A comprehensive guide to evaluations and monitoring in AI systems. Learn systematic approaches that actually work in production.
Complete all the chapters and take the final certification assessment to earn your certificate.
Understanding why AI evaluation is different and unavoidable
Why benchmarks don't predict real-world success
Building your foundation for systematic assessment
Creating the foundation for systematic evaluation
Three approaches to measuring system behavior
Moving from controlled testing to real users
Smart strategies for evaluating at scale
Your step-by-step implementation guide
Avoiding the pitfalls that trip up most teams
Clear definitions for your team's reference
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 YouTubeLearn from industry experts who've built AI systems at scale
CEO, LevelUp Labs | Ex-AWS
CEO of LevelUp Labs with 10+ years of machine learning experience. Published 35+ research papers at top-tier AI conferences and taught professional AI courses at MIT and Oxford. Passionate about making AI education accessible to practitioners.
Applied AI @ OpenAI | Ex-Google
Member of Technical Staff at OpenAI with over a decade of experience in enterprise AI systems. Specializes in AI-centric infrastructure with experience at Google, Samsung, and Databricks building production-grade AI solutions.
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.
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