AI Evals for Everyone

A comprehensive guide to evaluations and monitoring in AI systems. Learn systematic approaches that actually work in production.

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Created by

Aishwarya Naresh Reganti & Kiriti Badam

AI Founder & Fortune 500 Advisor (ex-AWS) partners with Applied AI Lead, Ex-Google, Samsung

Course Chapters

WTH are AI Evals?

Understanding why AI evaluation is different and unavoidable

Model vs Product Evaluations

Why benchmarks don't predict  real-world success

The Evaluation Framework

Building your foundation for systematic assessment

Building Reference Datasets

Creating the foundation for systematic evaluation

Implementing Evaluation Metrics

Three approaches to measuring system behavior

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Production Deployment and Real User Behavior

Moving from controlled testing to real users

Production Monitoring Strategies

Smart strategies for evaluating at scale

The Complete Evaluation Process

Your step-by-step implementation guide

Common Misconceptions About AI Evaluation

Avoiding the pitfalls that trip up most teams

Glossary of Terms

Clear definitions for your team's reference

3 Hands-On Chapters on YouTube

The YouTube series includes 3 additional chapters on Building Evals with Arize AI - practical, hands-on tutorials to implement everything you've learned!

Watch Full Playlist on YouTube

Learn from industry experts who've built AI systems at scale

We also run two highly-rated Maven courses taken by 1500+ professionals from companies like Meta, Google, Amazon, Microsoft and more. Building GenAI Systems for beginners and Advanced Evals for practitioners.

Aishwarya Naresh Reganti

CEO & Founder, LevelUp Labs

Kiriti Badam

Applied AI Lead, Ex-Google, Samsung

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