AI CERTS® certification

AI+ Security Practitioner™

Empowering Cybersecurity with AI

Enquire about this certificationCourse code: AT-2101

AI+ Security Practitioner™ certification badge

Course overview

Review the course before deciding whether it is suitable.

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.

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 5 days (live or virtual)Self-Paced: 40 hours of content
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Prerequisites: Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.

Course focus

Why this certification may be relevant.

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.

Who it may suit

Check the intended audience against your experience and goals.

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.

Course content

Modules supplied by AI CERTs.

Open each module to review the stated topics.

01Module 1: Computing, Linux, and Operating System Foundations

1.1 Computing Fundamentals
1.2 Linux Essentials
1.3 Access Control Concepts

02Module 2: Networking Fundamentals and Traffic Analysis

2.1 Internet and Networking Basics
2.2 TCP/IP and Common Protocols
2.3 Network Security Concepts

03Module 3: Python for Security and Automation

3.1 Python Fundamentals
3.2 Python for Security
3.3 Security Data Analysis

04Module 4: Cybersecurity Foundations and Threat Landscape

4.1 Core Cybersecurity Concepts
4.2 Common Cyber Threats
4.3 Security Frameworks

05Module 5: Cryptography, Authentication & Identity Security

5.1 Cryptography Basics
5.2 Authentication and Identity
5.3 Identity Security Risks

06Module 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

07Module 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

08Module 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

09Module 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

13Optional Module: AI 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

Tools referenced by AI CERTs

Platforms and tools included in the course information.

Scikit-learn

TensorFlow

PyTorch

Kali Linux

Wireshark

Nmap

Wazuh

Splunk

OWASP ZAP

Before you enrol

This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.

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