Your cart is empty.
Keep shoppingUltimate CompTIA SecAI+ 2026 Course
196 students
Ultimate CompTIA SecAI+ 2026 Course
Master AI Security Comptia SecAI+! Hands-on labs in Prompt Injection, Adversarial ML, and MLSecOps.
Created byArmaan Sidana
Last updated 3/2026
English
English [Auto],
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.
Explore related topics
Course content
11 sections • 11 lectures • 2h 17m total length
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
Description
Are you ready to master the most critical new domain in cybersecurity?
Artificial Intelligence is no longer the future—it's the new battleground. Attackers are weaponizing AI to create hyper-realistic deepfakes, polymorphic malware, and unstoppable phishing campaigns. In response, organizations are desperately seeking professionals who can secure AI systems, not just traditional networks. The CompTIA SecAI+ certification is the industry's answer, validating the essential skills needed to operate at this new intersection of AI and security.
This is the only course you will ever need to master AI security and pass the CompTIA SecAI+ exam on your first attempt.
Led by cybersecurity professional and educator Armaan Sidana, this masterclass cuts through the hype and delivers a practical, lab-driven learning experience. We go far beyond theory. You will not just learn about AI threats; you will execute them. You will not just read about defenses; you will build them.
Throughout this course, you will gain hands-on mastery of:
The Complete CompTIA SecAI+ Exam Objectives: We cover all five domains in-depth to ensure you are fully prepared for certification.
Offensive AI Techniques: Learn to think like an attacker by executing Prompt Injection, generating Adversarial Examples with Python, and performing Model Evasion and Data Poisoning attacks.
Defensive AI Architecture: Build robust defenses by implementing LLM Guardrails, securing the entire AI/ML Pipeline (MLSecOps), and configuring AI-powered security tools like SIEM and EDR.
AI Governance & Risk Management: Master industry-critical frameworks, including the NIST AI Risk Management Framework (RMF) and the EU AI Act, to ensure your organization's AI is secure, ethical, and compliant.
AI Red Teaming & Incident Response: Learn the methodology for red teaming AI systems and master the forensic process for investigating AI-specific security incidents.
This course is packed with 14 hands-on practical labs where you will actually deploy a secure model registry with Docker, detect poisoning in a dataset, use Microsoft Copilot to investigate an incident, and red team a live chatbot.
This course is for Security Analysts, Network Engineers, Penetration Testers, AI/ML Engineers, and any IT professional looking to become an indispensable leader in the next generation of cybersecurity.
If you are ready to become your organization's go-to AI security expert, this is the course for you.
Enroll now and start securing the future!
Who this course is for:
- Cybersecurity Analysts & Engineers who want to upgrade their skills to detect and respond to AI-powered threats and learn to leverage AI in their security tools (SIEM, SOAR, EDR).
- Penetration Testers, Ethical Hackers, and Red Teamers who need to learn the new attack surface of AI/ML systems, including prompt injection, model evasion, and data poisoning techniques.
- AI/ML Engineers and Data Scientists who want to build secure, robust, and ethical AI models from the ground up by integrating security principles into their development lifecycle ("shift left" for AI).
- DevOps & MLOps Engineers responsible for building and maintaining the AI/ML pipeline and want to master the principles of MLSecOps.
- IT & Security Managers, Architects, and CISOs who need to understand the strategic risks of AI, develop governance programs, and lead their organizations in the AI era.
- Network and Systems Administrators whose infrastructure is increasingly managed and targeted by AI-driven tools and attacks.
- IT Professionals and Students seeking to future-proof their careers by specializing in the high-demand, cutting-edge field of AI Security.