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AI & Machine Learning

LLM Engineering

An engineering program focused on taking LLM-powered features from experiment to production. You will learn the MLOps lifecycle for machine learning and LLMs, experiment tracking, CI/CD, monitoring, and how to build privacy-preserving applications with local open-source LLMs.

Duration
6 weeks
Level
Advanced
Modules
2

Outcomes

What you'll learn

  • Manage the full ML/LLM lifecycle from data to deployment and monitoring
  • Version data, models, and experiments with DVC, MLflow, and Weights & Biases
  • Apply CI/CD practices to ML/LLM pipelines
  • Monitor models for drift, latency, and failure in production
  • Evaluate when to use local open-source LLMs instead of hosted APIs
  • Build and deploy privacy-preserving applications with local LLMs

Prerequisites

  • Professional software experience
  • Familiarity with Python and HTTP APIs

Tools & technologies

  • Python
  • MLflow
  • Weights & Biases
  • DVC
  • Ollama
  • LM Studio
  • LangChain
  • Docker
  • CI/CD

Learning format

Live online sessions, twice weekly, plus recorded replays. Expect 8–10 hours per week, including live sessions, guided practice and project work reviewed by the instructor.

Curriculum

2 modules, in sequence

Expand a module to see its topics, project and estimated duration.

What you will build

Learn by building.

Each project produces working software you can run, explain and show to an employer.

  • MLOps pipeline

    A versioned, tracked, and reproducible ML or LLM pipeline with experiment logging and model registry integration.

    • MLflow
    • DVC
    • Docker

    You can reproduce and iterate on experiments with confidence.

  • Local LLM application

    A privacy-preserving application that runs entirely on a local open-source LLM and integrates with LangChain.

    • Ollama
    • LangChain

    You can ship an LLM feature without relying on external APIs.

Instructor

Who is teaching this program

We publish instructor profiles rather than anonymous mentor cards. The named instructor for the next cohort of this program is confirmed before enrolment — ask an advisor and we will tell you exactly who will teach you and what their background is.

Ask who teaches this cohort

FAQ

Before you enrol

The answers that matter most for this program. The full list is on the homepage.

Ready to build your next skill?

Speak with an advisor and find the learning path that matches your current skills, goals and experience. If none of our programs fit, we will tell you that too.

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