AI+ Security Practitioner™
Formerly known as AI+ Security Level 1™ <br> <br> Empowering Cybersecurity with AI
Certificate Code:
AT-2101
About This Course
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.
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Prerequisites
Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
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.
2
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.
3
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.
4
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.
5
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.
6
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.
7
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.
8
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.
9
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.
10
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.
11
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.
12
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.
AI Tools You'll Learn
Scikit-learn
TensorFlow
PyTorch
Kali Linux
Wireshark
Nmap
Wazuh
Splunk
