# microsoft/RustTraining

Beginner, advanced, expert level Rust training material

Repository: https://github.com/microsoft/RustTraining
Canonical: https://ross.abutalabs.com/products/rusttraining
Language: Rust
License: MIT
License Family: permissive
Last push: 2026-08-05T03:56:04+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 12
- inputs: {"age_days": 173, "days_push": 28, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14814, forks 1168 (observed 2026-08-28T04:11:07.750851+00:00)

## What it is
A collection of seven Rust training courses from Microsoft covering beginner through expert levels, plus deep-dives on async, advanced patterns, and engineering practices. It is structured as pedagogical books that consolidate knowledge from across the Rust community's books, blogs, and talks.

## Use cases
- learn Rust from scratch
- transition to Rust from another programming language
- deepen understanding of async Rust
- study advanced Rust patterns and internals
- train an engineering team on Rust
- find a structured Rust curriculum instead of scattered resources

## When to choose
- you want structured, course-style Rust training at multiple skill levels
- you need material for onboarding engineers to Rust
- you want curated deep-dives on async and advanced Rust topics

## When to avoid
- you need an authoritative language reference rather than training material
- you want interactive exercises or a compiler-backed tutorial platform
- you need certification or graded coursework

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: programming-languages, tutorials, education, developer-tools
- platform: cross-platform
- tags: rust, training-material, curriculum, async, systems-programming, books

## Member repositories
- microsoft/RustTraining (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:07.750851+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:07:08.521705+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/RustTraining (fetched 2026-08-28T04:11:07.750851+00:00, sha 7c5c2567b9f1)
- Data as of 2026-08-30T08:39:29.467469+00:00.