Learning & resource lists
Courses, guides and curated lists for learning the field. 14 repos, most starred first.
LLMs-from-scratch
The official code for Sebastian Raschka's book, taking you from tokenizing text to pretraining and finetuning a small GPT-like model in PyTorch. Pick it to understand how LLMs work by writing each piece yourself, without external LLM libraries.
#2ai-engineering-from-scratch
Free 20-phase course that teaches AI engineering by building each piece by hand
#3AI-For-Beginners
A free 12-week, 24-lesson course on AI with notebooks, quizzes and labs
#4system_prompts_leaks
A library of system prompts from popular AI chatbots and coding tools
#5dive-into-llms
Free Chinese notebooks and slides for learning to fine-tune, prompt and secure LLMs
#6awesome-claude-code
A curated list of guides, skills, tools and plugins for Claude Code users
#7OpenMAIC
Turns a topic or document into an interactive classroom taught by AI agents
#812-factor-agents
A written guide to twelve principles for building reliable LLM-powered software
#9easy-vibe
A free, multilingual course that teaches AI-assisted coding by building real products
#10awesome-claude-skills
A curated list of Claude Skills, grouped by task, with links to each one
#11reasoning-from-scratch
Code for a book that adds reasoning to a small Qwen3 model in PyTorch
#12llms-txt
A proposed standard for a markdown file that guides AI agents through a website
#13vibe-coding-playbook
Cursor rules, XML prompt templates and a verify script for AI-assisted coding
#14awesome-aeo-seo
Curated reading list on getting cited by AI search engines and on classic SEO