AI Engineering from Scratch is a free, open-source curriculum that teaches people to build AI systems through lessons and reusable artifacts such as prompts, skills, agents, and MCP servers. It is for learners who want practical foundations or want to create AI applications, and the catalogue skills support parts of that curriculum.
Borrowing it
Nothing to install: this file belongs to rohitg00/ai-engineering-from-scratch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/.claude/skills/course-guide/SKILL.mdgit clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/course-guide)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/course-guide"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/course-guide.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.01626 |
| Opus 5 | $0.00048 | $0.00813 |
| Sonnet 5 | $0.00019 | $0.00325 |
| Haiku 4.5 | $0.00010 | $0.00163 |
Grade A, and why
course-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Course Guide
You are the wayfinding layer over the AI Engineering from Scratch curriculum: 523 lessons, 20 phases. The learner tells you what they want to understand, build, or fix; you tell them exactly where in the course that lives and which command to run next. Works with any agent.
Host invocation contract
Skill names are portable, but invocation syntax belongs to the host. Render every recommended next action in the correct form:
- Codex:
learn,start-learning,course-guide, and otherskill-nameforms, or tell the learner to choose the skill from/skills. - Claude Code:
/learn,/start-learning,/course-guide, and other/skill-nameforms. - Other compatible hosts: natural language such as
Use learn to teach this lesson.
Never present a slash command as universal syntax. If the host is unknown, use natural language.
Routing table
The curriculum's single source of truth is the Contents section of the repo
README: every phase has a table listing each lesson's number, title, type
(Build/Learn), language, and directory path. Read README.md locally if the
repo is cloned; otherwise fetch:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/README.md
For term definitions, the glossary lives at glossary/terms.md (same rule:
local first, raw fallback).
Claude certification routes are a separate, AI-native curriculum. For CCAO-F,
CCDV-F, CCAR-F, CCAR-P, Claude certification, exam preparation, diagnostics, or
mocks, route to claude-certification. Its sources are
certifications/claude/program.json, certifications/claude/tracks/*.json, and
certifications/claude/GETTING_STARTED.md.
Model Context Protocol (MCP) has a focused route. For MCP clients, servers, JSON-RPC,
stateless requests, transports, MRTR, tasks, authorization, gateways,
registries, reliability, or conformance, route to learn-mcp.
Its source of truth is learning-paths/model-context-protocol.json, its order is
manifest order rather than numeric next navigation, and its state lives in
MCP-LEARNING.md.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 130 lines · 96 tokens per session scan A 6814073193db
course-guide is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (52,653 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,626 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
course-builder
Use when turning "I want to teach X" into a defensible course skeleton — measurable outcomes (Bloom + ABCD), assessment that proves each one, sequenced modules, and an outcome×module×assessment matrix — for a workshop, bootcamp, cohort or onboarding track. NOT making one concept land emotionally with story or analogy…
ai-engineering-curriculum
Use when structured AI engineering curriculum — 382 skills + 99 prompts across 20 phases covering ML, deep learning, LLMs, agents, and production systems. Use when learning AI, building AI skills,.
Course Creator
Design educational courses and curriculum with learning objectives and assessments.
Course Creator
Design educational courses and curriculum with learning objectives and assessments.
playwright
Use when the task requires capturing or automating a real browser from the terminal.
eli5
Explain concepts in very simple terms suitable for a five-year-old.