---
url: "https://xcademia.com/courses/llmops-evals-monitoring-trust"
title: "LLMOps: Evals, Monitoring & Trust"
description: "Learn LLMOps practices including evaluation, monitoring, and trust for generative AI systems in this mentor-led production-focused course.

"
publishedAt: "2026-03-17T05:37:44.090161+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0031"
level: Practitioner
duration_days: "2"
track: "MLOps & Production AI"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# LLMOps: Evals, Monitoring & Trust

> Learn how to evaluate, monitor, and ensure trust in production-grade generative AI systems. Understand LLMOps practices for reliability, observability, and responsible AI deployment.

## Overview

As organisations move generative AI systems into production, ensuring reliability, safety, and performance becomes critical. LLMOps extends traditional MLOps practices to address the unique challenges of large language models, including evaluation complexity, non-deterministic outputs, and trust considerations.

This programme focuses on the operational aspects of generative AI systems, including evaluation frameworks, monitoring pipelines, and trust mechanisms. Participants learn how to measure output quality, track system performance, and implement safeguards that ensure consistent and responsible AI behaviour.

Through practical exercises, learners design evaluation pipelines, implement monitoring strategies, and build trust mechanisms for production-ready generative AI systems.

## Prerequisites

- Basic programming knowledge (Python or JavaScript helpful)
- Familiarity with generative AI or LLM applications
- Basic understanding of MLOps concepts helpful

## What you will learn

- Understand LLMOps practices for production AI systems
- Design evaluation frameworks for generative AI outputs
- Monitor LLM performance and system behaviour
- Implement trust and safety mechanisms
- Detect and manage issues such as hallucinations and drift
- Build reliable and production-ready generative AI systems

## Skills you will gain

- LLM evaluation frameworks
- Monitoring and observability for GenAI
- Prompt and data quality management
- Trust and safety in AI systems
- LLMOps workflows and pipelines
- Production readiness for generative AI

## Career progression

- AI Engineer
- MLOps Engineer
- LLMOps Engineer
- Machine Learning Engineer
- AI Platform Engineer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**1. What is LLMOps?**

LLMOps is the practice of managing, monitoring, and improving generative AI systems in production environments.



**2. Is this course practical?**

Yes. Participants design evaluation and monitoring pipelines during hands-on exercises.



**3. Why is evaluation important in GenAI?**

Because generative AI outputs are non-deterministic, evaluation ensures quality, reliability, and trustworthiness.



**4. What challenges does LLMOps address?**

Challenges include hallucinations, inconsistent outputs, monitoring complexity, and trust in AI systems.



**5. What roles benefit most from this training?**

AI engineers, MLOps engineers, LLMOps engineers, and AI platform engineers.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0031 |
| Duration | 2 days |
| Level | Practitioner |
| Track | MLOps & Production AI |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [LLMOps: Evals, Monitoring & Trust](https://xcademia.com/courses/llmops-evals-monitoring-trust). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/llmops-evals-monitoring-trust
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt