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AvanzadocourseAcceso por bootcamp
AI Ethics & Compliance Guide
64
Lecciones
8
Módulos
🎓
Acceso por bootcamp
Lo que aprenderás
✓Analyze real AI ethics failures (hiring algorithms, facial recognition, credit scoring) and extract actionable lessons
✓Implement fairness metrics (demographic parity, equalized odds) and bias testing with concrete techniques
✓Apply privacy fundamentals to AI: data minimization, anonymization, consent for AI processing
✓Classify AI systems under EU AI Act risk categories (unacceptable, high, limited, minimal)
✓Navigate EU AI Act requirements for high-risk AI and compliance timelines 2025-2027
✓Implement GDPR for AI: right to explanation, consent, data minimization, automated decision-making documentation
✓Map your systems to industry standards (NIST AI RMF, IEEE 7000, ISO 42001)
✓Build a reusable Responsible AI ethics checklist and review processes
✓Conduct a complete ethics audit of an AI system using your framework
¿Para quién es?
- •AI Engineers who have completed the path and need the responsibility and compliance framework
- •Tech leads and architects requiring governance documentation and compliance for stakeholders
- •Startups and companies deploying AI in or targeting the EU (EU AI Act applies)
- •Developers who process personal data with AI (GDPR applies)
- •Professionals who want to differentiate with "responsible AI" in proposals and client work
Requisitos
- •Completed AI Engineering Path (or equivalent: RAG, agents, deployment, production practices)
- •Real experience building and deploying at least one AI system
- •Familiarity with ML/LLM concepts (training, inference, evaluation)
- •Understanding of software lifecycle and architecture decisions
Contenido del curso
1Módulo 1: Why Ethics Matters in AI Engineering — Guía para el Creador8 lecciones
2Módulo 2: Bias and Fairness — Detection, Measurement, Mitigation — Guía para el Creador8 lecciones
3Módulo 3: Privacy and Data Protection Fundamentals — Guía para el Creador8 lecciones
4Módulo 4: EU AI Act Deep Dive — Guía para el Creador8 lecciones
5Módulo 5: GDPR for AI Systems — Guía para el Creador8 lecciones
6Módulo 6: Industry Standards and Frameworks — Guía para el Creador8 lecciones
7Módulo 7: Building a Responsible AI Framework — Guía para el Creador8 lecciones
8Módulo 8: Proyecto Integrador — Ethics Audit of an AI System — Guía para el Creador8 lecciones
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