions

• Complete your Playbook and a 30 day plan

You leave with: A presented project, interview practice, your finished Playbook, and a final progress review.

The question: What can I show an employer?

You will learn:

• Choosing a problem worth solving

• What a finished, defensible project includes

• How to show the value of your work

You will be able to:

• Complete a documented IT automation from start to finish

• Document how you used and checked AI

• Present your result and your Playbook

You leave with: A finished project to show on LinkedIn, discuss with recruiters, and explain in interviews.