---
title: "From zero to deployed on Azure with AI agents"
category: "talks"
date: "2026-06-29"
time: "11:05am-12:05pm"
track: "Track M"
room: "Track M"
speakers: ["Gustavo Cordido"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Track M"
scheduleRoom: "Track M"
scheduleLabels: ["Track M", "Track M", "sponsor", "confirmed"]
---
# From zero to deployed on Azure with AI agents

## Conference Context
- Date/time: 2026-06-29 · 11:05am-12:05pm
- Track/room: Track M · Track M
- Speaker(s): Gustavo Cordido
- Session type/status: sponsor · confirmed

- Track: Track M
- Room: Track M
- Session type: sponsor
- Status: confirmed

## Session Description
What happens when you let AI agents do the building? In this hands-on lab, you'll go from an empty terminal to a deployed app on Azure — with GitHub Copilot CLI and coding agents handling the scaffolding, coding, debugging, and deployment. You'll use the new Azure skills to provision resources and wire up services through natural language, no portal required. This isn't a demo you watch. You'll walk out with a real, working dev workflow you can take straight to your next project.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[gustavo-cordido]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# From zero to deployed on Azure with AI agents ## Conference Context - Date/time: 2026-06-29 · 11:05am-12:05pm - Track/room: Track M · Track M - Speaker(s): Gustavo Cordido - Session type/status: sponsor · confirmed - Track: Track M - Room: Track M - Session type: sponsor - Status: confirmed ## Session Description What happens when you let AI agents do the building? In this hands-on lab, you'll go from an empty terminal to a deployed app on Azure — with GitHub Copilot CLI and coding agents handling the scaffolding, coding, debugging, and deployment. You'll use the new Azure skills to provision resources and wire up services through natural language, no portal required. This isn't a demo you watch.

### Speaker And Company Context
- [[gustavo-cordido|Gustavo Cordido]] — Cloud Advocate & AI Content Engineer at [[microsoft|Microsoft]].

### Topics Covered
- [[coding-agents]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.