Marcel Scherenberg

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents

What if you could deploy an entire Azure environment just by describing it? See how AI agents can turn a simple prompt into validated, version-controlled infrastructure in minutes.

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.

Matching moments

The security challenges of building AI browser agents
06:33 MIN

The security challenges of building AI browser agents

AI in the Open and in Browsers - Tarek Ziadé

Using AI agents to modernize legacy COBOL systems
06:28 MIN

Using AI agents to modernize legacy COBOL systems

Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3

The future of recruiting beyond talent acquisition
03:15 MIN

The future of recruiting beyond talent acquisition

What 2025 Taught Us: A Year-End Special with Hung Lee

Using AI to make work more human, not replace humans
03:31 MIN

Using AI to make work more human, not replace humans

Turning People Strategy into a Transformation Engine

Using AI to enable human connection in recruiting
04:06 MIN

Using AI to enable human connection in recruiting

Retention Over Attraction: A New Employer Branding Mindset

How AI is changing the freelance developer experience
09:10 MIN

How AI is changing the freelance developer experience

WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More

Why corporate AI adoption lags behind the hype
03:28 MIN

Why corporate AI adoption lags behind the hype

What 2025 Taught Us: A Year-End Special with Hung Lee

Using AI to overcome challenges in systems programming
02:49 MIN

Using AI to overcome challenges in systems programming

AI in the Open and in Browsers - Tarek Ziadé

Featured Partners

Related Videos

See all videos
Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure26:35

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact23:33

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 Azure28:53

Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure

Mike

Rethinking Workflows in the Agentic Era27:07

Rethinking Workflows in the Agentic Era

Eric Jadi & Rene Pajta

Building Blocks for Agentic Solutions in your Enterprise23:39

Building Blocks for Agentic Solutions in your Enterprise

Dennis Zielke & Rene Pajta

Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP25:32

Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP

Viktoria Semaan

Agents for the Sake of Happiness39:11

Agents for the Sake of Happiness

Thomas Dohmke

Best practices: Building Enterprise Applications that leverage GenAI24:24

Best practices: Building Enterprise Applications that leverage GenAI

Damir

Related Articles

View all articles
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Stephan Gillich - Bringing AI Everywhere

From learning to earning

Jobs that call for the skills explored in this talk.