Opleiding: AI+ Security Practitioner™ eLearning

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.

Module 1: Computing, Linux, and Operating System Foundations

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* You will learn security governance, risk management, AI governance, compliance, privacy principles, and responsible AI security practices. Module 12: Capstone Project — AI-Driven Security Operations and Defense

* 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. 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