Work Through AI,
Not Beside It
Hands-on training that teaches infrastructure engineers how to work through AI, not beside it. Deploy real Azure environments. Understand what you built. Learn where the trust boundary is.
Makes Smart People Faster
Need to deploy Azure infrastructure fast?
Your team is past portal clickops but not ready for full CI/CD maturity. You need compliant environments deployed now, built on Microsoft standards, without waiting months for pipeline buildout. This training gets your team from zero to three production-ready Azure environments in two days. All compliant. All using Azure Verified Modules. All deployed by your engineers, not a consultant.
See Course 1: Deploy + Validate →Need your team to trust AI in production?
You keep hearing "use AI to move faster" but nobody's shown your team how to do it without breaking things. The senior engineers don't trust it. The junior engineers can't tell when it goes wrong. Both are right to be cautious. This training draws the line. Your team sees AI deploy, troubleshoot, and validate real infrastructure. They learn exactly where human judgment is still required. They walk out knowing when to trust it and when to stop it.
See Course 1: Deploy + Validate →Three Courses, One Methodology
Each course builds on the last. Start with deployment, add governance, scale to operations.
AI-Orchestrated Infrastructure Deployment
Deploy dev, staging, and prod Azure environments using a command-driven AI interface. Learn the validation methodology. Break things on purpose. Fix them with AI assistance. Walk out with working infrastructure and the method to replicate it.
AI-Orchestrated Policy & Drift Detection
Same methodology applied to Azure Policy, OPA enforcement, and infrastructure drift detection. Graduate from audit to enforce with evidence. Catch portal clickops overnight.
Post-Deployment Management
After the landing zone is live, use AI to add VMs, modify resources, and manage your Azure environment through conversation. The "I built it, now what?" course.
Watch the Methodology
Short videos showing how the training works and what AI-driven infrastructure looks like in practice.
Course 1 Training Preview
A look inside Module 1: AI-Orchestrated Infrastructure Deployment. See the methodology in action before you book a seat.
Watch on YouTube →Natural Language Website Editing
This site was rebuilt using the same conversational AI methodology taught in the training. No templates. Just describe what you want.
Watch on YouTube →Try Before You Train
Live on awacs.ai. Free. No login required. They demonstrate the same engineering thinking behind the paid training.
Bicep Deployment Wizard
8-page guided walkthrough that generates validated Bicep templates and deployment scripts. Enter your subscription name, configure your environment, get deployable code. Client-side only, no data sent anywhere.
builder.awacs.ai →Front9/Back9 Naming Algorithm
Mathematical naming convention that prevents Azure resource collisions at scale. Integrated into the Bicep Wizard. 100% original IP. Zero lookup tables, fully deterministic.
Try the Demo →Cost/Budget Configurator
Generates Azure Cost Management budget alerts, anomaly detection rules, and governance policies. Coming soon.
Coming SoonEnterprise-Grade from Day One
Every environment deployed in AWACS training meets enterprise compliance requirements from minute one.
Microsoft Cloud Adoption Framework
All landing zone architecture follows Microsoft's official guidance. Not suggestions. Enforced by the deployment system.
Azure Verified Modules
All Terraform modules are Microsoft-maintained and validated. Not community modules. Not custom code that breaks on the next provider update.
Front9/Back9 Naming
Mathematical naming convention prevents collisions across all resource types, all environments, all subscriptions. Built into all deployment tooling.
About Dustin Winkler
Dustin spent years building Azure infrastructure automation, backup platforms, and AI-assisted operations systems. His work recently caught the attention of his company's leadership, who recognized it as beyond his current role and initiated a title change process. That recognition validated what this training teaches: how to operationalize AI for infrastructure safely, deploy compliant environments at scale, and recover from production failures with zero physical access.
He built a command-driven deployment system that lets teams without cloud architects deploy production-grade infrastructure in two days. He also created Front9/Back9, a math-based naming convention algorithm to prevent resource collisions, now integrated into his free Bicep Wizard tool.
His methodology adheres strictly to Microsoft Cloud Adoption Framework standards and uses only Azure Verified Modules, ensuring every environment built in this training meets enterprise compliance requirements from day one.
This training is built from real infrastructure work, real production incidents, and real recovery methods.
Interested?
Enrollment open. Dates flexible based on interest. Reach out to discuss fit for your team.