Your cart is empty.
Keep shopping
3-Week AI for Cybersecurity Certification
119 students
3-Week AI for Cybersecurity Certification
AI for Cybersecurity Certification: Detect Threats, Secure AI Systems, and Build Smarter Defense Workflows
Created bySchool of AI
Last updated 6/2026
English
What you'll learn
- Understand how artificial intelligence is transforming cybersecurity, including threat detection, SOC automation, and defensive security workflows.
- Identify major cyber threats such as phishing, malware, insider threats, AI-powered attacks, and suspicious user behavior.
- Explain how security teams use logs, network data, user behavior data, and threat intelligence to detect and investigate risks.
- Understand the difference between signature-based detection, anomaly detection, and machine learning-based threat detection.
- Design a simple AI-powered threat detection system using inputs, features, model logic, outputs, and alerting workflows.
- Evaluate security models using concepts such as false positives, false negatives, precision, recall, and detection tradeoffs.
- Recognize key risks in AI systems, including prompt injection, data poisoning, model vulnerabilities, and adversarial attacks.
- Build a high-level AI-powered security workflow that connects detection, investigation, incident response, and remediation.
Explore related topics
Course content
3 sections • 19 lectures • 6h 49m total length
Requirements
- No prior cybersecurity experience is required; this course is designed to be beginner-friendly.
- No prior artificial intelligence or machine learning experience is required.
- Basic comfort using a computer, browsing the internet, and working with digital tools is helpful.
- A general interest in cybersecurity, AI, threat detection, or technology is recommended.
- No advanced math, coding, or data science background is required.
- Learners should be open to understanding concepts such as security logs, network activity, phishing, malware, and AI-powered defense systems.
- Access to a laptop or desktop computer is recommended for reviewing course materials and completing hands-on labs.
- Curiosity and willingness to think like both an attacker and a defender will help learners get the most from the course.
Description
This course contains the use of artificial intelligence.
The 3-Week AI for Cybersecurity Certification is designed for learners who want to understand how artificial intelligence is changing the world of cybersecurity, threat detection, and security operations. As cyberattacks become more advanced, organizations need professionals who can understand both the security landscape and the role of AI-powered defense systems. This course gives you a practical, beginner-friendly introduction to how AI is used to detect threats, analyze security data, automate response workflows, and protect modern digital environments.
In Week 1, you will explore the AI in security landscape and learn why cybersecurity is shifting from traditional manual monitoring to intelligent, data-driven defense. You will study key cyber threats such as phishing, malware, insider threats, and AI-powered attacks. You will also learn how security teams use logs, network data, user behavior, and security analytics to identify suspicious activity. By the end of the first week, you will understand the difference between anomaly detection and signature-based detection, and you will complete a Threat Landscape Analysis Lab to connect real-world threats with AI-based detection strategies.
In Week 2, the course moves into machine learning for threat detection. You will learn the difference between classification models and anomaly detection models, and how they are used to identify unusual activity in networks, devices, and user behavior. You will also explore how AI can assist with malware detection, phishing detection, and pattern recognition across large volumes of security data. This week also covers key evaluation concepts such as false positives, false negatives, precision, recall, and the tradeoffs security teams must make when designing detection systems. The Week 2 lab guides you through designing a simple AI-based threat detection prototype.
In Week 3, you will focus on AI security and defensive AI systems. You will learn how AI systems themselves can be attacked through prompt injection, data poisoning, and other model vulnerabilities. You will then explore how organizations can use AI to fight AI, build automated response pipelines, and improve incident response from detection to remediation. You will also examine the future of autonomous security systems, including both the opportunities and risks of using AI in high-stakes cybersecurity environments.
By the end of this course, you will have a strong foundation in AI cybersecurity, security analytics, SOC automation, threat intelligence, machine learning detection, and AI-powered defense workflows. This certification is ideal for aspiring cybersecurity professionals, IT professionals, AI learners, security analysts, technology leaders, and anyone who wants to understand how AI is reshaping modern cyber defense.
Who this course is for:
- Beginners who want to understand how AI is used in modern cybersecurity without needing advanced technical experience.
- Aspiring cybersecurity professionals who want to learn the basics of threat detection, security analytics, and AI-powered defense.
- IT professionals who want to expand their knowledge of AI-driven security operations, SOC automation, and incident response workflows.
- AI learners who want to explore a practical industry use case for machine learning, anomaly detection, and intelligent automation.
- Security analysts and junior SOC team members who want to better understand how AI can support phishing detection, malware detection, user behavior analysis, and threat intelligence.
- Technology leaders and managers who want a practical overview of how AI is changing cybersecurity strategy, risk management, and defense systems.
- Career changers interested in entering the cybersecurity field with a strong foundation in AI security concepts and modern threat landscapes.
- Anyone curious about how organizations use artificial intelligence to detect, investigate, and respond to cyber threats.