AI-Powered SecOps: Security Operations & Incident Response (with Automation and Threat hunting) (Part of SCTP)

Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2026063452
S$1,260
Original: S$4,200
Save S$2,940

About This Course

This course provides the essential knowledge and hands-on skills required for a Security Operations Center (SOC) analyst. It focuses on the fundamentals of security monitoring, log analysis, and the initial stages of the incident response lifecycle. Through practical, scenario-based exercises, learners will gain experience with industry-standard tools and techniques. A dedicated section offers a glimpse into advanced topics, including the adoption of AI and machine learning to enhance threat detection, automate routine tasks, and improve overall response efficiency. This provides a foundational understanding of modern security practices and sparks interest for a future, more in-depth course on advanced security automation and threat hunting. The curriculum is designed to bridge the gap between theoretical knowledge and real-world application, preparing learners for the dynamic challenges of the cybersecurity landscape.

What You'll Learn

At the end of the course, learners will be able to:

Describe the key functions of a SIEM system and perform basic log analysis.

Triage security alerts, distinguish between true and false positives, and escalate incidents appropriately.

Conduct investigation on security incidents according to established procedures.

Gain an introductory understanding of how automation and threat hunting with adoption of AI to enhance security operations.

Entry Requirements

This programme is ideal for mid-career professionals seeking a career switch into cybersecurity from IT, infrastructure, cloud, software, data, or audit/compliance roles.

Applicants should be comfortable with basic computing and networking concepts (Windows/Linux fundamentals, IP/network basics); prior cybersecurity experience is not required.

A Diploma or higher (any discipline) or ≥2 years’ relevant work experience is recommended. Experience with Python/PowerShell or cloud services (AWS/Azure) is a plus, not a prerequisite.
Own laptop (Windows/macOS) required for hands-on activities.
Applicants will be required to undergo a shortlisting process where they must share their résumé and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them forthe course.

Course Details

Duration 40 hours
Language English
Training Commitment Part Time
Total Enrolled 30 students
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