Free download скачать Generative AI Privacy & Security OWASP & NIST for Devs
Published 8/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 15m ) | Size: 562.4 MB

Master Generative AI data privacy with OWASP, NIST AI RMF, secure RAG, LLMOps, threat modeling and privacy testing.
[h2]What you'll learn[/h2]
⚡ Neutralize the OWASP Top 10 vulnerabilities specific to Large Language Models before deployment.
⚡ Build Python-based middleware to automatically redact PII before it reaches external AI APIs.
⚡ Defend AI agentic workflows and chains against direct and indirect prompt injection attacks.
⚡ Implement Zero-Trust architecture and strict Role-Based Access Controls in RAG systems.
[h2]Requirements[/h2]
❗ Basic understanding of Python or JavaScript and familiarity with REST APIs. No prior cybersecurity expertise or advanced machine learning knowledge is required-we build the security layers from scratch.
[h2]Description[/h2]
"This course contains the use of artificial intelligence."
Build GenAI applications that can demonstrate how sensitive information is controlled-not merely promise that it is.
Generative AI introduces new data flows across prompts, models, RAG systems, vector stores, tools, APIs, caches, and telemetry. This developer-focused course converts privacy and AI-risk guidance into technical architecture, implementation controls, tests, and review evidence.
[h2]Who this course is for[/h2]
⭐ Backend Developers, Full-Stack Engineers, and AI Integration Specialists tasked with integrating LLMs into enterprise applications who need to guarantee data privacy and pass strict security compliance audits.
[h2]Homepage[/h2]

https://www.udemy.com/course/generative-ai-privacy-security-owasp-nist-for-devs

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