Global live cohorts for USA, Europe and Australia • 5-year learning access
Artificial Intelligence · Advanced

LLM Engineering for Production

Engineer reliable LLM applications with evaluation, observability, routing and cost controls. Built around guided practice, live feedback and an employer-style capstone, this program helps you turn new knowledge into work you can explain and demonstrate.

✓ Live expert sessions✓ Employer-style projects✓ 5-year access
Original Upskillment abstract learning artwork for LLM Engineering for Production
10 weeksProgram duration
60 hoursGuided learning
7Applied projects
4.7Learner rating

Why choose this course?

LLM Engineering for Production is designed for learners who want to move beyond passive tutorials and become confident applying engineer reliable llm applications with evaluation, observability, routing and cost controls in realistic workplace situations.

How this helps your career

The projects and interview-ready talking points are aligned to AI product, automation, innovation and applied AI roles. You will practise explaining decisions, documenting work and presenting outcomes—the skills hiring teams look for beyond tool knowledge.

Career relevance

AI productautomationinnovation and applied AI

A curriculum built around the job

Upskillment's job-oriented curriculum follows a learn, practise, build and present model. Each stage introduces a workplace problem, guided lab, independent task and portfolio evidence so theory is repeatedly converted into demonstrable capability.

What you will learn

01

Foundations and professional workflow for LLM Engineering for Production

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

02

Core tools: Python and OpenAI

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

03

Applied workflows with LangChain

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

04

Real-world scenarios using LangSmith

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

05

Quality, security, troubleshooting and professional standards

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

06

Capstone: employer-style artificial intelligence project and presentation

Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.

LEARNER STORY
I used one of the workflow frameworks at work before the course even ended. My manager noticed the difference in how I presented the improvement.
Priya S.Operations Lead, Dubai

Certificate & completion

Earn an Upskillment Certificate of Completion after meeting attendance, project and assessment requirements. Your capstone is manually reviewed so completion reflects genuine participation.