AI Engineering Foundations — Labs

Companion code for the AI Engineering Foundations course. You'll build an ai-engineer-job-digest: a small app that scrapes AI engineering job postings, classifies and summarizes them with an LLM, and emails you a digest.

Setup

1. Install uv.
2. Create the environment:

   uv sync

3. Copy .env.example to .env and add your API keys:

   cp .env.example .env

4. Verify the setup:

   uv run python 1-what-is-ai-engineering/0-uv-check.py

In notebooks, select the repo .venv as the Jupyter kernel.

Modules

• 1-what-is-ai-engineering/ — first LLM calls, scraping and classifying jobs.
• 2-first-portfolio-project/ — from notebook to a structured project.
• 3-interacting-with-llm-apis/ — model parameters, prompting, structured output, and analyzing images and files.

Requirements

• Python 3.12+
• An OpenAI API key (see .env.example for all supported variables)