Published 3/2026
Created by Armaan Sidana
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 17m ) | Size: 1.32 GB
Master AI Security Comptia SecAI+! Hands-on labs in Prompt Injection, Adversarial ML, and MLSecOps.
What you'll learn
✓ Prepare the CompTIA SecAI+ certification exam with confidence by mastering all five official exam domains.
✓ Execute real-world AI attacks, including Prompt Injection, Data Poisoning, and Adversarial Evasion in a hands-on lab environment.
✓ Secure the complete AI/ML pipeline (MLSecOps) from data collection to deployment, including implementing secure model registries and LLM guardrails.
✓ Apply industry-standard governance frameworks like the NIST AI RMF and prepare your organization for new regulations like the EU AI Act.
✓ Red Team AI systems to find vulnerabilities and learn to lead AI-specific incident response and forensic investigations.
✓ Deploy and configure AI-powered security tools like SIEM (Wazuh) and write AI-driven anomaly detection scripts in Python.
Requirements
● A foundational understanding of cybersecurity concepts is highly recommended. Ideally, you should have the CompTIA Security+ certification or at least 2 years of experience in a security or network administration role.
● Basic familiarity with Python programming will be beneficial for the hands-on labs, but all code will be provided with step-by-step explanations, making it accessible even if you're not an expert coder.
● You will need a computer capable of running a virtual machine (with at least 8GB of RAM, 16GB is recommended).
● Ability to install free and open-source software, including VirtualBox (or VMware), Docker, and VS Code. All lab tools are free, and we will guide you through the complete setup process.
● Most importantly, a strong desire to learn about the cutting-edge intersection of Artificial Intelligence and Cybersecurity
