# krishnaik06/Complete-RoadMap-To-Learn-AI

Repository: https://github.com/krishnaik06/Complete-RoadMap-To-Learn-AI
Canonical: https://ross.abutalabs.com/products/complete-roadmap-to-learn-ai
License: GPL-3.0
License Family: copyleft
Last push: 2025-08-19T08:28:53+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 37, release rhythm 35, longevity 27
- inputs: {"age_days": 381, "days_push": 379, "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 1495, forks 423 (observed 2026-08-28T04:04:53.133899+00:00)

## What it is
A curated GitHub roadmap outlining three learning paths for mastering AI in 2025: Data Science/NLP/Computer Vision, Generative AI, and Agentic AI. It links to detailed companion roadmaps with resources, durations, and career outcomes.

## Use cases
- find a roadmap to learn AI from scratch
- plan a data science learning path for 2025
- figure out how to become a generative AI engineer
- learn agentic AI and autonomous agents step by step
- compare AI career paths and how long each takes
- get a structured curriculum for LLMs and prompt engineering

## When to choose
- you want a guided, structured overview of what to learn in AI
- you need curated links to deeper roadmaps and resources
- you are deciding between data science, GenAI, and agentic AI tracks

## When to avoid
- you need runnable code, libraries, or tools
- you want an in-depth course rather than a high-level roadmap
- you need a formal certification or accredited curriculum

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, machine-learning, large-language-models, tutorials, awesome-lists
- platform: -
- tags: roadmap, ai-education, learning-path, curriculum, agentic-ai, generative-ai, data-science, web-server

## Member repositories
- krishnaik06/Complete-RoadMap-To-Learn-AI (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:53.133899+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 2026-08-30T04:33:17.534932+00:00, confidence not recorded.
  - readme: https://github.com/krishnaik06/Complete-RoadMap-To-Learn-AI (fetched 2026-08-28T04:04:53.133899+00:00, sha f60aec780f33)
- Data as of 2026-08-30T08:39:29.467469+00:00.