cs249r_book/courses

MLSysBook Course Websites

This directory holds student-facing course websites built around the MLSysBook curriculum. Course names identify the subject; volume numbers identify the supporting textbooks.

Course paths

Directory	Course title	Supporting textbook
intro/	Introduction to Machine Learning Systems	Volume I
scaling/	Scaling Machine Learning Systems	Volume II
agentic/	Agentic Machine Learning Systems	Volume III
physical-ai/	Physical AI	Volume IV
tinyml/	Tiny Machine Learning	Historical Harvard CS249r offerings and resources
edge-ai/	Edge AI learning path	Volume I and author-maintained hardware materials

The planned public URL pattern is https://mlsysbook.ai/courses/<course>/. A standalone Quarto project renders the course pages locally. The unified site build stages these pages under /courses/ for the existing preview and production workflows.

Course and offering structure

A course's index.qmd provides a brief introduction and links to current and past offerings. Dated offerings use <institution>-<term>-<year> directories:

courses/
├── README.md
├── intro/
├── scaling/
├── agentic/
├── tinyml/
├── edge-ai/
└── physical-ai/
    └── eth-spring-2027/

An offering's index.qmd is the student homepage. It links to its syllabus, schedule, staff information, deadlines, and course policies. Use Quarto source files to generate HTML. Keep dated offering URLs stable when a new term begins.

Content ownership

• The course directory is the single discovery page for hosted offerings, archives, and courses at other institutions. The former community/courses.html address forwards here, preserving filters and anchors. Adopter data still comes from site/community/adopters.yml and its refresh cache.
• The Instructor Hub holds one syllabus for each course.
• The labs directory holds reusable experiments. Course offerings link to those instructions and specify their local deadlines.
• This directory holds the student-facing details of the offerings maintained in this repository. Staff preparation notes stay with their existing materials.

The first planned offering is Physical AI at ETH in spring 2027. Its syllabus is the canonical source for the schedule and policies. The former syllabus location links to this page; reusable lab instructions and staff qualification notes remain under labs/vol4/.

The TinyML archive links historical course websites and verified public resources in their original locations. Course assignments, student projects, and related HarvardX materials are identified separately. It does not mirror the external repositories or replace the original semester websites.

Local build and preview

From this directory, run quarto render to build _build/, or quarto preview to inspect the course website. The explicit render list publishes only student pages; this README and future staff notes are excluded. Cross-project book and lab links use their public URLs. Those destinations require their own deployments.

The unified site post-render hook (site/scripts/build_courses.py) builds this project and copies its output into site/_build/courses/. The site preview and production workflows deploy that artifact alongside the community pages.

courses/scripts/build_directory.py reuses the existing adopter payload and map builder, stages the canonical community stylesheet in ignored _generated/, and embeds a usable directory at build time. The browser then refreshes from the site-root adopters.json, preserving the existing scheduled-update workflow.

The ETH offering uses the official ETH Blue (#215CAF) for course-content accents. Its styles are scoped to the offering; all course pages import the same shared navbar configuration as the volumes.

Shared data refresh

The scheduled site-refresh-stats.yml workflow runs one entry point, site/scripts/refresh_site_data.py, every six hours. It delegates collection to the existing metrics and adopter collectors, then exports stats.json and adopters.json at the site root. Course/institution data is assembled by site/scripts/build_adopters.py from curated site/community/adopters.yml and the generated site/config/adopters-cache.json; do not maintain another list or enter totals in page copy.

The landing ticker, community page, and course directory all fetch the same site-root adopters.json. The Schools view derives its institution and country counts from that payload after deduplication, so its totals and rows change together on page load. Search filters do not change the overall totals. If the refresh cannot be fetched, the directory uses its embedded build-time payload.

School icons are cached in site/config/adopters-icons.json by the same refresh entry point. Curated logos take precedence; other schools use their site icons. Icons are embedded in the shared adopter payload so newly discovered schools can display them without deploying static assets. Collection uses indexed favicons, then the school homepage; unsuccessful requests retain the initials fallback and are retried on the next refresh.

The BUPT seal was extracted from its official international admissions brochure. Manually resolved icons use Tongji's blue footer logo, Ain Shams' current asu.edu.eg domain, and institutional icons from Helwan, HUST's SoICT, and North South's admissions site. Existing cached icons are retained on refresh.

Draft reading links are resolved at render time by shared/scripts/resolve-draft-links.py, called by both the course and instructor projects: Volumes III and IV and the Volume IV labs currently use the working development site because their production routes are not yet published. Course navigation stays relative to this Quarto project. Remove the draft URL overrides when those production routes become available.

Course families and navigation

The directory groups hosted material by course family. Each card links the family overview and its offerings or resources. All course pages share one sidebar (courses in _quarto.yml) that lists every course, so a reader can move between them; the page's table of contents covers its own sections. Offering pages can hide the sidebar when they provide their own local navigation.

Every course overview uses the same sections, in this order, and omits any that do not apply: Overview (#overview), Syllabus and schedule (#syllabus), Materials (#materials), For instructors (#for-instructors), and Offerings (#offerings). The subtitle states the course's status and volume, matching the labels in the directory and the Instructor Hub. A new course family receives a card, a sidebar entry, and an overview page in this form.

The Edge AI page is a learning path through existing textbook and hardware materials, not a dated course offering. Keep its external materials attributed to their maintainers. Add an institutional offering only when its syllabus and student resources are available.

The Physical AI family links to instructors/vol4/index.qmd for reusable teaching guidance. Course rendering resolves this link relative to the combined site. Build and stage the Instructor Hub alongside /courses/ for a complete local preview, and deploy the updated instructor artifact with the course artifact.

Instructor entry point

The main site keeps Instructor Hub at /instructors/. Its landing page starts with a short getting-started note, then one kit per course linking its page here, its syllabus or guide, slides, and hands-on materials. The introductory and scaling courses can run as a two-semester sequence. /courses/intro/ and /courses/scaling/ provide student-facing overviews of the existing curriculum; the instructor syllabi remain canonical. Course packages can combine reusable materials with dated institutional examples.