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Case studyAI TrainingWorkforce education company, university AI programs

How I taught Upright's live AI automation course and got asked back for the next cohort.

  • 7 weeks

    of live classes, one hour every week

  • Live builds

    from a blank screen, with Q&A

  • Cohort 2

    asked back after the debrief

01The situation

Upright is a workforce education company that runs tech and AI courses with universities, Rutgers among them. Its AI automation course pairs self-paced modules with one live hour a week.

Most learners had already used ChatGPT. What they couldn't do yet was get it to run a task without them sitting there. The live hour had to take a mixed-skill class from a typed prompt to a working automation, and still handle whatever they asked.

02What we built

  • I taught the live hour every week for seven weeks. Upright wrote the curriculum and the slide decks. I ran the demos and the Q&A and kept the class on pace.
  • When learners said a finished build taught them less than watching one come together, I switched to building from a blank screen, live. Sessions covered AI extraction in Zapier, prompts with structured outputs, AI agents, a lead-management agent and scraping LinkedIn with Apify.
  • When someone asked about Claude Code or scraping, I showed it on screen, then brought the class back to the week's material. Between classes I answered questions on Discord.

03The results

  • 7 weeks

    of live classes in the first cohort, starting February 2026

  • Asked back

    to teach cohort 2 after the debrief with Upright's program lead

  • 1 proposal

    an advanced course for learners who wanted to go past the beginner material

Details come from the course onboarding, the class recordings and the post-cohort debrief. Upright wrote the curriculum. I taught it.

People learn AI fastest when they watch a working automation get built and then build it themselves the same day. My team workshops run the same way, on the team's own work.