AI+ Security Expert™

AI+ Security Expert™

USD$700.00 (GST excl.)

Formerly known as AI+ Security Level 2™

Protect and Secure: Leverage Intelligent AI Solutions

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

For more information, see below
Duration
Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam

Overview

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

Prerequisites

Interest in AI technologies, basic computer science knowledge, curiosity to learn, and awareness of AI ethics and data privacy.

What you’ll learn

Cybersecurity Professionals: Professionals who want to stay updated on the latest AI-driven security tools, technologies, and techniques to strengthen cybersecurity practices.  
IT Professionals and System Administrators: Those who want to use AI capabilities to detect, analyze, and respond to security threats more effectively and efficiently.  
Cloud Architects and Engineers: Professionals who want to integrate AI-powered security solutions into cloud architectures and enhance the protection of cloud environments.  
Risk Management Specialists: Those who want to apply AI-driven approaches to identify, assess, and mitigate cybersecurity risks.
Business Leaders and Decision Makers: Professionals who want to understand the role of AI in cybersecurity and make informed decisions about security investments and strategies.
Software Developers: Developers who want to understand AI integration in security tools, applications, and secure software development practices.  
Security Consultants and Advisors: Professionals who want to gain advanced knowledge of AI technologies to provide strategic cybersecurity guidance and recommendations. 

Why this certification matters

  • Comprehensive AI-Cybersecurity Integration: Validates intermediate-level competency in AI-driven security defense mechanisms.
  • Practical Python Programming Skills: Demonstrates competency in detecting and responding to modern cyber threats.
  • Advanced Threat Detection Techniques: Exam includes scenario-based questions reflecting real-world cybersecurity incidents.
  • Cutting-Edge AI Algorithms: Validates readiness for intermediate to senior-level cybersecurity responsibilities.

Tools you’ll use

CrowdStrike Falcon
CrowdStrike Falcon
Darktrace Enterprise
Darktrace Enterprise
Vectra Cognito
Vectra Cognito
SentinelOne Singularity
SentinelOne Singularity
Cylance PROTECT
Cylance PROTECT
IBM QRadar Advisor with Watson
IBM QRadar Advisor with Watson
Exabeam Advanced Analytics
Exabeam Advanced Analytics
Rapid7 InsightIDR
Rapid7 InsightIDR
Cynet 360
Cynet 360
Fortinet FortiAI
Fortinet FortiAI

Learning Modules

10 modules

1Module 1: Introduction to AI and Cybersecurity
You will learn AI and cybersecurity fundamentals, AI-driven threat detection, vulnerability management, ethical considerations, regulatory requirements, and resilient security strategies. 
2Module 2: Python Programming for AI and Cybersecurity Professionals
You will learn Python programming for security automation, data analysis, AI scripting, visualization, and developing cybersecurity tools. 
3Module 3: Applications of Machine Learning in Cybersecurity
You will explore ML-based anomaly detection, behavior analysis, predictive threat identification, data protection, and advanced cybersecurity applications. 
4Module 4: Detection of Email Threats with AI
You will learn AI-powered email security, phishing detection, deep learning models, automation techniques, and email threat response solutions. 
5Module 5: AI Algorithm for Malware Threat Detection
You will learn AI-based malware detection, neural networks, model development, real-time mitigation, and malware analysis techniques. 
6Module 6: AI Infrastructure and Deployment
You will explore AI-based network anomaly detection, model implementation, deployment strategies, and challenges in handling advanced threats. 
7Module 7: User Authentication Security with AI
You will learn AI-driven authentication, biometric recognition, behavioral analysis, adaptive security controls, and emerging authentication trends. 
8Module 8: GAN for Cyber Security
You will explore GAN applications in cybersecurity, including threat simulation, synthetic attack generation, vulnerability detection, and defense improvement. 
9Module 9: Penetration Testing with Artificial Intelligence
You will learn AI-enhanced penetration testing, cyberattack simulation, automated vulnerability identification, and improved security assessment techniques. 
10Module 10: Capstone Project
You will apply AI cybersecurity concepts through real-world projects involving anomaly detection, email security, IoT protection, behavioral biometrics, and threat intelligence. 
Format

Online, self-paced
Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content
Exam

50 questions, 70% passing, 90 minutes, online proctored exam
Included

Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites

Interest in AI technologies, basic computer science knowledge, curiosity to learn, and awareness of AI ethics and data privacy.
Delivery

Projects & case studies
Outcome

Industry-recognized credential + hands-on experience

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