Mahesh Yadav
Free Lesson

How to Optimize AI Product Latency when the model is Fast

45 min
Sep 25, 2026 12:00 PM

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What you'll learn

Select the Right Model: Balancing Speed, Cost & Accuracy

Compare Opus, Sonnet, Haiku. Understand latency-cost-accuracy tradeoffs. Choose models by use case, not just capability.

Evaluate Gen AI Applications With Production Metrics

Build evaluation frameworks. Measure latency, accuracy, cost, user satisfaction. Make data-driven deployment decisions.

Design Concurrent Systems & Reduce Queue Time

Master queueing design. Batch requests efficiently. Handle concurrent users. Eliminate time that hides model speed.

Stream Responses & Optimize Frontend Performance

Master response streaming & time-to-first-token optimization. Design frontend for incremental responses. Feel 5x faster.

Why this topic matters

Latency optimization separates mid-level engineers from senior engineers. Few engineers understand how to optimize latency across the full stack: model selection, evaluation frameworks, system architecture, & user experience. Companies pay premiums for engineers who can diagnose why a system feels slow and fix it. Master this topic, & you unlock senior roles at frontier AI companies building products millions use daily.

You'll learn from

Mahesh Yadav

Mahesh Yadav

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

GenAI Leader
Google
Amazon Web Services
Microsoft
Meta
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