# unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada

Códigos e referências usados na Pós de Engenharia de Software com IA Aplicada

Repository: https://github.com/unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada
Canonical: https://ross.abutalabs.com/products/engenharia-de-software-com-ia-aplicada
Homepage: https://unipds.com.br/org-erick-wendel/?utm_source=github&utm_medium=bio&utm_campaign=bolsa_47&utm_term=&utm_content=perfil_erick
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai, javascript, langchain-js, typescript
Last push: 2026-09-02T23:09:15+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 16
- inputs: {"age_days": 224, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1084, forks 566 (observed 2026-09-03T02:15:20.212660+00:00)

## What it is
A companion repository of code examples, demos, and reference links for the UNIPDS postgraduate program 'Engenharia de Software com IA Aplicada' taught by Erick Wendel and other instructors. It contains TypeScript/JavaScript projects covering AI/LLM fundamentals, machine learning, deep learning, recommendation systems, and web machine learning, organized by course module.

## Use cases
- learn AI and LLM fundamentals as a programmer
- find examples of machine learning in the browser with JavaScript
- study how to build a recommendation system with neural networks
- explore LangChain.js examples for AI engineering
- follow along with a postgraduate course on applied AI software engineering
- see practical demos of TensorFlow.js and Teachable Machine
- learn reinforcement learning and deep learning concepts with code

## When to choose
- you are enrolled in or considering the UNIPDS AI engineering postgraduate course
- you want curated, module-organized examples of applied AI in TypeScript/JavaScript
- you learn best from small demo projects with external reference links
- you want browser-based ML examples like game-playing agents and recommendation systems

## When to avoid
- you need a production-ready library or framework to install via npm
- you want comprehensive standalone documentation rather than course companion material
- you need a permissively licensed codebase you can freely reuse (license is unspecified)
- you are looking for Python-based AI tooling

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, llm-inference, agent-framework, rag, developer-tools
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, education, tutorials, web-development
- platform: browser, cross-platform
- tags: course-materials, postgraduate-course, langchain-js, teachable-machine, tensorflow-js, recommendation-systems, erick-wendel, unipds, brazilian-portuguese, nodejs, typescript, javascript

## Member repositories
- unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:20.212660+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 2026-08-30T06:55:12.435568+00:00, confidence not recorded.
  - readme: https://github.com/unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada (fetched 2026-09-03T02:15:20.212660+00:00, sha d4bb57d2cd90)
  - homepage: https://unipds.com.br/org-erick-wendel/?utm_source=github&utm_medium=bio&utm_campaign=bolsa_47&utm_term=&utm_content=perfil_erick (fetched 2026-08-29T12:57:06.329538+00:00, sha 295694cecd5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.