09/04/2026
Generative AI development has moved fast, but building an LLM application is only half the challenge. The harder part is ensuring it performs reliably, safely, and consistently under real-world conditions.
Most LLM applications in production today lack that foundation. Hallucinations go undetected, agentic workflows run unchecked, and vulnerabilities only surface after deployment when the cost of failure is at its highest.
Join Pasan Wickramarathna, Senior AI Engineer at Forevate, for a masterclass on the evaluation strategies that separate production-ready LLM applications from ones that fail silently.
You will walk away with:
✔ A framework for designing and implementing quantitative evaluation metrics for your LLM application
✔ Practical techniques to detect, measure, and minimize hallucinations
✔ Structured red teaming methods to expose vulnerabilities before deployment
✔ Clear protocols for evaluating multi-step AI workflows
✔ Actionable insights from high-stakes domains; healthcare & conversational AI
📅 April 30th, 2026
⏰ 5:00 PM CEST
🖥 Virtual (MS Teams)
👉 Reserve your spot Now: https://bit.ly/register-llm-masterclass