Building and scaling AI applications for Data Scientists and Developers

on YouTube ↗55m

" summary

Live demos show concrete outcomes: a ready-to-run AI app template gallery that scaffolds Python/Flask apps and deploys to Azure with a single cloud command, VS Code + CodeSpaces workflows that generate tests, docs and debugging configs, and the GitHub Copilot for Azure extension that wires editor, CI and cloud. Model work includes training on millions of call stacks from thousands of apps to surface optimization fixes. Some live-test hiccups appear but the demos complete and produce runnable, deployable code.

AI-written summary · about

" chapters (7)

1. 0:00Introduction
2. 3:31Microsoft’s open-source contributions
3. 8:53AI app platform and templates
4. 13:33GitHub Copilot for Azure demo
5. 28:29AI performance for developers
6. 38:46Intelligent apps with GitHub Models
7. 51:34Closing and Q&A

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