
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
NOTE : Nous ne pouvons pas garantir l'exactitude des informations fournies sur cet événement. Visitez le site web de l'événement pour vérifier les détails tels que la date, les horaires, les prix et le lieu.
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