Certificate Included
Starting in 1 week
Learn to evaluate
AI AGENTS
Most evals don't reflect how your agents actually behave. This course fixes that.
Enroll for free ↓
Community
+1k
Cost
Free
Units
4
Format
On-demand
Methodology
The reliability gap
Most agent failures aren't random. They're patterns you haven't measured yet. Without a structured eval loop, every change is a guess.
KEY CONCEPT
"If you can't measure it,
you can't improve it"
The old way
The Latitude way
"I tested 5 inputs and it feels okay."
Old way
Batch testing with golden datasets.
Testing strategy
"Vibes. Trust me bro."
Old way
Human in the loop, then LLM-as-Judge.
Metrics
"I tweaked the wording and redeployed."
Old way
Offline regression before every change ships.
Iteration
Curriculum
Module 1
What Is an Evaluation?
Why generic evals fail. The three eval types. Online vs. offline. What data you actually need.
Module 2
Human-in-the-Loop Evals
Human judgment is the ground truth everything else is measured against. Learn to use it without burning your team out.
Module 3
LLM-as-Judge
Automate human-like judgment at scale, without the costs of doing it wrong.
Module 4
Programmatic Rules & The Reliability Loop
Tie it all together. Build a suite that protects your product every time you ship with the fastest, cheapest line of defense and catch structural failures before they reach your users.