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Learning Roadmap

How to Become a AI Security Awareness Training Designer

A step-by-step, phase-based learning path from beginner to job-ready AI Security Awareness Training Designer. Estimated completion: 7 months across 5 phases.

5 Phases
30 Weeks Total
Medium Entry Barrier
Intermediate Difficulty
← AI Security Awareness Training Designer Overview Interview Prep →
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  1. Foundations: Cybersecurity Awareness & AI Literacy

    6 weeks
    Goals
    • Understand core cybersecurity awareness principles including social engineering, phishing anatomy, and security culture frameworks
    • Build foundational literacy in how large language models work, including their capabilities and failure modes
    • Learn adult learning theory basics (Knowles, Bloom's Taxonomy, Kirkpatrick evaluation model)
    Resources
    • SANS SEC301 or equivalent introductory security awareness course
    • DeepLearning.AI 'Generative AI for Everyone' on Coursera
    • Book: 'The Art of Deception' by Kevin Mitnick for social engineering context
    • Hugging Face NLP Course (first 3 modules)
    Milestone

    You can articulate the top 10 AI-related security risks and explain how LLMs generate text, where they fail, and why that creates organizational risk.

  2. Instructional Design for Security Education

    6 weeks
    Goals
    • Master the ADDIE and SAM instructional design models applied to cybersecurity content
    • Build interactive e-learning modules using Articulate Storyline or Rise 360
    • Learn gamification principles and behavioral nudge theory for sustained engagement
    Resources
    • ATD Instructional Design Certificate program or equivalent
    • Articulate 360 free trial with guided tutorials
    • Book: 'Design for How People Learn' by Julie Dirksen
    • KnowBe4 security awareness content library for benchmarking
    Milestone

    You can independently design, storyboard, and build a polished interactive security awareness module from concept to deployment.

  3. AI Threat Deep Dive & Simulation Building

    8 weeks
    Goals
    • Develop hands-on understanding of prompt injection, jailbreaking, data poisoning, and model extraction attacks
    • Build AI-powered phishing simulation campaigns using GPT-generated content
    • Learn to use deepfake generation and detection tools for training demonstrations
    • Understand AI governance frameworks (NIST AI RMF, ISO 42001, EU AI Act)
    Resources
    • OWASP Top 10 for LLM Applications
    • Simon Willison's blog and 'Exploring AI Security' resources
    • OpenAI API documentation and safety best practices guide
    • NIST AI Risk Management Framework documentation
    • Pindrop or Reality Defender for deepfake detection demos
    Milestone

    You can design a comprehensive AI threat simulation exercise and build training content that demonstrates real attack vectors in a safe, educational context.

  4. Advanced Content Production & Measurement

    6 weeks
    Goals
    • Create AI-generated video training scenarios using Synthesia or HeyGen
    • Build an interactive AI-awareness chatbot tutor using LangChain
    • Implement xAPI-based learning analytics to measure training effectiveness
    • Design role-based curriculum tracks for executives, developers, and general staff
    Resources
    • Synthesia or HeyGen platform access
    • LangChain documentation and tutorials on building retrieval-augmented chatbots
    • xAPI specification and Learning Locker LMS setup guides
    • Case studies from large enterprises on AI security training programs
    Milestone

    You can produce a full suite of multimedia AI security training content with measurable engagement metrics and an interactive chatbot reinforcement tool.

  5. Portfolio, Certification & Job Readiness

    4 weeks
    Goals
    • Build a portfolio showcasing AI security training modules, simulation campaigns, and policy templates
    • Pursue relevant certifications such as SANS MGT433 or Certified AI Security Professional
    • Practice mock interviews and develop a professional network in the AI security community
    • Publish thought-leadership content on AI security awareness to build visibility
    Resources
    • GitHub for hosting portfolio projects
    • LinkedIn Learning for interview preparation
    • SANS MGT433: Building a Security Awareness Program
    • AI security community forums and conferences (BSides, DEF CON AI Village)
    Milestone

    You have a polished portfolio, at least one relevant certification, published thought-leadership content, and are prepared to interview for AI Security Awareness Training Designer roles.

Practice Projects

Apply your skills with hands-on projects. Ordered by difficulty.

AI Phishing Simulation Campaign Builder

Intermediate

Build an end-to-end AI-powered phishing simulation system that uses GPT to generate contextually relevant phishing emails, tracks click-through and credential submission rates, and auto-generates individualized remediation training based on employee mistakes.

~35h
OpenAI API integrationphishing simulation designdata analysis and reporting

Interactive AI Threat Awareness Chatbot

Intermediate

Develop a LangChain-powered chatbot that employees can interact with to learn about AI security threats. The chatbot quizzes users on scenarios like prompt injection, deepfake identification, and safe AI tool usage, adapting difficulty based on responses.

~30h
LangChain developmentconversational AI designretrieval-augmented generation

Deepfake Detection Training Module

Advanced

Create an interactive e-learning module that teaches employees to identify deepfake audio and video. Include real examples, a scoring-based detection challenge, verification protocol training, and a simulated CEO fraud scenario using synthesized voice.

~40h
deepfake technology literacyArticulate Storyline authoringscenario-based instructional design

AI Security Awareness Microlearning Series

Beginner

Design and produce a 12-week microlearning series delivered via Slack or Teams, covering one AI security topic per week with a 2-minute video, a one-question quiz, and a practical tip. Topics range from safe ChatGPT usage to identifying AI-generated misinformation.

~25h
content writingvideo scriptingSlack API integration

NIST AI RMF Compliance Training Program

Advanced

Design a comprehensive training program aligned with the NIST AI Risk Management Framework, including role-based modules for executives, developers, and general staff. Include assessment rubrics, policy templates, and a board-ready maturity dashboard.

~50h
AI governance frameworkscompliance training designexecutive communication

Secure AI Coding Workshop for Developers

Advanced

Build a hands-on workshop teaching developers to identify and mitigate OWASP LLM Top 10 vulnerabilities, including prompt injection defense, output sanitization, and secure AI API integration. Include vulnerable-by-design coding exercises and a capture-the-flag challenge.

~45h
OWASP LLM Top 10secure coding practicesworkshop facilitation

AI Acceptable Use Policy Toolkit

Beginner

Create a ready-to-deploy AI acceptable-use policy toolkit including a policy template, employee FAQ, decision-tree infographic for common AI tool scenarios, and a 10-minute onboarding training video. Designed to be customizable for any organization.

~20h
policy writinginfographic designcorporate communication

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