Why Agentic AI Projects Fail: From Proof of Concept to Production Systems
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📅 Wednesday, May 13 at 7 AM PT
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You’ve seen AI agents work in demos, but most projects stall between prototype and production. In this webinar, we'll break down the gap and what changes when you try to scale agentic systems in the real world.
Register for our webinar on Wednesday, May 13, at 7 AM PT to better understand:
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- Why successful demos don’t always translate to production
- The hidden challenges of deploying agentic systems (cost, observability, guardrails)
- Practical architecture patterns and their tradeoffs
- How to think about reliability, control, and system design
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Not able to attend at 7 am PT? Register anyway and we'll share the recording.
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Thiago Grabe
Data Scientist & ML Engineer | Udacity Mentor
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With 8+ years of experience in Data Science and Machine Learning, Thiago has built AI solutions that drive real business impact. A mentor, project reviewer, and session lead at Udacity across AI, Data Science, and Autonomous Systems programs, he currently works at a consulting firm architecting and delivering end-to-end AI/ML systems.
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