AI+ Security Practitioner™

# AT-2101

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.

$495.00

High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
Hands-on Practices

Prerequisites

  • Basic understanding of AI and cybersecurity concepts, including security principles and terminology.
  • Knowledge of security operations such as threat detection, risk management, vulnerability assessment, and incident response.
  • Familiarity with networking, systems, cloud environments, and security controls.
  • Understanding data protection, privacy, compliance, and secure data handling practices.
  • Basic programming and automation awareness for security workflows.
  • Awareness of responsible AI, security governance, and AI-powered security tools.

Exam Details

Exam Blueprint

ModulesPercentage
Computing, Linux & Operating System Foundations6
Networking Fundamentals and Traffic Analysis9
Python for Security and Automation9
Cybersecurity Foundations and Threat Landscape9
Cryptography, Authentication & Identity Security9
Introduction to Artificial Intelligence and Machine Learning9
AI Applied to Security Detection and Threat Hunting9
AI Security, LLM Security and Responsible AI9
Offensive Security for AI Systems8
Security Operations, Incident Response and Malware Analysis18
Governance, Compliance and Ethical AI Security8
Capstone Project — AI-Driven Security Operations and Defense8

Self Study Materials Included

Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Hands-on
Practical experience through real-world exercises, case studies, and applied learning.

Tools You'll Master

Scikit-learn
TensorFlow
PyTorch
Kali Linux
Wireshark
Nmap
Wazuh
Splunk
OWASP ZAP

What Will You Learn?

Automation of Security Processes
Master AI technologies to streamline routine tasks like monitoring, logging, and incident management for improved operational efficiency and accuracy.
Threat Detection and Response Using AI
Learn to deploy AI-powered tools for real-time threat detection, analysis, and mitigation of cyber risks.
Data Privacy and Compliance in AI Security
Explore regulatory requirements and implement data privacy measures using AI tools to ensure compliance and secure handling of sensitive data.
Real-Time Cyberattack Prevention with AI
Acquire predictive analytics skills to prevent cyberattacks before they occur, leveraging behavioral analysis and anomaly detection.

Certification 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 — 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.

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Industry Opportunities after Certification Completion

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With AI+ Security Practitioner™
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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.
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