AgenticAiLabs/Ai-Engineering-Roadmap resource

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1063 stars · 196 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity active

developer-tools artificial-intelligence machine-learning deep-learning large-language-models computer-vision reinforcement-learning education tutorials 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

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markdown · JSON · MCP: product_card(name="AgenticAiLabs/Ai-Engineering-Roadmap")