Marcel Scherenberg
Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents
#1about 3 minutes
The challenge of translating business needs to cloud infrastructure
Broad business requests for cloud and AI adoption create a vast and confusing solution space, often leading to choice paralysis for clients.
#2about 4 minutes
Shifting from technology-first to problem-first AI adoption
Instead of starting with AI technology and searching for a problem, the focus should be on defining a business problem first to create real value.
#3about 3 minutes
The slow and complex manual infrastructure deployment workflow
The traditional process for deploying cloud infrastructure involves a slow, iterative cycle between roles like architects, engineers, and SecOps, often taking weeks.
#4about 3 minutes
How AI agents can accelerate infrastructure deployment
AI agents can accelerate the initial deployment phase by translating natural language business requirements into infrastructure code, reducing communication costs and enabling rapid experimentation.
#5about 4 minutes
Designing a multi-agent system for Azure infrastructure
The proposed multi-agent system mirrors real-world roles like cloud architect, engineer, and SecOps, using tools like the Azure CLI and Terraform to automate deployment.
#6about 7 minutes
Live demonstration of deploying Azure resources from a prompt
A live demo showcases how AI agents collaborate to interpret a natural language request, generate and correct Terraform code, validate it for compliance, and prepare it for deployment.
#7about 3 minutes
Key takeaways for implementing AI agent solutions
Focus on creating real-world value by providing agents with the right tools and knowledge, defining a clear scope, and building modular, reusable solutions.
Related jobs
Jobs that call for the skills explored in this talk.
Featured Partners
Related Videos
Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure
Ricardo
Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact
Oliver Will
Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure
Mike
Rethinking Workflows in the Agentic Era
Eric Jadi, Rene Pajta
Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP
Viktoria Semaan
Building Blocks for Agentic Solutions in your Enterprise
Dennis Zielke, Rene Pajta
Agents for the Sake of Happiness
Thomas Dohmke
Best practices: Building Enterprise Applications that leverage GenAI
Damir
From learning to earning
Jobs that call for the skills explored in this talk.
Senior Azure Data Platform Engineer - Infrastructure for Generative AI Senior Azure Data Platform Engineer - Infrastructure for Generative AI
Allianz Group
Municipality of Madrid, Spain
Remote
GIT
JSON
YAML
Azure
+7
Cloud Solution Architect - Azure Infrastructure - German Speaker
Microsoft Deutschland GmbH
Remote
€77K
Azure
Linux
DevOps
+9
Cloud Solution Architect - Cloud & AI Data, German Speaker
Microsoft
Municipality of Murcia, Spain
Azure
MySQL
PostgreSQL
Data analysis
Cloud Solution Architect - Cloud & AI Data, German Speaker
Microsoft
Municipality of Santiago de Compostela, Spain
Azure
MySQL
PostgreSQL
Data analysis
Cloud Solution Architect - Cloud & AI Data, German Speaker
Microsoft
Municipality of León, Spain
Azure
MySQL
PostgreSQL
Data analysis
Cloud Solution Architect - Cloud & AI Data, German Speaker
Microsoft
Ceuta, Spain
Azure
MySQL
PostgreSQL
Data analysis





