AI+ Security Practitioner™

Empowering Cybersecurity with AI

$495one-time payment

Overview

About This Certification

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 & Duration

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

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

Assessment

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

Curriculum

Certification Modules

Module 1: Computing, Linux, and Operating System Foundations

1.1 Computing Fundamentals 1.2 Linux Essentials 1.3 Access Control Concepts

Module 2: Networking Fundamentals and Traffic Analysis

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

Module 3: Python for Security and Automation

3.1 Python Fundamentals 3.2 Python for Security 3.3 Security Data Analysis

Module 4: Cybersecurity Foundations and Threat Landscape

4.1 Core Cybersecurity Concepts 4.2 Common Cyber Threats 4.3 Security Frameworks

Module 5: Cryptography, Authentication & Identity Security

5.1 Cryptography Basics 5.2 Authentication and Identity 5.3 Identity Security Risks

Module 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

Module 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

Module 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

Module 9: Offensive Security for AI Systems

9.1 AI Threat Modeling 9.2 AI System Attacks 9.3 AI Red Teaming Concepts

Module 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

Module 11: Governance, Compliance and Ethical AI Security

11.1 Governance and Risk Management 11.2 Compliance and Privacy 11.3 Ethical and Responsible Security

Module 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

Optional 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

AI Tools Covered

Scikit-learnTensorFlowPyTorchKali LinuxWiresharkNmapWazuhSplunkOWASP ZAP

Take the Next Step Toward AI+ Security Practitioner™

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