Halden practicum
Seven hands-on exercises built around one fictional company, Halden Logistics, and the same demo data this kit's tools already use. Each exercise asks you to work a real governance problem by hand, using only a checklist — no AI, no shortcuts — and then check your own answer against this kit's grader.
Who it's for
Anyone studying toward CAMP, CSAM, or AIGP (see the field guide for what each certification actually covers), or anyone who wants practice reasoning through IT asset, framework-mapping, portfolio, access, or AI-governance problems before doing it for real. No prior use of this kit is required — each exercise names the files you need and the checklist to work from.
How long each one takes
30 to 60 minutes, done by hand with the checklist open and nothing else. The rationalization and access-review exercises run toward the long end because their data files are larger; the rest are shorter.
The seven exercises, in order
Work them in order if you're new to all three certifications — each one builds on ideas (crosswalk rows, the checklist habit) the earlier ones introduce. If you already hold one of the three, jump straight to its section.
How self-checking works
Every exercise ends with what you found, entered directly into the interactive practicum page — no installs, no command line, nothing to run. Pick your exercise, enter your answers in its checkboxes and selects, and hit Check. It reports three lists — passed, missed, and extra — comparing what you entered against a fixed answer key, so you get a pass/fail signal without anyone standing over your shoulder.
A note on the answer key
The answer key each exercise is graded against, demo-estate/answer-key.json, sits in this same repository and is not access-controlled. That's a deliberate choice: this practicum is for self-study, not certification, and there's no exam integrity to protect. But reading the key before you've worked the exercise defeats the entire point — you'd be checking whether you can copy an answer, not whether you can find a problem in real data using only a checklist. Do the work first.