Enroll Course: https://www.udemy.com/course/genai-cybersecurity-owasp-mitre-atlas-api-attcks-in-hindi/
In the rapidly evolving world of Artificial Intelligence, the security of Generative AI (GenAI) models, especially Large Language Models (LLMs), has become paramount. For those looking to understand and secure these powerful tools, the “GenAI Cybersecurity हिंदी में: OWASP, MITRE, & API Attacks” course on Udemy offers a comprehensive and beginner-friendly introduction, all delivered in Hindi.
This course is an excellent resource for cybersecurity enthusiasts, AI developers, and IT students alike. It strikes a perfect balance between theoretical understanding and practical application, focusing on securing LLMs, the very heart of the GenAI ecosystem.
The course begins by building a robust theoretical foundation. You’ll delve into the intricacies of how LLMs are built using the Transformer architecture, tracing the evolution of neural networks from RNNs to Transformers. Key concepts like Positional Encoding, Self-Attention, and Multi-Head Attention are explained clearly, providing a deep understanding of the underlying technology.
Moving on, the course dissects the layers of an LLM system, covering the Application Layer, AI Model Layer, and Integration Layer. Understanding these components is crucial for identifying potential vulnerabilities. The course then explores attack surfaces from two critical perspectives: consumer-side attacks such as prompt injection and data leakage, and provider-side risks including model theft and insecure endpoints.
A significant portion of the course is dedicated to industry-standard security frameworks. You’ll learn about the OWASP Top 10 Risks for LLMs, a vital guide for developers and security professionals. Furthermore, the course provides an in-depth look at MITRE ATLAS threat mapping, offering practical insights into how to anticipate and defend against sophisticated AI-driven attacks.
The practical demonstrations are where this course truly shines. You’ll witness firsthand demos of OLLAMA API misconfiguration and its mitigation using NGINX. Additionally, hands-on experience is provided through PortSwigger Labs focused on LLMs with excessive API agency, allowing you to apply your learnings in a controlled environment.
To solidify your understanding, the course incorporates real-world case studies. Examining incidents like OpenAI vs. DeepSeek (model theft), Microsoft Tay (output poisoning), Wiz Cloud Logs Leak (prompt and data exposure), Chevrolet AI Chatbot (unexpected AI agent behavior), and OLLAMA API Exposure (unsecured endpoints) offers invaluable lessons on the consequences of GenAI vulnerabilities and the importance of robust security measures.
Beyond technical skills, the course offers essential career guidance. It outlines a roadmap for building AI/ML fundamentals, understanding the intersection of GenAI and Cybersecurity, developing hands-on skills, and growing your professional presence online. This holistic approach ensures you are well-prepared for a career in this burgeoning field.
**Recommendation:**
If you’re looking to gain a solid understanding of GenAI cybersecurity, especially with a focus on LLMs and their associated risks, this course is highly recommended. The Hindi delivery makes complex topics accessible to a wider audience, and the blend of theory, practical demos, and real-world examples makes it an incredibly valuable learning experience. Whether you’re starting your journey into AI security or looking to deepen your expertise, “GenAI Cybersecurity हिंदी में: OWASP, MITRE, & API Attacks” is an excellent investment.
Enroll Course: https://www.udemy.com/course/genai-cybersecurity-owasp-mitre-atlas-api-attcks-in-hindi/