The Vibe Coding Security And Risk Course

Learn How to Mitigate the Risks of Vibe Coding and AI Programming

What you'll learn

Fundamentals of Vibe Coding

Vibe Coding Use Cases

Security Risks of Vibe Coding

How to secure Vibe Coding

Vibe Coding and App Security

Requirements

Basic knowledge of Coding

Basic knowledge of Cybersecurity

Deep knowledge of AI is not needed

Description

Vibe coding is redefining how software gets built. Powered by AI tools like ChatGPT, Cursor, Claude, and GitHub Copilot, developers—and even non-developers—can now generate functional code by simply describing what they want in natural language.But this new speed and accessibility come with hidden dangers.The "Vibe Coding Security & Risk Course" is a comprehensive course dedicated to helping you understand and mitigate the unique cybersecurity risks introduced by AI-assisted coding.This course explores the security pitfalls of vibe coding, the limitations of AI-generated code, and the practical controls—like prompt engineering, Cursor Rules, and AI output review gates—that you need to build safely and responsibly.What You Will LearnThe fundamentals of vibe coding workflows and how they differ from traditional programmingThe security risks of vibe coding, including AI hallucinations, prompt injection, dependency poisoning, and insecure default patternsHow traditional software security best practices still apply—but why they’re no longer enoughHow to use prompt rules and Cursor Rules to shape AI-generated code for better security outcomesHow to implement AI-specific controls Who Should Take This CourseThis course is ideal for anyone building software with AI assistance—or responsible for securing environments where vibe coding is happening:Cybersecurity professionalsSoftware developers using AI toolsSecurity engineers and AppSec teamsDevSecOps engineersAI/ML engineersIT managers overseeing AI coding adoptionTechnical product owners building AI-driven productsPre-requisitesYou don’t need to be a developer or an AI expert to take this course.A basic understanding of software development or cybersecurity concepts is helpful, but this course is designed to be accessible to anyone working in or around AI-generated code.InstructorTaimur Ijlal is an award-winning cybersecurity leader with over 20 years of experience in application security, AI security, and cloud infrastructure protection. His courses on cybersecurity, AI risk, and cloud governance have reached thousands of students worldwide.Taimur’s work has been featured in ISACA Journal, CIO Middle East, and numerous AI security publications. His books and Udemy courses are widely used by both enterprise security teams and independent learners.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction To Vibe Coding

Lecture 3 Vibe Coding - Demo 1

Lecture 4 Vibe Coding - Demo 2

Section 2: Risks of Vibe Coding

Lecture 5 Vibe Coding Risks

Lecture 6 Vibe Coding Risks - Hallucinations and Slopsquatting

Lecture 7 Vibe Coding Risks - Prompt Injections and Data Leakage

Lecture 8 Vibe Coding Risks - Vibe Hacking and Social Impact

Section 3: Securing Vibe Coding

Lecture 9 Securing Vibe Coding

Lecture 10 Securing Vibe Coding - Case Study

Lecture 11 Secure Prompt Engineering

Lecture 12 Prompt Rules Demo - 1

Lecture 13 Prompt Rules Demo - 2

Section 4: Model Context Protocol

Lecture 14 Model Context Protocol - Overview

Lecture 15 Model Context Protocol - Demo

Lecture 16 Model Context Protocol - Risks

Lecture 17 Model Context Protocol - Assessing Risks

Section 5: Conclusion

Lecture 18 Conclusion

Cybersecurity professionals,Security Architects,AI and ML Professionals,GenAI Security professionals,Programmers and Developers,CISOs, CTOs, CROs