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Production AI Systems & LLMOps

Design and deploy production-grade AI systems. Learn about monitoring, evaluation, cost optimization, and operational best practices for LLM-powered applications.

Estimated Time 32 hours

Introduction

Design and deploy production-grade AI systems. Learn about monitoring, evaluation, cost optimization, and operational best practices for LLM-powered applications.

4 Lessons
32h Est. Time
4 Objectives
1 Assessment

By completing this module you will be able to:

Implement monitoring and observability for AI systems
Evaluate and compare model performance in production
Optimize inference costs and latency
Build CI/CD pipelines for AI applications

Lessons

Work through each lesson in order. Each one builds on the concepts from the previous lesson.

1

LLMOps: From Prototype to Production

55 min

Start Lesson
2

Monitoring, Observability, and Cost Control

55 min

Start Lesson
3

Scaling AI Applications

50 min

Start Lesson
4

Building Enterprise AI Platforms

50 min

Start Lesson

Recommended Reading

Supplement your learning with these selected chapters from the course library.

📖

Essential Guide to LLMOps

Chapters 1-7

📖

LLMOps

Chapters 1-6

📖

LLMs in Enterprise

Chapters 1-5

Module Assessment

Production AI Systems & LLMOps

Question 1 of 3

Why is monitoring and logging critical for production LLM systems?