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Generative AI Security Protecting Data & Models Masterclass
Free Download Generative AI Security Protecting Data & Models Masterclass
Last updated 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.76 GB | Duration: 2h 51m
Learn GenAI Security, AI Threat Modeling, Data Protection, and Model Safeguarding with Real-World Examples & Techniques.
What you'll learn
Understand the fundamentals of Generative AI and why security plays a critical role in its responsible use.
Identify common cybersecurity threats specific to GenAI tools and how they impact systems and users.
Analyze real-world GenAI cyber incidents to uncover security lapses and best practices.
Learn the basics of AI threat modeling and how to build secure-by-design AI systems.
Explore data security challenges in GenAI and how to apply protection techniques effectively.
Discover techniques like DRM, watermarking, and model encryption to secure your AI models.
Requirements
No prior experience in cybersecurity or AI is required—this course is beginner-friendly.
A curious mindset and basic understanding of AI concepts will be helpful.
Access to the internet and a laptop or mobile device for viewing the lessons.
Description
As Generative AI (GenAI) continues to revolutionize industries, it also introduces a new frontier of cybersecurity threats. From model theft and prompt injection to data leaks and algorithmic manipulation—there are critical risks every AI professional, developer, and business leader must understand.This course is designed to help you understand the intersection of GenAI and cybersecurity in a practical, beginner-friendly way. You'll explore how GenAI systems can be attacked, what threat modeling looks like for AI workflows, and how to safeguard sensitive data and intellectual property. Whether you're working on AI projects, auditing digital systems, or simply exploring the future of technology, this course will equip you with essential knowledge to make GenAI systems more secure and responsible. What you'll learn:Core concepts of GenAI and why cybersecurity matters more than everCommon threats, risks, and real-world GenAI attack examplesAI threat modeling fundamentalsData security issues and how to protect data in GenAI workflowsHow to secure AI models from theft, misuse, and replicationTechniques like DRM, watermarking, and obfuscation for protectionNo prior AI or cybersecurity experience is required. If you're a student, tech professional, founder, or just GenAI-curious—this course is for you.Join now and start securing the future of AI—one model at a time.
AI Enthusiasts and Beginners who want to understand how to build and use GenAI tools securely.,Cybersecurity Learners looking to explore emerging threats and protection methods in the world of AI.,Tech Professionals and Developers working with AI models who want to prevent data leaks and model theft.,Students of Data Science or Computer Science who want to gain practical awareness of AI-related risks.,Startup Founders and Product Managers integrating GenAI into their business workflows and needing to secure it.,IT Auditors and Compliance Officers who must understand the risk posture of AI systems and how to safeguard them.,Educators and Trainers designing AI-focused courses who want to add a layer of security awareness to their content.
Homepage
https://www.udemy.com/course/generative-ai-security-protecting-data-models-made-easy/Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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