
Scale AI Agents With Unblocked Web Access - Workshop × MLOps Community
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🤖 Scale AI Agents With Unblocked Web Access
A Hands-On Workshop at The Web Data Loft
No slides. No fluff. You leave with working code.
The reason most AI agents collapse in production isn't the model — it's the infrastructure. Specifically: the inability to access the web reliably and at scale. This hands-on workshop tackles that gap head-on, taking you from one-off lookups to a fully functional data pipeline that continuously feeds agents, copilots, and AI systems with live web data.
🛠️ What You'll Build
A production-ready AI workflow powered by Bright Data APIs — one that pulls live external data, structures it, and routes it into a downstream agent or system. Built to survive the real world.
📋 Agenda
- Setup + Networking — Doors open, get your environment ready
- 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) — Constructing large-scale data pipelines for AI systems
- Common Failure Points — Handling blocks, timeouts, and scale bottlenecks
- Wrap-Up + Q&A
🎯 What You'll Take Away
→ 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 after the event
👥 Who This Is For
- AI Engineers
- Agent Developers
- Data Engineers
- Technical Founders
- Product Engineers building on live external data
⚠️ Intermediate to advanced level — comfortable with Python and APIs required.
💻 What to Bring
Laptop + terminal + browser. Setup instructions will be sent 3 days before the event.
🍺 Perks
- Food & drinks provided
- Limited spots available — secure yours early!
- Hosted at The Web Data Loft
Presented by Bright Data
NOTA: No podemos garantizar la exactitud de la información que proporcionamos sobre este evento. Visite la página web del evento para verificar detalles como fecha, horarios, precios y ubicación.
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