# AMAI-GmbH/AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

Repository: https://github.com/AMAI-GmbH/AI-Expert-Roadmap
Canonical: https://ross.abutalabs.com/products/ai-expert-roadmap
Homepage: https://i.am.ai/roadmap
Language: JavaScript
License: MIT
License Family: permissive
Topics: deep-learning, artificial-intelligence, roadmap, ai-roadmap, machine-learning, study-plan, data-science, data-analysis, neural-network, ai
Last push: 2025-09-12T14:59:30+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 41, release rhythm 35, longevity 100
- inputs: {"age_days": 2139, "days_push": 355, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 31218, forks 2584 (observed 2026-08-28T04:11:56.618308+00:00)

## What it is
A set of visual roadmap charts guiding learners through the paths to become a data scientist, machine learning, deep learning, or AI expert, with an interactive version linking to resources for each topic. It is a curated, opinionated study guide rather than software.

## Use cases
- plan a path to become an AI expert
- find what to learn next in machine learning
- study plan for becoming a data scientist
- roadmap for learning deep learning
- guide for transitioning into a data engineering career
- overview of the AI and big data engineering skill landscape

## When to choose
- you want a curated, opinionated overview of skills needed for AI careers
- you are a beginner unsure what to learn next in AI/ML
- you want an interactive checklist with links to learning resources

## When to avoid
- you need hands-on tutorials or code rather than a high-level map
- you want an exhaustive catalog of every AI tool and technique
- you need up-to-date 2024+ content, as the roadmap targets 2022

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: artificial-intelligence, machine-learning, deep-learning, data-science, tutorials
- platform: -
- tags: roadmap, study-plan, career-guide, curated-resources, charts, web

## Member repositories
- AMAI-GmbH/AI-Expert-Roadmap (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:56.618308+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 2026-08-29T16:52:18.887955+00:00, confidence not recorded.
  - readme: https://github.com/AMAI-GmbH/AI-Expert-Roadmap (fetched 2026-08-28T04:11:56.618308+00:00, sha fdf90e45b7bb)
  - homepage: https://i.am.ai/roadmap (fetched 2026-08-29T07:49:46.460263+00:00, sha c7152d4a0453)
  - site_page: https://i.am.ai/roadmap/contributing.html (fetched 2026-08-29T07:49:46.464170+00:00, sha 44b568e5d0e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.