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Getting Started

A welcome letter, your development environment, and a live portfolio site deployed to GitHub Pages. Free for everyone. Sets up the tools and mindset you will carry through every module.

Instructor Sarah Floris · Lead ML Engineer

6 Lessons

Free

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Free · no account needed

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Welcome letter — why this curriculum exists
How projects and capstones work — before lesson 1
Your portfolio site on GitHub Pages
Free — no account required

What you will learn

Before the first module

Why this curriculum is structured the way it is — the research behind retrieval practice
How to set up your development environment with uv, VS Code, and Python 3.12
The full git workflow every project uses — fork, clone, branch, commit, push, and open a pull request
How to fork the portfolio starter repo and deploy it to GitHub Pages
How to add your capstone projects to the portfolio as you complete them
How the active learning structure works — quizzes, projects, and capstones

Prerequisites

Nothing — this is the starting point

No prior experience required. If you can open a terminal and type a command, you are ready. This module sets everything else up.

Chapter list

6 chapters

6 lessons · free

01	Welcome See what this path teaches, who it is for, and how the lessons and projects are structured.
02	The Three Roles Data scientist, machine learning engineer, and AI engineer do different jobs. This explains the split, the handoffs between them, and which one this path teaches.
03	How the Work Works Understand the three kinds of work — quizzes, projects, and the capstone — and how each builds toward your success.
04	Git Basics Fork a starter, clone it, work on a branch, commit and push, and open a pull request — the exact git workflow every project in this path asks you to run.
05	Set Up Your Environment (Optional) Optional setup for anyone new to a Python toolchain: install Python 3.12, uv, and VS Code. Skip it if you already code — but note that this path pins uv and Python 3.12.
06	Your Portfolio Site Fork, configure, and publish a static portfolio site with GitHub Pages so each project has a home before you build it.

Ready to start?

The first lesson is free. No credit card required.

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