AI for Cybersecurity Analysts

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 triage faster without missing something real?

You will learn:

• Summarizing alerts and evidence

• Removing sensitive data before using AI

• Separating facts from assumptions

You will be able to:

• Prioritize a queue of sample alerts

• Write a clear triage note

• Prove or reject an AI conclusion using evidence

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

The question: How do I find the signal in the logs?

You will learn:

• Using AI to explain log entries

• Building queries for sample log data

• Validating results against the source

You will be able to:

• Find patterns in sample logs

• Build an event timeline

• Reconcile findings with the raw data

You leave with: An event timeline and your first progress review.

The question: How can AI support better defensive detection?

You will learn:

• Mapping activity to the MITRE ATT&CK framework

• Explaining detection rules with AI

• Understanding false positives and false negatives

You will be able to:

• Map sample activity to known techniques

• Review and improve a detection rule

• Test a rule against sample data

You leave with: A reviewed detection rule for your project.

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

You will learn:

• Starting from the evidence, not the theory

• Writing for technical and business readers

• Using AI to find gaps in a report

You will be able to:

• Investigate a sample incident from start to finish

• Write an incident report and summary

• Verify every finding before you report it

You leave with: A complete incident report 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 investigation 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 incident investigation 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.