
Scale AI Agents With Unblocked Web Access - Workshop ร MLOps Community
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๐ค 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 โ 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.
๐ ๏ธ What You'll Build
A production-ready AI workflow powered by Bright Data APIs โ one that pulls live external data, structures it, and routes it into a downstream agent or system. Built to survive the real world.
๐ Agenda
- Setup + Networking โ Doors open, get your environment ready
- Why Web Access Is Core AI Infrastructure โ The production gap most teams hit after prototype
- Live Demo โ End-to-end agent workflow powered by Bright Data
- Hands-On Build (60โ90 min) โ Constructing large-scale data pipelines for AI systems
- Common Failure Points โ Handling blocks, timeouts, and scale bottlenecks
- Wrap-Up + Q&A
๐ฏ What You'll Take Away
โ A working Bright Data integration inside a real AI workflow
โ A reusable pipeline pattern for continuous web data ingestion
โ A production mental model: when lightweight tools break and why
โ Promo credits to keep building after the event
๐ฅ Who This Is For
- AI Engineers
- Agent Developers
- Data Engineers
- Technical Founders
- Product Engineers building on live external data
โ ๏ธ Intermediate to advanced level โ comfortable with Python and APIs required.
๐ป What to Bring
Laptop + terminal + browser. Setup instructions will be sent 3 days before the event.
๐บ Perks
- Food & drinks provided
- Limited spots available โ secure yours early!
- Hosted at The Web Data Loft
Presented by Bright Data
NOTE: We cannot guarantee the accuracy of the information we provide about this event. Visit the event's website to verify details such as date, opening hours, prices and location.
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