🤖 Agentic AI for Engineers - How to build and maintain LLM as a Judge🧑‍⚖️

Large Language Models are increasingly used to **evaluate**, **score**, and **audit** the outputs of other AI systems, from code generation to customer interactions and risk assessments. But how can you actually design and maintain an **LLM-as-a-Judge** system that is **trustworthy**, **scalable**, and **aligned with your business goals**? In this **60-minute online interactive webinar**, we’ll explore the **architectural patterns, governance frameworks, and operational practices** that enable LLMs to act as reliable evaluators across domains. You’ll learn: 🧩 **Core Concepts of LLM-as-a-Judge** How evaluators differ from chatbots, copilots, and agents, and what makes them essential for assessing model quality and compliance. 🏗️ **Design & Architecture Patterns** Key patterns for prompt evaluation, reasoning calibration, rubric-based scoring, multi-model arbitration, and continuous feedback loops. ⚙️ **Tools & Infrastructure** Open-source and cloud solutions for evaluator orchestration, logging, monitoring, and performance tracking. 📏 **Governance & Maintenance** Best practices for bias mitigation, rubric evolution, drift detection, and maintaining long-term consistency. 🏢 **Real-World Use Cases** Examples from companies that use “AI judges” to review code, summarize documents, evaluate customer interactions, or enforce compliance. 🎯 **Who should attend?** * AI/ML engineers and data scientists designing LLM evaluation systems * Solution architects and MLOps professionals deploying LLM pipelines * Compliance and model governance leads ensuring fairness and auditability * Anyone curious about how “AI judges” are redefining quality assurance in AI By the end of this session, you’ll know **how to build**, **govern**, and **evolve** an LLM-as-a-Judge framework, and how to apply it to your own AI evaluation workflows. 📅 **Duration:** 60 minutes 🔗 **URL:** https://events.teams.microsoft.com/event/4bb20580-cffe-4322-80d3-dfebab4062ce@d94ea0cb-fd25-43ad-bf69-8d9e42e4d175