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World Congress 2025 • Aug 20, 2025 • Session details

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents

Marcel Scherenberg

Could you replace weeks of infrastructure planning with a single prompt? Learn how multi-agent AI workflows turn natural language into secure, deployable Terraform code in minutes.

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#1 about 3 min

Transitioning from deep learning models to foundation software

How the focus of AI engineering shifted from writing custom deep learning networks to building specific solutions atop predefined foundation models.

#2 about 3 min

Navigating the expansive Azure data and AI ecosystem

Addressing the complexity and choice paralysis customers face when presented with a vast and rapidly changing cloud architecture landscape.

#3 about 2 min

Aligning cloud technology adoption with core business problems

Why organizations must start with defining their specific business needs rather than provisioning AI and cloud technologies merely for the sake of adoption.

#4 about 4 min

The traditional iterative process for cloud infrastructure deployment

How cyclical communication loops among stakeholders, cloud architects, and engineers create implementation friction and severely delay production readiness.

#5 about 2 min

Accelerating initial deployments using AI generation agents

Reducing workflow latency and communication costs by employing AI agents to translate natural language into reliable, exploratory cloud infrastructure.

#6 about 2 min

Structuring multi-agent orchestration for cloud automation tasks

Decomposing complex requirements into specialized task-specific agents and routing supervisors using advanced programmatic execution frameworks.

#7 about 4 min

Designing an agent workflow for infrastructure as code

Assigning engineering and architect personas to autonomous agents to actively generate, validate, and mediate reliable infrastructure templates.

#8 about 3 min

Live demonstration of an AI infrastructure provisioning portal

Initiating a simple natural language prompt to autonomously architect a secure file-sharing web portal with stringent GDPR compliance.

#9 about 3 min

Handling deprecated infrastructure code through agent consultation loops

Observing an engineering agent independently trigger Bing search tools to dynamically replace outdated terraform provider arguments encountering breaking changes.

#10 about 3 min

Validating and applying Terraform templates via DevOps agents

Reviewing the autonomously generated architectural plan, cost estimates, and codebase before committing action and triggering deployment into an Azure resource group.

#11 about 3 min

Best practices for implementing reliable AI agent frameworks

Defining clear operational boundaries for autonomous execution scopes while deliberately integrating human expert validation for safe production rollouts.

Matching moments

5:36 min

Accelerating infrastructure as code with generative AI

Christian Denich Christian Denich +1 · WWC 2024

1:13 min

Accelerating project scaffolding with Azure Developer CLI

Maxim Salnikov Maxim Salnikov · WWC 2025

1:13 min

Managing AI development with Azure AI Foundry

Ricardo Ricardo · WWC 2025

3:20 min

Hard science and infrastructure enabled by artificial intelligence

Christian Nagel Christian Nagel +3 · WWC Europe 2026

2:20 min

Best practices for deploying safe infrastructure AI agents

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

2:07 min

Prompting AI agents for successful application infrastructure changes

Nikita Shamgunov Nikita Shamgunov · WWC 2024

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