Learn AI and LLMs from scratch using free resources
This repository is a curated, link-only reference guide that organizes free and low-cost learning materials across the full AI engineering stack, from mathematical foundations through production agent systems. It covers discrete topic areas including linear algebra via 3Blue1Brown, machine learning via Google's Crash Course and Andrew Ng's Coursera specializations, deep learning frameworks such as PyTorch and TensorFlow, and LLM-specific subjects like transformer architecture, fine-tuning, reasoning models, and mixture-of-experts. Claude appears in two places: claude.ai is listed as an LLM chatbot alongside ChatGPT and Gemini, and Claude Code is listed under agentic coding tools alongside OpenAI Codex. The Anthropic API is also listed as an LLM API resource. The collection extends into prompt engineering, RAG, and MCP, reflecting its agentic-AI topic tags. The primary audience is self-directed learners, career changers, and developers building foundational AI knowledge without structured enrollment, as nearly every linked resource is free or freely auditable.
- ✓Open-source license (GPL-3.0)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
- ✓Documented (README)
git clone https://github.com/ashishps1/learn-ai-engineering && cp learn-ai-engineering/*.md ~/.claude/agents/Resumen de Subagents
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ashishps1/learn-ai-engineering es subagents para el ecosistema de Claude AI. Learn AI and LLMs from scratch using free resources Tiene 5.9k estrellas en GitHub y se actualizó por última vez 5mo ago.
¿Cómo se instala learn-ai-engineering?
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Puedes instalar learn-ai-engineering clonando el repositorio (https://github.com/ashishps1/learn-ai-engineering) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
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ashishps1/learn-ai-engineering es mantenido por ashishps1. La última actividad registrada en GitHub es de 5mo ago, con 8 issues abiertos.
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