AI+ Security Practitioner™

$195.00
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.

Learning Modules

Module 1: Computing, Linux, and Operating System Foundations

  1. You will learn about computer systems, operating systems, Linux administration, file systems, commands, user management, permissions, authentication, and access control concepts.

Module 2: Networking Fundamentals and Traffic Analysis

  1. You will learn networking concepts, IP addressing, protocols, TCP/IP communication, DNS, network security, traffic analysis, firewalls, IDS/IPS, and VPN technologies.

Module 3: Python for Security and Automation

  1. You will learn Python programming fundamentals and how to use scripting for security automation, log analysis, data processing, and efficient security workflows.

Module 4: Cybersecurity Foundations and Threat Landscape

  1. You will learn cybersecurity principles, risks, vulnerabilities, attack surfaces, security controls, common cyber threats, and industry security frameworks.

Module 5: Cryptography, Authentication, and Identity Security

  1. You will learn encryption, hashing, digital signatures, TLS security, authentication methods, identity management, access controls, and identity protection practices.

Module 6: Introduction to Artificial Intelligence and Machine Learning

  1. You will learn AI, ML, and Deep Learning fundamentals, learning approaches, ML lifecycle, datasets, model evaluation, and AI applications in cybersecurity.

Module 7: AI Applied to Security Detection and Threat Hunting

  1. You will learn AI-based threat detection, behavioral analytics, anomaly detection, threat intelligence, threat hunting, MITRE ATT&CK mapping, and AI-assisted SOC operations.

Module 8: AI Security, LLM Security, and Responsible AI

  1. You will learn LLMs, Generative AI, AI copilots, RAG, OWASP LLM security risks, AI vulnerabilities, governance, and responsible AI practices.

Module 9: Offensive Security for AI Systems

  1. You will learn AI threat modeling, attack surfaces, adversarial attacks, STRIDE methodology, AI vulnerabilities, red teaming, and security testing approaches.

Module 10: Security Operations, Incident Response, and Malware Analysis

  1. You will learn about SOC operations, SIEM concepts, incident response, malware analysis, threat investigation, and AI-assisted security operations.

Module 11: Governance, Compliance, and Ethical AI Security

  1. You will learn security governance, risk management, AI governance, compliance, privacy principles, and responsible AI security practices.

Module 12: Capstone Project u2014 AI-Driven Security Operations and Defense

  1. You will apply cybersecurity skills through an end-to-end AI security project involving threat analysis, AI risk assessment, incident response, and professional security reporting.
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 u2014 Validates readiness for entry-level to intermediate cybersecurity roles.

AI-Driven Threat Detection:

Validates essential knowledge and competency required for modern security teams.
Who Should Enroll

  • 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.

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