AI+ Security Practitioner™

AI+ Security Practitioner™

USD$700.00 (GST excl.)

Formerly known as AI+ Security Level 1™

Empowering Cybersecurity with AI

This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled 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 foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.

Prerequisites

Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.

What you’ll learn

Cybersecurity Professionals: Those who want to enhance their security skills by applying AI techniques for threat detection, analysis, and response.
Security Analysts: Those who work with security monitoring, incident investigation, vulnerability assessment, and AI-assisted security operations.
IT Professionals: Those who want to understand how AI can strengthen infrastructure protection, risk management, and security workflows.
Network and System Administrators: Those who manage digital environments and want to use AI tools to improve security monitoring and protection.
Risk and Compliance Professionals: Those who want to explore AI-driven approaches for security governance, compliance management, and risk assessment.
Ethical Hackers and Security Researchers: Those who want to apply AI capabilities to identify vulnerabilities, analyse threats, and improve defensive strategies.
AI and Technology Professionals: Those who want to understand the security challenges of AI systems and implement safer AI solutions.
Security Managers and Decision Makers: Those who want to leverage AI insights to improve cybersecurity strategies, operational efficiency, and organizational resilience.

Why this certification matters

  • Comprehensive Competency Assessment: Validates foundational knowledge of AI-powered cybersecurity concepts.
  • Practical Knowledge Assessment: Demonstrates foundational competency in security concepts and practices.
  • Current Industry Standards: Exam includes scenario-based questions reflecting real-world security situations.
  • Boost Strategic Decision: Making with AI Analytics — Validates readiness for entry-level to intermediate cybersecurity roles.
  • AI-Driven Threat Detection: Validates essential knowledge and competency required for modern security teams.

Tools you’ll use

Scikit-learn
Scikit-learn
TensorFlow
TensorFlow
PyTorch
PyTorch
Kali Linux
Kali Linux
Wireshark
Wireshark
Nmap
Nmap
Wazuh
Wazuh
Splunk
Splunk
OWASP ZAP
OWASP ZAP

Learning Modules

13 modules

1Module 1: Computing, Linux, and Operating System Foundations
1.1 Computing Fundamentals
1.2 Linux Essentials
1.3 Access Control Concepts
2Module 2: Networking Fundamentals and Traffic Analysis
2.1 Internet and Networking Basics
2.2 TCP/IP and Common Protocols
2.3 Network Security Concepts
3Module 3: Python for Security and Automation
3.1 Python Fundamentals
3.2 Python for Security
3.3 Security Data Analysis
4Module 4: Cybersecurity Foundations and Threat Landscape
4.1 Core Cybersecurity Concepts
4.2 Common Cyber Threats
4.3 Security Frameworks
5Module 5: Cryptography, Authentication & Identity Security
5.1 Cryptography Basics
5.2 Authentication and Identity
5.3 Identity Security Risks
6Module 6: Introduction to Artificial Intelligence and Machine Learning
6.1 AI and ML Fundamentals
6.2 Core Machine Learning Concepts
6.3 AI in Cybersecurity
7Module 7: AI Applied to Security Detection and Threat Hunting
7.1 AI-Based Detection Concepts
7.2 Threat Hunting Concepts
7.3 AI in SOC Operations
8Module 8: AI Security, LLM Security and Responsible AI
8.1 LLM and Generative AI Basics
8.2 OWASP LLM Top 10
8.3 Responsible AI and Governance
9Module 9: Offensive Security for AI Systems
9.1 AI Threat Modeling
9.2 AI System Attacks
9.3 AI Red Teaming Concepts
10Module 10: Security Operations, Incident Response and Malware Analysis
10.1 SOC and Incident Response Basics
10.2 Malware and Threat Analysis
10.3 AI-Assisted SOC Operations
11Module 11: Governance, Compliance and Ethical AI Security
11.1 Governance and Risk Management
11.2 Compliance and Privacy
11.3 Ethical and Responsible Security
12Module 12: Capstone Project — AI-Driven Security Operations and Defense
12.1 Phase 1: Reconnaissance and Environmental Review
12.2 Phase 2: Detection and Threat Analysis
12.3 Phase 3: AI Security Assessment
12.4 Phase 4: Incident Response
12.5 Phase 5: Governance and Reporting
13AI Agents for AI+ Security Practitioner
1.1 What Are AI Agents?
1.2 Key Capabilities of AI Agents in Cyber Security
1.3 Applications and Trends for AI Agents in Cyber Security
1.4 How Does an AI Agent Work?
1.5 Core Characteristics of AI Agents
1.6 Types of AI Agents
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

Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.
Delivery

Projects & case studies
Outcome

Industry-recognized credential + hands-on experience

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