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Hundreds of lessons: videos, walkthroughs, articles, hands-on labs. Free. Organized by the dimension you got marked down on, not by topic alphabet, because that is how you actually use it. Fail scenario_03 on methodology and we send you the hypothesis-driven debugging video, not a 90-minute course on AD.
free, no signup, creative commons by attribution; contributors get cert credit
Short, skim-able, timestamps tied to rubric bands. Pause at the citations to practice.
Article with embedded shell snippets you can copy into a sandbox; linked back to the scenarios it helps.
Hands-on container; linked rubric checks fire as you go; cert credit if you finish under 30 min.
Short, skim-able, timestamps tied to rubric bands. Pause at the citations to practice.
Article with embedded shell snippets you can copy into a sandbox; linked back to the scenarios it helps.
Short, skim-able, timestamps tied to rubric bands. Pause at the citations to practice.
Hands-on container; linked rubric checks fire as you go; cert credit if you finish under 30 min.
Article with embedded shell snippets you can copy into a sandbox; linked back to the scenarios it helps.
Short, skim-able, timestamps tied to rubric bands. Pause at the citations to practice.
The recommendation engine is one join: "show me the top 3 lessons for the dimension this candidate just lost the most points on, in the track they were on, that they have not watched yet." That is the entire algorithm. No vector embedding, no engagement loop, no daily nudge. You watch it, you retry, you pass, or you do not and you watch the next one.
The learn hub is the only product page in this stack we actually advertise inside class. The kids find it on their phone, they retry on monday, they pass.
CTE teacher, vocational HS, brooklyn, 2025library is open, no signup, candidates always free