From Guesswork to Confidence: A Starter Kit for AI App Testing – FREE WEBINAR
Ever feel like AI testing is like trying to eat soup with a fork? You run the same prompt twice and get two different, ok answers. Now, think about automation – how are you supposed to write a reliable test for that?
Probably speaking (see what I did there?), this webinar is for you.
Forget everything you think you know about pass/fail. We’re diving into the real-world strategies you need to actually measure the quality when testing AI-powered products. As with all my webinars, this isn’t just theory; it’s a set of practical AI testing techniques to get you started.
In this webinar, I’ll show you how to:
Think in Layers: Learn to separate your own code’s logic from the AI’s unpredictable magic. A testable design is crucial when it comes to AI testing, allowing you to test the deterministic “scaffolding” with confidence.
Start with Sanity Checks: Learn how a simple keyword assertion can be your first line of defense in your AI testing toolkit, catching catastrophic failures before they cause chaos.
Create “Golden Datasets”: You can’t measure quality without a benchmark. I’ll walk you through creating a “golden set” of perfect answers that becomes your ground truth for testing AI-powered products.
Build an “AI Judge”: Discover how to use a second LLM to automate your quality checks. I’ll show you how to write a prompt that turns an AI into a reliable, scalable evaluator for your AI test automation.
This session will give you a practical framework & techniques to finally start testing your AI-based product with confidence.
What You’ll Learn About AI Testing
By the end of this session, you’ll have a strategic framework and a toolkit of practical techniques to ensure the products you’re testing are not just functional, but truly effective.
Shift Your Mindset for Better AI Testing: Learn why this field requires moving from “Is it correct?” to “Is the quality acceptable?”
Embrace a Layered Strategy: Understand how to separate testing your code’s logic from evaluating the AI’s performance when testing AI-powered products.
Define “Good” for Your Tests: Discover how to use scoring rubrics and “Golden Datasets” to create objective benchmarks for subjective AI outputs.
Automate Quality with an “AI Judge”: Learn how a second LLM can automate your primary model’s output evaluation, making your AI testing scalable.
Start with Sanity Checks: See how simple keyword assertions can provide a valuable first line of defense against major failures.
Who is this for?
This webinar is designed for Software Testers, QA Engineers, and Developers who are new to testing AI-powered applications. If you’re responsible for product quality and need a practical starting point for AI testing without getting bogged down in data science, this session is for you.