- Online
- $475
This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the introductory level 2 micro-course in the AI and Cybersecurity track.
Building on foundational AI cybersecurity knowledge, this proficiency level micro-course empowers IT and digital professionals to implement and manage real-time AI-driven threat detection systems. Develop practical skills in deploying AI security solutions, fine-tuning detection algorithms and responding to AI-generated security alerts effectively within enterprise environments.
This micro-course is designed for IT professionals in managerial, project management, technical and leadership roles.
By the end of this micro-course, you'll be able to:
- Distinguish supervised and unsupervised learning for cybersecurity threat detection.
- Engineer, train, and evaluate AI features and models using real-world network data.
- Configure and correlate alerts from Suricata, Zeek, Wazuh, and the ELK Stack.
- Visualize and interpret threat telemetry in Kibana to support SOC workflows.
- Integrate and audit AI models in operational security environments, emphasizing explainability and resilience.
- Apply forensic, privacy, and traceability best practices to AI-augmented security operations.
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Advanced SIEM platforms (Splunk, IBM QRadar, Microsoft Sentinel)
- Network security tools (Suricata, Zeek/Bro)
- Security information management (Wazuh + ELK Stack)
- AI threat detection engines (Darktrace, Vectra, CrowdStrike)
- Security orchestration and automated response (SOAR) platforms
- Threat intelligence feeds and APIs
- Machine learning model deployment tools for security
- AI forensics and evidence collection platforms
Course outline
- Module 1: AI security fundamentals refresher
- Module 2: AI in threat detection: Phishing, malware, anomaly detection
- Module 3: Tooling deep dive: Suricata, Zeek, Wazuh + ELK Stack
- Module 4: Deploying models in network contexts
- Module 5: AI integration with SOC tools (SIEM/SOAR)
- Module 6: AI vulnerabilities and adversarial machine learning
- Module 7: AI forensics and evidence
- Mini-Capstone project and wrap-up
The course outline may be subject to change as AI evolves and the course is updated to reflect the latest content.
How am I assessed?
You will be assessed on successfully completing weekly activities, including exercises, quizzes, applied case study projects (based on real-life scenarios) and your contributions to discussion posts. These activities are marked using a proficiency scale, and your instructor provides you informal feedback during live online sessions.
While you are not assessed on your attendance of the live online sessions, we encourage you to attend so you can learn and interact with your instructor and other participants. All sessions are recorded in case you miss one.
This micro-course operates on a pass/fail basis. You must achieve an overall grade of 70% or greater to pass and be eligible to earn the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals.
Expected effort
Expect to spend approximately 14 hours per week per course completing all learning activities, including attending live sessions online.
Requisites
Recommend completion of AI and Cybersecurity 1: Introduction or equivalent foundational AI cybersecurity knowledge.
Some cybersecurity knowledge (understanding of common threats, security concepts),, familiarity with network security principles, and general IT infrastructure awareness are required.
Course format
This 100% online part-time program consists of instructor-supported real-time classes combined with independent study.
Each micro-course will consist of a weekly virtual class taught by subject matter experts and a high degree of personal engagement and interactivity. Outside of class, you can access online materials on your own time.
One business day before the micro-course start date, we'll email you step-by-step instructions for accessing your micro-course.