2 days ago
![[Image: Screenshot-from-2025-05-11-12-32-35.png]](https://i.postimg.cc/zXm00mxC/Screenshot-from-2025-05-11-12-32-35.png)
Requirements
- A basic understanding of AI or cybersecurity concepts
- No coding experience required
- Curiosity and commitment to building secure AI systems
Generative AI tools like ChatGPT, Bard, Claude, and Midjourney are changing the way we work, code, communicate, and innovate. But with this incredible power comes a new generation of threats — ones that traditional security frameworks weren’t designed to handle.
This course is designed to help you understand and manage the unique security risks posed by generative AI and Large Language Models (LLMs) — whether you're a cybersecurity expert, tech leader, risk manager, or just someone working with AI in your daily operations.
What You’ll Learn in This Course
- What generative AI and LLMs are — and how they actually work
- The full range of AI security risks: data leakage, model hallucinations, prompt injection, unauthorized access, deepfake abuse, and more
- How to identify and prioritize AI risks using threat modeling frameworks like STRIDE and DREAD
- The difference between public vs. private LLMs, and how to choose the right deployment for your security and compliance needs
- How to create a secure AI usage policy for your team or organization
- Step-by-step strategies to prevent AI-powered phishing, malware generation, and supply chain attacks
- Best practices for sandboxing, API protection, and real-time AI monitoring
This is not just another theoretical AI class.
You’ll explore real-world security incidents, watch hands-on demos of prompt injection attacks, and build your own custom AI security policy you can actually use.
By the end of this course, you’ll be ready to:
- Assess the risks of any AI system before it’s deployed
- Communicate AI threats and solutions with confidence to your team or executives
- Implement technical and governance controls that actually work
- Lead the secure adoption of AI tools in your business or organization
This course is for anyone looking to build or secure generative AI systems, including:
- Cybersecurity analysts, architects, and engineers
- CISOs, CTOs, and IT leaders responsible for AI adoption
- Risk and compliance professionals working to align AI with regulatory standards
- Developers and AI/ML engineers deploying language models
- Product managers, legal teams, and business stakeholders using AI tools
- Anyone curious about AI security, even with minimal technical background
You don’t need to be a programmer or a machine learning expert. If you understand basic cybersecurity principles and have a passion for learning about emerging threats, this course is for you.
Course Project: Your Own AI Security Policy
You’ll apply what you’ve learned by building a generative AI security policy from scratch — tailored for real-world use inside a company, government, or startup.
By the End of This Course, You’ll Be Able To:
- Recognize and mitigate generative AI vulnerabilities
- Securely integrate tools like ChatGPT and other LLMs
- Prevent insider misuse and external attacks
- Translate technical threats into strategic action
- Confidently lead or contribute to responsible AI adoption
- Cybersecurity professionals: Analysts, engineers, architects, red/blue teams
- CISOs and IT leaders: Decision-makers responsible for secure AI adoption
- Compliance and risk officers: Aligning AI with legal, regulatory, and internal frameworks
- AI and IT specialists: Developers, ML engineers, and sysadmins working with LLMs
- Legal advisors, product managers, and innovators looking to understand secure AI use
- Anyone with a basic understanding of AI and cybersecurity who wants to take their knowledge deeper
![[Image: tumblr-b540b318feeef992063cb2e5ff500a57-...resize.gif]](https://i.postimg.cc/jjkLFCGZ/tumblr-b540b318feeef992063cb2e5ff500a57-68426a28-1280-ezgif-com-resize.gif)
