Sell Profession-Specific Python Automation Courses

1. 1

   Choose the profession you can speak natively

   The moat is credibility in the vertical: the course for accountants written by an accountant references trial balances and month-end close without translation. If you hold the profession but intermediate Python, that is fixable; the reverse barely is.

2. 2

   Curriculum equals their five worst recurring tasks

   Survey thirty practitioners about the manual work they hate; build modules that automate exactly those (report merging, data pulls, formatting, cross-checks), so every lesson ends with something they can run at work Thursday.

3. 3

   Teach the modern workflow honestly

   Fundamentals enough to read code, AI assistants to draft it, and verification habits to trust it; also teach the workplace realities, like IT policies and never running unreviewed code on production data, which generic courses skip and professionals need.

4. 4

   Price as professional development

   Hundreds, not tens: the comparison is a conference workshop, and many buyers can expense it. Where the profession has continuing-education requirements, investigate approved-provider status, which raises both price and distribution.

5. 5

   Sell where the profession complains

   The subreddits, LinkedIn niches, and association newsletters where practitioners vent about manual work are the channel; a free mini-lesson automating one famous annoyance is the funnel that proves the promise.

6. 6

   Expand as a house of verticals

   The course architecture (five tasks, verification habits, workplace module) templates across professions; add the next vertical with a practitioner partner who brings the credibility you lack there, on a revenue share.

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