Cover Image for Workshop: Build Agent Observability (Eval ++) as a FAANG PM
Cover Image for Workshop: Build Agent Observability (Eval ++) as a FAANG PM
8 Went

Workshop: Build Agent Observability (Eval ++) as a FAANG PM

Hosted by Agentic AI Instit.
Registration
Past Event
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About Event

​What you'll learn

  • ​Learn Agent Observability Before Disaster Strikes

​Observe agents before they break the bank, hack other sites.

  • ​Evaluation ++ in Production: Real Case Study

​What to add and how to get them production with real case study.

  • ​Learn How PMs Help (Not Hurt) Agent Performance

​Role of PMs in evaluation to help and not hurt agents.

​Why this topic matters

​Most teams ship agents and hope they work. Silent failures, hallucinations, tool drift, security breaches, cost thousands before anyone notices. Observability isn’t optional; it’s your guardrail. PMs own this: you’re the link between what agents do and what users need. Understanding observability means you can delegate confidently, not nervously. You’ll know when to trust agents, when to retrain, when to escalate.

​About Mahesh Yadav

​Ex AI Product Lead - Google l Meta l Microsoft l AWS | 10k+ Alums

​Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings

Location
https://us02web.zoom.us/j/87932165976?pwd=YFv6R9JbXdhgekYazHoeuak1xmjr6g.1
8 Went