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Securing Generative AI · LearnSpace
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courseraIT и технологии

Securing Generative AI

Курс от Pearson
Средний≈ 7.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course offers a comprehensive exploration into the crucial security measures necessary for the deployment and development of various AI implementations, including large language models (LLMs) and Retrieval-Augmented Generation (RAG). It addresses critical considerations and mitigations to reduce the overall risk in organizational AI system development processes. Experienced author and trainer Omar Santos emphasizes “secure by design” principles, focusing on security outcomes, radical transparency, and building organizational structures that prioritize security. You will be introduced to AI threats, LLM security, prompt injection, insecure output handling, and Red Team AI models. The course concludes by teaching you how to protect RAG implementations. You learn about orchestration libraries such as LangChain, LlamaIndex, and others, as well as securing vector databases, selecting embedding models, and more.

Навыки, которые вы освоите

AI SecurityRetrieval-Augmented GenerationSecurity TestingPrompt EngineeringLLM ApplicationResponsible AIVector DatabasesEmbeddingsThreat ModelingApplication SecuritySecurity ControlsLangChainAI OrchestrationMITRE ATT&CK FrameworkOpen Web Application Security Project (OWASP)Generative AILarge Language Modeling

Программа курса

1 модулей · 43 учебных материалов

01Securing Generative AI43 материалов

Introduction to AI Threats and LLM Security

IntroductionВидеоLearning objectivesВидеоUnderstanding the Significance of LLMs in the AI LandscapeВидеоExploring the Resources for this Course - GitHub Repositories and OthersВидеоIntroducing Retrieval Augmented Generation (RAG)

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Pearson

Преподаватель курса

Securing Generative AI
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Обучение на Coursera

≈ 7.2 ч

1 модулей

Язык: Английский

Субтитры: Американский английский

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Видео
Understanding the OWASP Top-10 Risks for LLMsВидео
Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) FrameworkВидео
Understanding the NIST Taxonomy and Terminology of Attacks and MitigationsВидео
Introduction to AI Threats and LLM Security QuizЗадание

Understanding Prompt Injection & Insecure Output Handling

Learning objectivesВидеоDefining Prompt Injection AttacksВидеоExploring Real-life Prompt Injection AttacksВидеоUsing ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt InputВидеоEnforcing Privilege Control on LLM Access to Backend SystemsВидеоBest Practices Around API Tokens for Plugins, Data Access, and Function-level PermissionsВидеоUnderstanding Insecure Output Handling AttacksВидеоUsing the OWASP ASVS to Protect Against Insecure Output HandlingВидеоUnderstanding Prompt Injection & Insecure Output Handling QuizЗадание

Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities

Learning objectivesВидеоUnderstanding Training Data Poisoning AttacksВидеоExploring Model Denial of Service AttacksВидеоUnderstanding the Risks of the AI and ML Supply ChainВидеоBest Practices when Using Open-Source Models from Hugging Face and Other SourcesВидеоSecuring Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other EnvironmentsВидеоTraining Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities QuizЗадание

Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency

Learning objectivesВидеоUnderstanding Sensitive Information DisclosureВидеоExploiting Insecure Plugin DesignВидеоAvoiding Excessive AgencyВидеоSensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency QuizЗадание

Overreliance, Model Theft, and Red Teaming AI Models

Learning objectivesВидеоUnderstanding OverrelianceВидеоExploring Model Theft AttacksВидеоUnderstanding Red Teaming of AI ModelsВидеоOverreliance, Model Theft, and Red Teaming AI Models QuizЗадание

Protecting Retrieval Augmented Generation (RAG) Implementations

Learning objectivesВидеоUnderstanding the RAG, LangChain, Llama Index, and AI OrchestrationВидеоSecuring Embedding ModelsВидеоSecuring Vector DatabasesВидеоMonitoring and Incident ResponseВидеоProtecting Retrieval Augmented Generation (RAG) Implementations QuizЗадание

Summary

Securing Generative AI: SummaryВидеоEnd of Course Assessment Задание