Build Software with AI, ship it to production, and keep it alive.
Most courses stop once something runs on your laptop. This one covers the whole job the way my company does it for clients: plan it properly, architect it, build it with AI doing the heavy lifting, deploy it to Azure, and keep it running once real users depend on it.
It’s the same method my team runs at Accelerate Tech to ship software for our internal systems and our clients, cut down to what one person (or a team) needs to ship one solution.
Plan
Scope the problem properly before AI builds it. Requirements, architecture, picking the right stack, and the decisions that limit rework. This is where most AI projects quietly die.
Build
AI-assisted development done like software development, with Claude Code doing the heavy lifting on top of source control, code review and tests. The AI gives you the speed, and the discipline is what keeps the output trustworthy.
Deploy
Get it off your laptop and into Microsoft Azure, with environments, CI/CD pipelines, secrets handled properly, and a security posture that survives an IT review. This module is the gap between a prototype and a product.
Support
Software earns its keep after launch, so this module covers monitoring, logging, iterating on real user feedback, and measuring the value so you can defend the build to whoever paid for it.
This is for you if:
- You've built something with AI that works on your laptop, and now you need to deploy it to users or clients.
- You want the engineering foundations AI tutorials skip: architecture, pipelines, security, support.
- You'd rather learn the full lifecycle once than collect another folder of prompts and skills.
Waitlist members get the launch price and first access. No payment now.
Everything the tutorials skip.
The course is in production now. The waitlist hears first and pays the least.
Not sure yet? The weekly YouTube builds are the free version of this course. Watch a few, and if the way I work makes sense to you, the course will too.