ai-engineering-from-scratch

Getting started

Three ways in. Pick one.

Option A — learn in your terminal (recommended). Install the learning skills into any agent and let the course drive itself:

npx skills add rohitg00/ai-engineering-from-scratch

/start-learning     # interview + placement quiz -> personalized plan in LEARNING.md
/learn              # next lesson, taught interactively: concept -> math -> code -> quiz
/course-guide rag   # "which lessons teach X?" -> exact lessons + links

Lessons stream from this repo as you go — no clone needed. Progress lives in LEARNING.md in your project, so every session resumes where you left off.

Option B — read. Open any completed lesson on aiengineeringfromscratch.com or expand a phase under Contents. No setup, no cloning.

Option C — clone and run.

git clone https://github.com/rohitg00/ai-engineering-from-scratch.git
cd ai-engineering-from-scratch
python phases/01-math-foundations/01-linear-algebra-intuition/code/vectors.py

Cloning also auto-loads the learning skills in Claude Code, and gives every lesson's code to /learn for real execution instead of read-along.

Install course skills into your agent

Two skill sets, two installers:

The learning skills (/start-learning, /learn, /course-guide, /claude-certification, /find-your-level, /check-understanding) live under skills/ and install into any agent with one command — no clone, no Python:

npx skills add rohitg00/ai-engineering-from-scratch

skills writes to whichever directory your agent picks up: .claude/skills/, .cursor/skills/, .codex/skills/, OpenClaw's skills folder, Hermes's bundle path, or any SKILL.md-aware tool. One command, every agent.

The lesson artifacts. The repo ships 388 skills and 99 prompts under phases/**/outputs/; install them via scripts/install_skills.py. Requires cloning the repo. Supports tag filters, dry-runs, and per-agent layouts:

python3 scripts/install_skills.py <target>                                 # every skill, default --layout skills (nested)
python3 scripts/install_skills.py <target> --layout skills                 # same as above, explicit
python3 scripts/install_skills.py <target> --type all                      # skills + prompts + agents
python3 scripts/install_skills.py <target> --phase 14                      # one phase only
python3 scripts/install_skills.py <target> --tag rag                       # filter by tag
python3 scripts/install_skills.py <target> --layout flat                   # flat files
python3 scripts/install_skills.py <target> --dry-run                       # preview without writing
python3 scripts/install_skills.py <target> --force                         # overwrite existing files

<target> is the skills directory for your agent (examples: ~/.claude/skills/, ~/.cursor/skills/, ~/.config/openclaw/skills/, .skills/, or any path your agent reads).

By default the script refuses to overwrite an existing destination and exits with code 1 after listing every colliding path. Use --dry-run to preview collisions or --force to overwrite. Every non-dry-run run writes a manifest.json in the target with the full inventory grouped by type and phase. Pick the layout your agent reads:

License

MIT. Use it however you want — fork it, teach it, sell it, ship it. Attribution appreciated, not required.

Maintained by Rohit Ghumare and the community.