Course Materials

Everything posted for the course, grouped by lecture, with this week’s lab and lectures pulled to the top. See the schedule for due dates and check-in days.

This Week

Nothing posted for this week yet. See the schedule for what’s coming up.

Setup

Environment setup (updated Oct 1, 2026)

• Setup instructions
• requirements.txt
• Environment check notebook

Project

Project brief

• The final project briefshared in Lecture 15

Process log

• The /reflect skill: a process log entry from your words and your git historyshared in Lecture 15

Project proposal

• Proposal templateshared in Lecture 15

Prototype presentations

• Prototype presentation — what to cover

Labs

0Lab 0: Setup

• Lab 0 handout

1Lab 1: Gradient Descentdue 9/9 at 11:59pm

• hw1.ipynb
• testScores.csv
• Solution

2Lab 2: Neural Networkdue 9/16 at 11:59pm

• hw2.ipynb
• mnist.npz

3Lab 3: Language Modeldue 9/23 at 11:59pm

• hw3.ipynb
• names.txt
• words.txt

4Lab 4: Agentic AIdue 9/30 at 11:59pm

• hw4.ipynb

5Lab 5: Backendsdue 10/7 at 11:59pm

• Lab 5 handout
• FastAPI reading: four short pages
• Contract and self-check script

6Lab 6: Frontends and Deploymentdue 10/21 at 11:59pm

• Lab 6 handout
• Starter: a working Lab 5 API, and check.py
• Deploy kit: a Dockerfile to fill in, and a .dockerignore

7Lab 7: Build an App with Agentic AIdue 10/28 at 11:59pm

• Lab 7 handout
• Starter: the Dish Ratings contract and its tests

Lectures

1Course logistics, AoC with AIMon, Aug 31

In class

• Lecture slides

2Gradient descent (linear regression)Wed, Sep 2

Before class

• Lecture videowatch by 9/2
• Lecture slides (skeleton)

In class

• Activity notebook
• testScores.csv
• Activity slides

After class

• Lecture slides (complete)
• Activity solution
• Quiz 1 key

3Backpropagation (neural network)Wed, Sep 9

Before class

• Lecture videowatch by 9/9
• Lecture slides (skeleton)

In class

• Activity notebook
• Activity slides

After class

• Lecture slides (complete)
• Activity solution
• Quiz 2 key

4Broadcasting (neural network)Mon, Sep 14

Before class

• Lecture videowatch by 9/14
• Lecture slides (skeleton)

In class

• Activity notebook
• Activity slides

After class

• Lecture slides (complete)
• Activity solution
• Quiz 3 key

5TransformersWed, Sep 16

Before class

• Lecture videowatch by 9/16

In class

• Activity notebook (optional)
• Activity slides

After class

• Activity solution

6TransformersMon, Sep 21

Before class

• Lecture video 1watch by 9/21
• Lecture video 2watch by 9/21

In class

• Activity handout
• Activity slides

After class

• Activity solution
• Quiz 4 key

7LLMsWed, Sep 23

Before class

• Lecture video — watch 59:23–1:20:32 only (21 min)watch by 9/23
• Reading — OpenAI on GPT-4o sycophancy (5 min)read by 9/23
• Reading — Anthropic on Claude's new constitution (10 min)read by 9/23

In class

• Activity handout
• Activity slides

8Agentic AI (harness, tools)Mon, Sep 28

Before class

• Lecture video 1 — Karpathy, continued: watch 1:20:32–1:41:46 only (21 min)watch by 9/28
• Lecture video 2 — Barry Zhang (Anthropic), How We Build Effective Agents (15 min)watch by 9/28

In class

• Activity handout
• Activity slides

9How to Build Full-stack Web ApplicationsWed, Sep 30

Before class

• Lecture video — Deconstructing Full-stack Web Applicationswatch by 9/30
• Lecture slides
• Setup video — dev containers and Codespaceswatch by 9/30
• Codespace setup — do this before classcomplete by 9/30
• E190BO Codespace Template
• GameShell video — how to start and playwatch by 9/30
• Terminal practice — 30 minutes of GameShellcomplete by 9/30

In class

• Activity notebook
• Activity worksheet

After class

• Activity solution

10Backend: Databases, Servers, and APIsMon, Oct 5

Before class

• Lecture video, part 1 — How a server workswatch by 10/5
• Slides, part 1 — How a server works
• Lecture video, part 2 — From a table to an APIwatch by 10/5
• Slides, part 2 — From a table to an API
• Optional reference — FastAPI, four short pages
• Lecture prep — Learn Git Branching (30 min)complete by 10/5

In class

• Activity notebook — SQL by hand, then through an ORM
• Build-along — notebook setup, then start your Lab 5 API

After class

• Activity solution
• Where the build-along ended (main.py)
• Quiz 6 keyafter class

11Frontend: HTML, CSS, and JavaScriptWed, Oct 7

Before class

• Lecture video, part 1 — What the browser drawswatch by 10/7
• Slides, part 1 — What the browser draws
• Lecture video, part 2 — A page that talks to your APIwatch by 10/7
• Slides, part 2 — A page that talks to your API
• Demo files from both videos, with a README

In class

• Build-along — a page for the idea board, then break the API
• Build-along files: a stand-in API and a starter page

After class

• Where the build-along ended (main.py and web/)after class

12Containers and DockerMon, Oct 12

Before class

• Lecture video, part 1 — An image that runs anywherewatch by 10/12
• Slides, part 1 — An image that runs anywhere
• Lecture video, part 2 — From Compose to Railwaywatch by 10/12
• Slides, part 2 — From Compose to Railway
• Set up your Railway account (10 min)complete by 10/12

In class

• Build-along — ship the idea board in a box
• Build-along files: the idea board, ready to ship

After class

• Where the build-along ended (Dockerfile, .dockerignore, compose.yaml)after class
• Quiz 7 keyafter class

13Deploying Your AppWed, Oct 14

Before class

• Lecture video 1 — Setting up Railwaywatch by 10/14
• Lecture video 2 — Anthropic, What are skills?watch by 10/14
• Lecture video 3 — Building with an agentwatch by 10/14
• Slides, video 3 — Building with an agent
• Optional video — Matt Pocock (AI Engineer), Full Walkthrough: Workflow for AI Coding

14Rapidly Prototyping with AIWed, Oct 21

In class

• Build-along — start Lab 7, and look inside Claude Code
• Lab 7 handout, which the build-along works from

After class

• Lecture video — Building an App with Agentic AI

15Project Launch - Ideation SessionMon, Oct 26

Before class

• The final project brief
• Proposal template
• The /reflect skill: a process log entry from your words and your git history

In class

• Ideation session — from nothing to a problem worth solving

16Developer Tools + AI WorkflowWed, Oct 28

Before class

• Lecture video — Effective Workflows for Building with Agentic AIwatch by 10/28
• Slides — Effective Workflows for Building with Agentic AI

In class

• Build-along — two agents, two previews, one duck
• Build-along files: the Rubber Duck app