Starts hereThe AI Engineering Program
Module 1: AI & Computing Foundations
Git, APIs, environments and the vocabulary of AI: the tools everything else uses.
9guided hours
5lessons
1 of 13in the program
Lessons
5 lessons, in order. Each one unlocks when you finish the one before it.
- 1.1AI vs ML vs DL vs GenAILab: AI landscape mapAssignment: Classify 20 real-world examples as AI/ML/DL/GenAI
- 1.2AI problem framingLab: AI problem framing canvasAssignment: Turn a business problem into ML inputs/outputs/metrics
- 1.3Git/GitHub basicsLab: Version-controlled portfolio repoAssignment: Create repo, branch, commit, pull request
- 1.4Python environment setupLab: Reproducible AI workspaceAssignment: Create venv, install packages, run notebook
- 1.5HTTP, APIs and JSONLab: API data collectorAssignment: Call a public API and save JSON locally
Module project
No portfolio project
This module sets up the toolkit every later project uses.
Your first lesson is on us.
AI vs ML vs DL vs GenAI: deep notes, a hands-on lab and a quiz. No card. No catch.