Master the critical skills needed to maintain AI systems in production through this hands-on course designed for DevOps engineers, ML engineers, and SREs. As AI deployments grow more complex, the ability to patch safely, recover from incidents quickly, and maintain operational health becomes essential. Through realistic crisis scenarios, you'll learn systematic patching strategies that minimize downtime, conduct blameless post-mortems that transform failures into knowledge, and build monitoring systems that detect issues before users notice. Work with industry tools like MLflow while practicing with real incident data. You'll tackle challenges like emergency vulnerability patches, investigate mysterious model failures, and design monitoring for million-user scale. Each module features immersive scenarios where you make critical decisions under pressure.
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Harden AI: Patch and Recover Incidents Fast
Dieser Kurs ist Teil von Spezialisierung für AI Security: Security in the Age of Artificial Intelligence
Dozenten: Starweaver
Bei enthalten
Empfohlene Erfahrung
Was Sie lernen werden
Apply systematic patching strategies to AI models, ML frameworks, and dependencies while maintaining service availability and model performance.
Conduct blameless post-mortems for AI incidents using structured frameworks to identify root causes, document lessons learned, and prevent recurrence
Set up monitoring, alerts, and recovery to detect and resolve model drift, performance drops, and failures early.
Kompetenzen, die Sie erwerben
- Kategorie: Problem Management
- Kategorie: Automation
- Kategorie: MLOps (Machine Learning Operations)
- Kategorie: AI Security
- Kategorie: Artificial Intelligence
- Kategorie: Disaster Recovery
- Kategorie: Site Reliability Engineering
- Kategorie: DevOps
- Kategorie: Sprint Retrospectives
- Kategorie: Dashboard
- Kategorie: Incident Management
- Kategorie: Dependency Analysis
- Kategorie: Vulnerability Assessments
- Kategorie: Model Deployment
- Kategorie: Patch Management
- Kategorie: System Monitoring
- Kategorie: Continuous Monitoring
Wichtige Details
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1 Aufgabe
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
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- Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
- Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
- Erwerben Sie ein Berufszertifikat zur Vorlage
In diesem Kurs gibt es 3 Module
Generate systematic patching strategies for AI models and ML frameworks, build comprehensive dependency maps for complex ML systems, and implement staged deployment protocols with canary testing and automated rollback mechanisms.
Das ist alles enthalten
8 Lektüren
Facilitate blameless post-mortem discussions for AI system failures, apply structured root cause analysis frameworks to categorize AI-specific failure patterns, and transform incident knowledge into actionable prevention strategies through organizational learning systems.
Das ist alles enthalten
6 Lektüren
Configure AI-specific monitoring dashboards with drift detection and performance metrics, design incident response runbooks with decision trees and escalation paths, and implement automated recovery mechanisms including self-healing systems and intelligent alerting.
Das ist alles enthalten
8 Lektüren1 Aufgabe
Erwerben Sie ein Karrierezertifikat.
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