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Securing AI Systems · LearnSpace
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Securing AI Systems

Курс от Edureka
Средний≈ 9.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Securing AI Systems is a hands-on course designed to help you safeguard machine learning applications against real-world threats. You will explore vulnerabilities such as adversarial attacks, data poisoning, and model theft, and then practice defense strategies through guided labs. By the end of the course, you will be able to secure AI pipelines, strengthen deployment environments, and implement monitoring and governance frameworks that ensure responsible AI use. This course is ideal for AI engineers, data scientists, cybersecurity professionals, and students aspiring to specialize in AI security. While prior knowledge of Python and basic machine learning concepts is recommended, all core security techniques will be taught step by step. Do not just build smarter AI. Build safer AI. Enroll now to gain the expertise needed to protect tomorrow’s intelligent systems,

Навыки, которые вы освоите

AI SecurityIdentity and Access ManagementMLOps (Machine Learning Operations)Threat DetectionSecurity TestingIncident ResponseAnomaly DetectionCybersecurityCloud SecuritySecurity StrategyThreat ModelingPenetration TestingHardeningResponsible AIModel DeploymentArtificial IntelligenceDevSecOpsVulnerability AssessmentsComputer Security Incident ManagementMachine Learning

Программа курса

4 модулей · 71 учебных материалов

01Designing Resilient AI Models20 материалов

Adversarial Defense Techniques

Specialization IntroductionВидеоCourse IntroductionВидеоBaseline Knowledge CheckDIALOGUECourse OverviewЧтение

Учитесь у экспертов

Edureka

Преподаватель курса

Securing AI Systems
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.9 ч

4 модулей

Язык: Английский

Субтитры: Венгерский

Часть программы вашего университета
Adversarial TrainingВидео
Defensive DistillationВидео
Real-time Defense Against Adversarial AttacksВидео
Demonstration: Adversarial Training for Robust ClassificationВидео
Federated Learning and Privacy-Preserving AIЧтение
Prioritizing Adversarial DefenseОбсуждение
Practice Quiz: Adversarial Defense TechniquesЗадание

Red Teaming AI Systems

Red Teaming for AI Security TestingВидеоRules of Engagement and Safety ControlsВидеоAttack Surface Mapping and Kill Chain DesignВидеоDemonstration: Red-Teaming Framework for AI Security TestingВидеоAI Red Teaming Playbook: Simulating Attacks for Risk DiscoveryЧтениеSimulating Real-World Attacks on AI SystemsОбсуждениеPractice Quiz: Red Teaming AI SystemsЗадание

Module Wrap-Up and Assessment

Module Summary: Designing Resilient AI ModelsЧтениеKnowledge Check: Designing Resilient AI ModelsЗадание
02Advanced Threat Detection and Response27 материалов

AI in Security Operations Centers (SOCs)

Integrating AI in SIEM and SOAR ToolsВидеоAI-Driven Threat Intelligence and AnalysisВидеоAutomating Response with AI PlaybooksВидеоAI-Augmented Threat Hunting and Incident Response StrategiesЧтениеAI for Reconnaissance Detection and OSINT DefenseВидеоAI in Mitigating DoS and DDoS AttacksВидеоTypes of DoS and DDoS AttacksВидеоCloud Security for AI: Securing Multi-Tenant EnvironmentsЧтениеAccelerating Incident Response with AIОбсуждениеPractice Quiz: AI in Security Operations Centers (SOCs)Задание

Reconnaissance and DoS in Practice

OSINT with theHarvester: Techniques and EthicsЧтениеDemonstration: Using theHarvester on a Social Networking SiteВидеоhping3 Traffic Crafting and Rate-Limiting TestsЧтениеDemonstration: Demonstrating DoS Attacks Using hping3ВидеоWireshark for DoS/DDoS Verification and PCAP AnalysisЧтениеDemonstration: Verifying an Ongoing DoS/DDoS Using WiresharkВидео

Incident Response for AI

Incident Response Runbooks for AIВидеоContainment and Eradication ProceduresВидеоDemonstration: Investigating Model and Data CompromiseВидеоValidation, Recovery and Return-to-ServiceВидеоDemonstration: Containing Prompt Injection and Model AbuseВидеоForensic Readiness for AI: Logs, Artifacts, Chain-of-CustodyЧтение

Module Wrap-Up and Assessment

Module Summary: Advanced Threat Detection and ResponseЧтениеKnowledge Check: Advanced Threat Detection and ResponseЗадание
03Secure MLOps and Deployment18 материалов

Securing AI in the Cloud

MLOps in CybersecurityВидеоSecuring AI Workloads in the CloudВидеоCloud AI Security Best PracticesВидеоAI for Serverless Security: Cloud-Native Security StrategiesЧтениеMonitoring Cloud AI DeploymentsВидеоCloud IAM and Access Controls for AI ServicesВидеоCloud Security Roadblocks for AI SystemsОбсуждениеPractice Quiz: Securing AI in the CloudЗадание

Hardware Security for AI

Hardware Attack SurfaceВидеоGPU/TPU Vulnerabilities: DMA, VRAM Leakage, Driver/IOMMU ControlsЧтениеSide-Channels and Co-ResidencyВидеоHardening and MitigationsВидеоDemonstration: Hardening AI Workloads Against Hardware Side-ChannelsВидеоSide-Channel Detection and Noise-Injection CountermeasuresЧтение

Module Wrap-Up and Assessment

Module Summary: Secure MLOps and DeploymentЧтениеKnowledge Check: Secure MLOps and DeploymentЗадание
04Course Wrap-Up and Assessment6 материалов

Course Wrap-Up and Assessment

Practice Project: Defending AI Systems Against Real-World ThreatsЧтениеEnd Course CheckpointDIALOGUEEnd Course Knowledge Check: Securing AI SystemsЗаданиеEnd Course Reflective Knowledge Check: Securing AI SystemsЗаданиеCourse SummaryВидеоDescribe Your Learning JourneyОбсуждение
Practice Quiz: Reconnaissance and DoS in PracticeЗадание
Choosing the Right Containment StrategyОбсуждение
Practice Quiz: Incident Response for AIЗадание
Mitigating Co-Residency Threats through IsolationОбсуждение
Practice Quiz: Hardware Security for AIЗадание