Course Description

The AI for Cybersecurity Training equips participants with the knowledge and strategic understanding of how artificial intelligence and machine learning are applied to detect, prevent, and respond to cyber threats. The program explores AI-driven security analytics, threat intelligence, anomaly detection, and automated response while addressing governance, ethics, and operational risks in modern cyber defense environments.

Course Objectives

Upon completion of this course, participants will be able to:

  • Understand AI and machine learning concepts relevant to cybersecurity.
  • Identify use cases for AI in threat detection, prevention, and response.
  • Apply AI-driven approaches to malware, intrusion, and anomaly detection.
  • Evaluate AI tools and platforms used in modern security operations.
  • Understand limitations, risks, and ethical considerations of AI in cybersecurity.
  • Align AI-enabled cybersecurity initiatives with organizational security strategy.

Who Should Attend?

This course is designed for cybersecurity professionals, IT security teams, SOC analysts, IT managers, risk professionals, and leaders responsible for cyber defense and digital resilience.

Course Agenda

Registration

Welcome & Introduction

Pre-Test

Day 1: Foundations of AI & Cybersecurity

  • Overview of cybersecurity threat landscape
  • Introduction to AI, machine learning, and data analytics for security
  • AI vs. traditional security tools
  • Cybersecurity data sources (logs, network traffic, endpoints)
  • Use cases of AI across cyber defense functions

Day 2: AI for Threat Detection & Monitoring

  • AI-driven intrusion detection systems (IDS)
  • Anomaly detection and behavioral analytics
  • Malware detection using machine learning concepts
  • Network traffic analysis and pattern recognition
  • Reducing false positives with AI

Day 3: AI in Incident Response & SOC Operations

  • AI-enabled Security Operations Center (SOC)​
  • Automated alert correlation and prioritization
  • AI for incident response and containment
  • Security orchestration, automation, and response (SOAR) concepts
  • Human-AI collaboration in cyber defense

Day 4: Advanced Use Cases & Emerging Threats

  • AI for phishing and social engineering detection​
  • User and Entity Behavior Analytics (UEBA)
  • AI in vulnerability management and risk scoring
  • Adversarial AI and AI-powered cyber attacks
  • Securing AI systems and models

Day 5: Governance, Ethics & Strategic Implementation

  • AI governance and cybersecurity compliance
  • Data privacy and regulatory considerations
  • Ethical use of AI in security decision-making
  • Building an AI-enabled cybersecurity roadmap
  • Measuring effectiveness and ROI of AI security initiatives

Post Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.