ai-engineering-from-scratch

Learn it. Build it. Ship it for others.

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Open-source 523-lesson, 20-phase AI engineering curriculum that builds math, transformers, LLM apps, agents, MCP and Agent Skills from scratch in Python, TypeScript, Rust and Julia. Ships installable Agent Skills (npx skills add) so a coding agent can tutor you lesson by lesson.

Use Cases

Learn AI engineering fundamentals from scratchBuild LLM applications and prompt pipelinesBuild AI agent loops and multi-agent swarmsLearn and implement Model Context Protocol (MCP)Author and ship Agent Skills for coding agentsImplement transformers, tokenizers and backprop by handPrepare for Claude certification examsStudy math foundations for MLPractice evaluation and reliability engineering for LLMsUse coding agents on real repositoriesFollow structured learning paths in Python, TypeScript, Rust, Julia

Built With

Language: Python
Frameworks: PyTorch · Transformers · NumPy · scikit-learn · pandas · Jupyter · Matplotlib · Hugging Face Datasets · Tokenizers · Accelerate · OpenAI SDK · Anthropic SDK · librosa · tiktoken

ai-engineering-from-scratch

Use Cases

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