Opleidingen

Opleiding: AI+ Security Practitioner™ eLearning

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.

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.

  • 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.
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 you will explore
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Kali Linux
  • Wireshark
  • Nmap
  • Wazuh
  • Splunk
  • OWASP ZAP

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Instructor-led OR Self-paced course + Official exam + Digital badge

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.

Meer...
€225
Vrij van BTW
Aangeboden door
OC ICT
Onderwerp
IT Beveiliging / Security
Niveau
Duur
1 dag
Looptijd
8 dagen
Taal
en
Type product
training
Lesvorm
E-Learning
Aantal deelnemers
Min: 3
Max: 999
Keurmerken aanbieder
CRKBO en BTW-vrijstelling
VOI
NRTO
Erkend keurmerk
BTW-vrijstelling