# AgenticAiLabs/Ai-Engineering-Roadmap

Path to becoming a self-taught AI Engineer - a curated, open-source curriculum modeled after OSSU.

Repository: https://github.com/AgenticAiLabs/Ai-Engineering-Roadmap
Canonical: https://ross.abutalabs.com/products/ai-engineering-roadmap
License: MIT
License Family: permissive
Last push: 2026-08-21T00:21:21+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 34
- inputs: {"age_days": 477, "days_push": 13, "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 1063, forks 196 (observed 2026-08-28T04:03:26.387297+00:00)

## What it is
A curated, open-source curriculum that lays out a complete self-study path to becoming an AI engineer, modeled after OSSU. It organizes free external resources into ordered tracks covering programming, math, machine learning, deep learning, NLP, computer vision, reinforcement learning, LLMs, agentic AI, RAG, and prompt engineering, capped by a capstone project.

## Use cases
- how to become a self-taught AI engineer without a degree
- free structured machine learning and deep learning curriculum
- roadmap for learning LLMs, RAG, and agentic AI from scratch
- study plan for AI engineering with free resources
- what order should I learn ML, NLP, and computer vision in
- OSSU-style curriculum for artificial intelligence

## When to choose
- You want a free, sequenced, self-paced study path from programming basics through modern LLM engineering
- You prefer community-curated links to courses and resources instead of piecing together your own roadmap
- You are transitioning into AI engineering and need guidance on prerequisites like math and Python first

## When to avoid
- You are looking for runnable software, a library, or a framework rather than a reading list
- You need an accredited certification or instructor-led program with grading
- You already know your learning path and only need specific advanced references rather than full structure

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, computer-vision, reinforcement-learning, education, tutorials
- platform: -
- tags: curriculum, roadmap, self-taught, ossu-inspired, free-resources, agentic-ai, prompt-engineering, rag, open-courseware, study-plan, natural-language-processing, ai-agents, retrieval-augmented-generation

## Member repositories
- AgenticAiLabs/Ai-Engineering-Roadmap (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.387297+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 2026-08-30T06:56:37.507916+00:00, confidence not recorded.
  - readme: https://github.com/AgenticAiLabs/Ai-Engineering-Roadmap (fetched 2026-08-28T04:03:26.387297+00:00, sha 23668be24730)
- Data as of 2026-08-30T08:39:29.467469+00:00.