Practical DevSecOps Certified AI Security Professional (CAISP) - Self-paced

Length 60-day lab access
Price NZD 1700 exc GST
Inclusions Exam voucher

Course overview

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Why study this course

Advance your AI Cybersecurity career with the most comprehensive AI Security Certification program. Learn about LLM vulnerabilities, AI threat modeling, and MITRE ATLAS defense frameworks. Join the elite AI Security Professionals protecting critical AI systems from emerging threats.

Practical DevSecOps delivers the industry-leading AI security certification built on real-world attack scenarios. The hands-on labs provide practical experience mitigating LLM vulnerabilities, preventing AI supply chain attacks, and implementing MITRE ATLAS defenses. Learn from industry veterans who’ve secured AI systems at Fortune 500 companies, mastering techniques deployable immediately.

You’ll learn to:

Detect and neutralise adversarial attacks targeting LLMs, including prompt injection and model theft.
Implement robust AI security controls using model signing, SBOMs, and dependency verification.
Apply MITRE ATLAS framework and STRIDE-GPT methodologies to identify AI-specific vulnerabilities.
Create effective incident response playbooks for AI system breaches and model compromise events.

This self-paced course will provide you with:

3 years of access to the videos
A PDF course manual
Checklists
30+ guided exercises
24/7 student support through a dedicated Mattermost channel from Practical DevSecOps

Lab and Exam:

60 days of browser-based lab access
One exam attempt for Certified AI Security Professional (CAISP) Certification

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What you’ll learn

Identify and counter LLM threats using frameworks like MITRE ATLAS and OWASP Top 10 LLM Vulnerabilities through hands-on labs in prompt injection, adversarial attacks, and model poisoning.
Apply AI threat modeling methodologies including STRIDE framework to systematically identify, assess, and document security vulnerabilities in AI systems and infrastructure.
Learn practical defenses against emerging attacks on large language models, including techniques to prevent data poisoning, model extraction, and evasion attacks in production environments.
Detect and mitigate AI supply chain risks with practical techniques including model signing, SBOMs, vulnerability scanning, and dependency attack prevention across AI development pipelines.
Secure DevOps environments against AI-specific attacks targeting CI/CD pipelines, automated decision systems, and dependency structures with proven defense techniques.
Learn and understand the compliance standards, and legislations like ISO/IEC 42001, EU AI Act to ensure AI compliance, transparency, and ethical implementation while protecting sensitive data in AI systems.

Practical DevSecOps at Lumify Work

Practical DevSecOps are the DevSecOps pioneers. Learn DevSecOps concepts, tools, and techniques from industry experts, and master real-world skills in state-of-the-art online labs. Demonstrate your expertise to organisations by earning DevSecOps Certification, with task-based knowledge rather than theory. Lumify Work is an Official Training Partner of Practical DevSecOps.

View all Practical DevSecOps at Lumify Work courses

Who is the course for?

Security professionals wanting to learn about AI supply chain risks, securing data pipelines, and protecting AI infrastructure.

Course subjects

Introduction to AI Security
Understanding and Attacking Large Language Models
LLM Top 10 Vulnerabilities
AI Attacks and Defenses Using DevOps
Threat Modeling AI Systems
Supply Chain Attacks in AI
Emerging Threats, Governance, and Compliance in AI

Prerequisites

Course participants should have knowledge of running basic Linux commands like ls, cd, mkdir, etc.
Familiarity with any scripting language like Python, Golang, or ruby helps. However, it’s not a necessity.

Lumify Work is proud to be Cyber Security Training Business of the Year

Australian Cyber Awards 2025 winner Cyber Security Training Business of the Year

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.