claude-certification
AI-native tutor and onboarding workflow for the four independent Claude certification tracks in AI Engineering from Scratch. Use when a learner wants to choose a Claude certification, prepare for CCAO-F, CCDV-F, CCAR-F, or CCAR-P, resume a certification path, learn the next lesson interactively, run and verify practical labs, build scored artifacts, take a diagnostic or mock exam, or remediate weak exam domains from GitHub with Claude Code, Codex, ChatGPT, Cursor, or another agent.
Install
git clone https://github.com/rohitg00/ai-engineering-from-scratch /tmp/ai-engineering-from-scratch && ln -s /tmp/ai-engineering-from-scratch/skills/claude-certification ~/.claude/skills/claude-certificationFrom README
Claude Certification Tutor Turn the repository into a step-by-step tutor. Make the learner explain, predict, run, build, and defend each decision. Do not reduce the course to a reading list. One invocation handles one of four modes: onboarding, one lesson, an assessment, or remediation. Resume from CLAUDE-CERTIFICATION.md when it exists. Load the source of truth Prefer a local clone. Locate the nearest parent containing certifications/claude/program.json. Otherwise read files from: Read these files as needed: Program policy and current verification date: certifications/claude/program.json Ordered route and domain map: certifications/claude/tracks/ .json Lesson: /docs/en.md Scenario runner or validator: /code/main.py Tests: /code/tests/test.py Reference artifact: /outputs/ Lesson quiz: /quiz.json Diagnostic and mock: the assessments paths declared by the track Read the selected track JSON at the start of every session. Its lessons array is the route order.