I want to become an ML engineer who ships and operates models in production

Basic — Build & Structure

Build a House-Price Predictorbeginner

Build a house-price predictor that estimates a home's value from its features

10 sections · Zillow, Redfin, Opendoor

Build a Customer-Segmentation Enginebeginner

Build a customer-segmentation engine that turns a table of customers into named, actionable segments

11 sections · Spotify, Amazon, Airbnb

Structure a Deep-Learning Project the Way Production Teams Dointermediate

Lay out a clean, scalable deep-learning project

3 sections · DrivenData, Docker

Docker for Deep Learning: Containerise Your ML Projectintermediate

Containerize an ML project with Docker

4 sections · AWS, Google, NVIDIA

Advanced — Serve & Operate

Plan a Deep-Learning Project from Scoping to Monitoringintermediate

Scope a deep-learning project end to end

4 sections · Google, AWS, Tesla

Build a Model-Serving Engineadvanced

Build a model-serving engine from scratch — the prediction API, batching queue, and cache behind a production inference service

10 sections · Netflix, Uber, NVIDIA

Ship and Monetise an AI Tooladvanced

Package a Python AI tool into a pip-installable distribution ready for PyPI

11 sections · Cursor, Tabnine, Sentry

Shrink a Neural Network with Quantisationintermediate

Shrink models with quantization

7 sections · NVIDIA, Qualcomm, Apple