Guides, tutorials, and documentation for Ai Engineering.
7 resources totaling 19 minutes of reading. Covers Guides and Tutorials from intermediate to advanced difficulty.
A public companion repository with supporting materials for Chip Huyen’s AI Engineering book and practical AI engineering study paths.
A GitHub cheat sheet of real AI engineering interview questions and answers organized by top AI companies.
Open-source course for building a second brain AI assistant with LLMs, RAG, agents, fine-tuning, LLMOps, and production AI systems practices.
impeccable is a source-backed AI engineering resource. The design language that makes your AI harness better at design.
compound-engineering-plugin is a source-backed AI engineering resource. Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
Use TorchCode to practice PyTorch operators, attention, GPT-style components and ML interview problems in a Jupyter-based training environment today.
Production Agentic RAG Course is a hands-on curriculum for building a research assistant with FastAPI, OpenSearch, LangGraph, local LLMs, tracing, caching, and a Telegram bot.