if you're building ai agents without evaluating them you're shipping blind

hey everyone, sharing something i think will be genuinely useful for this community. most people building agents spend weeks tweaking prompts and swapping models but have no real way to measure what is actually better. it feels like a guess half the time. and most evaluation content out there is either too academic or focused on benchmarks that don't reflect what people are actually building. packt publishing is running a hands on agent evaluation bootcamp on june 27 with ammar mahanna, phd. 4 hours live, everything built on the day. covers component level evaluation, outcome evaluation, LLM as judge, regression pipelines and production evaluation workflows. built specifically for AI Engineers, ML engineers, applied scientists, data scientists and software engineers working with LLM agents in production. python knowledge and basic LLM API familiarity required. certification and 30 days recording access included. link in first comment