Name: From YouTube to Search Engine: Building Fully Searchable Video with AI & Azure
Start: 2025-11-12T11:00:00-07:00
End: 2025-11-12T12:00:00-07:00

What if every YouTube video could be searched like Google? In this talk, I walk through how I built a fully searchable YouTube index—quickly and affordably—using AI at every layer of the stack. From extracting and transforming video, to transcribing, chunking, and indexing in Azure AI Search, I’ll show how semantic search makes video content instantly discoverable. The twist? AI didn’t just help me build it—it *built most of it*: frontend, infrastructure, and deployment. Expect a practical breakdown of architecture, tooling, lessons learned, and how you can ship AI-powered search over video without a huge team or budget.

Alec Harrison

Mile High Azure User's Group

Azure Tech Groups

Technology

DevOps

.NET

Professional Development

Microsoft Azure

SQL Azure

New Technology

Cloud Computing

Microsoft

IaaS (Infrastructure as a Service)

PaaS (Platform as a Service)

Linux

Virtualization

Tony Gonzalez

Jeremy Myers

Dallen Campbell

Darren O'Brien

Jose merlin Longin

Mike zandin

**Alec, host of *Engineer In The Loop*, is an engineer focused on AI-native development, search, automation, and the future of human-AI collaboration.**

Through building real projects in public, he explores how AI can evolve from a coding assistant into a full engineering teammate—designing, deploying, and scaling whole systems. His work bridges cloud infrastructure, AI pipelines, and product-building with a hands-on, experimental edge.

From YouTube to Search Engine: Building Fully Searchable Video with AI & Azure

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From YouTube to Search Engine: Building Fully Searchable Video with AI & Azure

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