A practical training course focused on designing and implementing an AI Governance framework in an enterprise environment, with an emphasis on GenAI, compliance, risk management, and the AI operating model. You will learn how to identify and [...]
  • GOC671
  • Duration 2 days
  • 20 ITK points
  • 0 terms
  • ČR (18 000 Kč)

    SR (720 €)

  • Intermediate

A practical training course focused on designing and implementing an AI Governance framework in an enterprise environment, with an emphasis on GenAI, compliance, risk management, and the AI operating model. You will learn how to identify and classify AI risks, define governance roles and processes, create an AI inventory, and implement appropriate AI controls. The course also covers preparing an organization for EU AI Act requirements and developing a roadmap for implementing AI Governance.

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CIO/CDO office, AI/ML týmy, management, enterprise architekti, risk management, compliance, legal, kybernetická bezpečnost, data governance a produktové týmy.

Po absolvování kurzu budete umět:

  • navrhnout AI Governance operating model,
  • klasifikovat AI systémy podle rizika,
  • vytvořit AI inventory,
  • definovat governance role a procesy,
  • implementovat AI risk management,
  • připravit organizaci na AI compliance,
  • vytvořit roadmapu zavedení AI Governance.

V rámci praktické části školení si vytvoříte:

  • AI Governance framework,
  • AI inventory template,
  • AI risk assessment template,
  • AI Governance RACI model,
  • AI policy checklist,
  • roadmapu zavedení AI Governance.

Příručka ke kurzu firmy Gopas podle programu kurzu.

Den 1 – Základy AI Governance a AI Operating Model

Úvod do AI Governance

  • Proč AI Governance vzniká
  • Rizika GenAI a produkčních AI systémů
  • AI Governance vs. Data Governance
  • AI lifecycle management

AI Governance framework

  • Governance operating model
  • Centrální vs. federovaná governance
  • AI Governance Council
  • AI policies a standards

AI use cases a AI inventory

  • Identifikace AI systémů
  • AI inventory management
  • Shadow AI
  • Third-party AI systems

Workshop

  • Identifikace AI use cases ve firmě
  • Návrh AI inventory
  • Mapování AI systémů
Den 2 – AI Risk Management a Compliance

AI risk management

  • Risk taxonomy
  • Bias a fairness
  • Hallucinations
  • Explainability
  • Security risks
  • Third-party risks

EU AI Act v praxi

  • Risk-based klasifikace
  • High-risk AI systémy
  • Foundation models a GenAI
  • Povinnosti providerů a deployerů

AI controls a governance procesy

  • Human oversight
  • Approval workflows
  • AI incident management
  • Monitoring a observability
  • Auditability a logging

Workshop

  • AI risk assessment
  • Klasifikace AI systémů podle AI Act
  • Návrh AI controls
Den 3 – Implementace AI Governance v produkci

AI Governance v enterprise architektuře

  • AI platform governance
  • MLOps a LLMOps governance
  • Model lifecycle management
  • Vendor governance

AI Governance procesy

  • Onboarding AI systémů
  • Schvalování AI use cases
  • Model monitoring
  • AI change management
  • AI documentation

AI Governance tooling

  • Microsoft Purview
  • MLflow
  • LangSmith
  • OpenMetadata
  • Model cards
  • AI risk registers

Zavedení AI Governance ve firmě

  • Change management
  • AI literacy program
  • Governance maturity assessment
  • Pilot domain
  • Rollout roadmap

Závěrečný workshop

  • Návrh AI Governance roadmapy
  • Governance operating model
  • Definice KPI a ownershipu
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