Cybersecurity is evolving—and artificial intelligence is at the center of the transformation. This course offers a comprehensive, practical introduction to how AI is used in defending and attacking modern digital systems.
From threat detection and behavioral analytics to adversarial AI and smart malware, learners will explore both the defensive and offensive dimensions of cybersecurity powered by AI. The course blends theory with hands-on work, including a basic anomaly detector built in Python using real-world datasets.
Designed for students, IT professionals, analysts, and AI enthusiasts, this course equips you with the knowledge to understand, evaluate, and apply AI techniques in modern cybersecurity environments.
Curriculum
- 2 Sections
- 8 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Foundations of Cybersecurity and Artificial Intelligence6
- 1.1Module 1: Introduction to Cybersecurity30 Minutes
- 1.2Module 2: Basics of Artificial Intelligence30 Minutes
- 1.3Module 3: AI in Cybersecurity – Use Cases30 Minutes
- 1.4Module 4: Offensive AI – Risks and Challenges30 Minutes
- 1.5Module 5: Defensive AI – Designing Smart Systems30 Minutes
- 1.6Course Conclusion & Project Summary30 Minutes
- AssignmentTo complete the course, please submit the assignments below2
This course is ideal for cybersecurity students, IT professionals, AI enthusiasts, and analysts who want to understand how AI intersects with security.
Some Python experience is helpful (especially for Module 3), but basic examples and support are provided to help you follow along.
It’s a balanced mix of theory and hands-on application, with a working project and real-world use cases.
You'll work with Python, Jupyter notebooks, and open-source datasets. No special software is required—everything runs in-browser or locally.
Yes! Students who complete all modules will receive a certificate of completion.
Features
- Complete introduction to cybersecurity foundations + AI fundamentals
- Hands-on Python exercise: build an AI-based anomaly detector using real network data
- Real-world examples of AI-powered defense tools and AI-driven cyber threats
- Balanced coverage of defensive and offensive cybersecurity applications
- Modular learning—great for beginners and intermediate learners alike
- Datasets, Jupyter notebooks, and walkthroughs included