# SkalskiP/courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Repository: https://github.com/SkalskiP/courses
Canonical: https://ross.abutalabs.com/products/skalskip-courses
Language: Python
License Family: other
Topics: computer-vision, deep-learning, deep-neural-networks, machine-learning, mlops, multimodal, transformers, tutorial, natural-language-processing, nlp, generative-model, stable-diffusion
Last push: 2024-04-22T09:19:00+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 89
- inputs: {"age_days": 1249, "days_push": 863, "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 6479, forks 597 (observed 2026-08-28T04:09:43.748084+00:00)

## What it is
A curated collection of links to free AI courses and learning resources, organized by topic, format, difficulty, and price. It covers areas like deep learning, NLP, generative AI, LLMs, and Stable Diffusion from providers such as MIT, Microsoft, and fast.ai.

## Use cases
- find free courses to learn machine learning
- best deep learning course for beginners
- learn about large language models and generative AI
- resources to learn natural language processing
- study path for starting a career in ML
- learn stable diffusion and computer vision
- free AI tutorials and course recommendations

## When to choose
- you want a curated, categorized list of free AI/ML courses
- you're a beginner looking for a structured learning path in AI
- you want courses from reputable sources like MIT, Microsoft, and fast.ai

## When to avoid
- you need interactive course content itself rather than links
- you're looking for paid or certification-track programs
- you need non-AI programming courses beyond the few listed

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision, stable-diffusion
- domain: artificial-intelligence, machine-learning, deep-learning, computer-vision, tutorials
- platform: cross-platform
- tags: awesome-list, curated-courses, free-courses, generative-ai, llm, mlops, education, natural-language-processing

## Member repositories
- SkalskiP/courses (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.748084+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 2026-08-29T17:44:32.834209+00:00, confidence not recorded.
  - readme: https://github.com/SkalskiP/courses (fetched 2026-08-28T04:09:43.748084+00:00, sha f41cd3ff585c)
- Data as of 2026-08-30T08:39:29.467469+00:00.