Scale AI Agents With Unblocked Web Access - Workshop × MLOps Community

​Most AI agents fail in production for the same reason: they can't access the web at scale. Not a model problem. An infrastructure problem.

​In this hands-on workshop, you'll build a production-oriented AI workflow moving from one-off lookups to a real data pipeline that feeds agents, copilots, and AI systems with live web data continuously and at scale.

​No slides. You leave with working code.

​What you'll build

​A practical AI workflow that pulls live external data through Bright Data APIs, structures it, and routes it into a downstream agent or system, built to survive production.

​Agenda

​Setup + Networking - Doors open, get your environment running

​Why web access is core AI infrastructure - The production gap most teams hit after prototype

​Live demo - End-to-end agent workflow powered by Bright Data

​Hands-on build (60–90 min) - Large-scale data pipelines for AI systems

​Common failure points - Blocks, timeouts, scale bottlenecks and how to handle them

​Wrap-up + Q&A

​You'll leave with

​→ A working Bright Data integration inside a real AI workflow
→ A reusable pipeline pattern for continuous web data ingestion
→ A production mental model: when lightweight tools break and why
→ Promo credits to keep building

​Built for

​AI engineers · Agent developers · Data engineers · Technical founders · Product engineers building on live external data

​Intermediate to advanced. Comfortable with Python and APIs.

​Bring

​Laptop + terminal + browser. We'll send setup instructions 3 days before.

​🍺 Food + drinks · Limited spots · Hosted at The Web Data Loft