Course 8 of 12

AI in Cybersecurity

AI-driven threats, Deepfakes, AI for detection, and more.

Yiga AI

Intermediate en

Intermediate · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
16
Hands-on exercises
16
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Cybersecurity Foundations

Networking Essentials

Linux for Security

Security Operations & SIEM

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 5 lessons · 3 hoursAI-driven threatsModule 1 of 4 in AI in Cybersecurity.
  1. Overview and set-up

    Overview and set-up — AI-driven threats in AI in Cybersecurity.

    Lesson

    40 min
  2. Core concepts

    Core concepts — AI-driven threats in AI in Cybersecurity.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — AI-driven threats in AI in Cybersecurity.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — AI-driven threats in AI in Cybersecurity.

    Lesson · Locked

    40 min
  5. Module quiz: AI-driven threats

    Check what you learned in AI-driven threats before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedDeepfakesModule 2 of 4 in AI in Cybersecurity.
  1. Overview and set-up

    Overview and set-up — Deepfakes in AI in Cybersecurity.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — Deepfakes in AI in Cybersecurity.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Deepfakes in AI in Cybersecurity.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Deepfakes in AI in Cybersecurity.

    Lesson · Locked

    40 min
  5. Module quiz: Deepfakes

    Check what you learned in Deepfakes before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedAI for detectionModule 3 of 4 in AI in Cybersecurity.
  1. Overview and set-up

    Overview and set-up — AI for detection in AI in Cybersecurity.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — AI for detection in AI in Cybersecurity.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — AI for detection in AI in Cybersecurity.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — AI for detection in AI in Cybersecurity.

    Lesson · Locked

    40 min
  5. Module quiz: AI for detection

    Check what you learned in AI for detection before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedDefending LLM appsModule 4 of 4 in AI in Cybersecurity.
  1. Overview and set-up

    Overview and set-up — Defending LLM apps in AI in Cybersecurity.

    Lesson · Locked

    40 min
  2. Core concepts

    Core concepts — Defending LLM apps in AI in Cybersecurity.

    Lesson · Locked

    40 min
  3. Worked example

    Worked example — Defending LLM apps in AI in Cybersecurity.

    Lesson · Locked

    40 min
  4. Hands-on practice

    Hands-on practice — Defending LLM apps in AI in Cybersecurity.

    Lesson · Locked

    40 min
  5. Module quiz: Defending LLM apps

    Check what you learned in Defending LLM apps before moving on.

    Quiz · Locked

    20 min
  6. Graded project: AI in Cybersecurity

    Apply everything from AI in Cybersecurity in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: AI in Cybersecurity to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
Joel N., Career readiness

Your instructor

Joel N.

Career readiness

Connects technical learning to portfolios, interviews and confident career moves.

Amina Hassan, Yiga learner

“The track removed the uncertainty. I knew what to learn next and what to show employers.”

Amina Hassan

Career switcher, Dar es Salaam

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