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    • AI+ Security Practitioner™

    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.
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    AI+ Security Practitioner™
    Price: USD $495.00

    At a Glance: Course + Exam Overview

    Category AI Security
    AI Technical
    Program Name AI+ Security Practitioner™
    Prerequisites
      • Cybersecurity Basics: Understand fundamental security concepts and practices
      • Network Knowledge: Know basic networking principles and communication protocols
      • Threat Awareness: Recognize common cyber threats and vulnerabilities
      • AI Fundamentals: Understand basic AI concepts and applications
      • Security Tools Familiarity: Experience with basic security tools and techniques
    Exam Format 90 minutes

    What You'll Learn

    Certification Modules

    Module 1: Computing, Linux, and Operating System Foundations

    1. 1.1 Computing Fundamentals
    2. 1.2 Linux Essentials
    3. 1.3 Access Control Concepts

    Module 2: Networking Fundamentals and Traffic Analysis

    1. 2.1 Internet and Networking Basics
    2. 2.2 TCP/IP and Common Protocols
    3. 2.3 Network Security Concepts

    Module 3: Python for Security and Automation

    1. 3.1 Python Fundamentals
    2. 3.2 Python for Security
    3. 3.3 Security Data Analysis

    Module 4: Cybersecurity Foundations and Threat Landscape

    1. 4.1 Core Cybersecurity Concepts
    2. 4.2 Common Cyber Threats
    3. 4.3 Security Frameworks

    Module 5: Cryptography, Authentication & Identity Security

    1. 5.1 Cryptography Basics
    2. 5.2 Authentication and Identity
    3. 5.3 Identity Security Risks

    Module 6: Introduction to Artificial Intelligence and Machine Learning

    1. 6.1 AI and ML Fundamentals
    2. 6.2 Core Machine Learning Concepts
    3. 6.3 AI in Cybersecurity

    Module 7: AI Applied to Security Detection and Threat Hunting

    1. 7.1 AI-Based Detection Concepts
    2. 7.2 Threat Hunting Concepts
    3. 7.3 AI in SOC Operations

    Module 8: AI Security, LLM Security and Responsible AI

    1. 8.1 LLM and Generative AI Basics
    2. 8.2 OWASP LLM Top 10
    3. 8.3 Responsible AI and Governance

    Module 9: Offensive Security for AI Systems

    1. 9.1 AI Threat Modeling
    2. 9.2 AI System Attacks
    3. 9.3 AI Red Teaming Concepts

    Module 10: Security Operations, Incident Response and Malware Analysis

    1. 10.1 SOC and Incident Response Basics
    2. 10.2 Malware and Threat Analysis
    3. 10.3 AI-Assisted SOC Operations

    Module 11: Governance, Compliance and Ethical AI Security

    1. 11.1 Governance and Risk Management
    2. 11.2 Compliance and Privacy
    3. 11.3 Ethical and Responsible Security

    Module 12: Capstone Project — AI-Driven Security Operations and Defense

    1. 12.1 Phase 1: Reconnaissance and Environmental Review
    2. 12.2 Phase 2: Detection and Threat Analysis
    3. 12.3 Phase 3: AI Security Assessment
    4. 12.4 Phase 4: Incident Response
    5. 12.5 Phase 5: Governance and Reporting

    Optional Module: AI Agents for AI+ Security Practitioner

    1. 1.1 What Are AI Agents?
    2. 1.2 Key Capabilities of AI Agents in Cyber Security
    3. 1.3 Applications and Trends for AI Agents in Cyber Security
    4. 1.4 How Does an AI Agent Work?
    5. 1.5 Core Characteristics of AI Agents
    6. 1.6 Types of AI Agents

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • AI Security Analyst
      AI Security Analyst
      Protect AI systems by identifying vulnerabilities, monitoring threats, and implementing security controls across AI applications.
    • Cybersecurity Analyst
      Cybersecurity Analyst
      Monitor security events, analyze cyber threats, and safeguard enterprise networks and AI-powered environments.
    • SOC Analyst
      SOC Analyst
      Detect, investigate, and respond to security incidents using Security Operations Center (SOC) tools and AI-driven monitoring solutions.
    • Threat Hunter
      Threat Hunter
      Proactively identify advanced cyber threats, uncover hidden attacks, and strengthen organizational security through continuous threat hunting.
    • Security Engineer
      Security Engineer
      Design, implement, and maintain secure infrastructure, applications, and AI systems to protect against evolving cyber risks.
    • AI Risk Specialist
      AI Risk Specialist
      Assess AI-related security risks, ensure regulatory compliance, and develop governance frameworks for responsible AI adoption.
    • Incident Response Analyst
      Incident Response Analyst
      Investigate cybersecurity incidents, contain threats, and coordinate recovery efforts to minimize business impact and improve resilience.

    Frequently Asked Questions

    This course covers AI security, cybersecurity foundations, threat detection, AI-driven security operations, LLM security, and responsible AI practices.

    This course is designed for learners with basic knowledge of AI, cybersecurity, networking, programming, security operations, and responsible AI.

    The certification exam includes 50 questions, requires a 70% passing score, and has a 90-minute online proctored format.

    You will gain skills in AI security, threat detection, cybersecurity operations, LLM security, automation, and responsible AI practices.

    You will explore tools such as Scikit-learn, TensorFlow, PyTorch, Kali Linux, Wireshark, Nmap, Wazuh, Splunk, and OWASP ZAP.

    Prerequisites

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    Exam Details

    Duration

    90 minutes

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Computing, Linux & Operating System Foundations 5%
    Networking Fundamentals and Traffic Analysis 9%
    Python for Security and Automation 9%
    Cybersecurity Foundations and Threat Landscape 9%
    Cryptography, Authentication & Identity Security 9%
    Introduction to Artificial Intelligence and Machine Learning 9%
    AI Applied to Security Detection and Threat Hunting 9%
    AI Security, LLM Security and Responsible AI 9%
    Offensive Security for AI Systems 8%
    Security Operations, Incident Response and Malware Analysis 8%
    Governance, Compliance and Ethical AI Security 8%
    Capstone Project — AI-Driven Security Operations and Defense 8%
    Course Price: USD $495.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)