Session

From Theory to Practice: Building Azure AI Landing Zones for Enterprise Scale

Is your organization prepared for enterprise-scale AI deployment? Most aren't – and early infrastructure decisions significantly impact future AI initiatives. This session provides a comprehensive guide to building Azure AI Landing Zones based on Microsoft's proven frameworks and best practices.

We'll dive deep into:
- Essential components of an AI-ready landing zone based on Microsoft's Cloud Adoption Framework
- Detailed exploration of Azure AI Foundry and its enterprise integration capabilities
- Infrastructure as Code approaches using Bicep for consistent deployments
- Reference architecture patterns for security, governance, and scalability
- Practical considerations for implementing enterprise AI infrastructure

You'll leave with:
- A clear understanding of AI Landing Zone architecture principles
- Implementation guidelines based on Microsoft's recommended practices
- Key design considerations for your AI infrastructure
- Strategic insights for planning your AI infrastructure journey

This session bridges theoretical frameworks with practical implementation details, making it valuable for both architects and technical decision-makers. Whether you're planning your AI infrastructure or evaluating your current approach, you'll gain valuable insights to guide your decisions.

Piotr Wachulec

Co-founder @CloudHackers | Founder @TitansForge | Senior Azure Cloud Architect | Microsoft MVP & MCT

Warsaw, Poland

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