Build an AI workspace
Set up ChatGPT and Codex, organize context, and learn how to ask for explanations and useful work.
Context / questions / reviewPractical AI education / beginner workshops + courses
Learn AI by building something useful.
See what AI can realistically do, complete practical projects with guidance, and learn how to recognize the point where human judgment or experienced technical help still matters.
Ask about the course
Initial consultations begin by phone or contact form.
Built for people who are curious, not already expert
Start with possibilities. Keep your judgment.
The first Midnight Sun course is being developed for business owners, managers, employees, and technically curious beginners. Programming, website-design, and previous AI experience are not required.
The aim is not to turn anyone into a high-level engineer in four evenings. It is to make AI understandable enough to use, review, question, and apply to familiar work without treating every output as automatically correct.
The planned four-evening workshop
Four projects that move from prompt to production.
Create and publish a website
Build, inspect, version, and publish a real project while learning where review matters.
Build / inspect / publishApply AI to business work
Work with marketing, documents, spreadsheets, research, and campaign planning.
Documents / data / researchBuild a small application
Create, test, and deploy a database-backed application with guided AI assistance.
Data / testing / deploymentThe workshop is in development and has not yet been offered publicly. Exact dates, price, access terms, and recorded-course availability are still to be announced.
What useful learning looks like
Leave with a result and a way to evaluate the next one.
Each project is a vehicle for learning how to break work into steps, give AI useful context, make decisions deliberately, and verify that the result actually works.
- 01
Opportunity
Recognize realistic places where AI can help familiar work.
- 02
Explanation
Ask for plain-language reasoning and make the choices visible.
- 03
Privacy
Protect private information and avoid careless access to existing systems.
- 04
Review
Check facts, assumptions, generated work, and technical decisions.
- 05
Verification
Test a result before relying on it in a real workflow.
- 06
Judgment
Know when experienced help is the responsible next step.
40+years programming
Taught from practical use
AI experience backed by technical depth.
Scott Kemp has worked with generative AI virtually every day for approximately three years across software engineering, business systems, research, planning, review, automation, documents, websites, marketing, integrations, and tool development. The course is taught from that working experience, not from a collection of demonstrations.
A business perspective on Scott’s work
Scott’s one of those rare people who actually knows the tech and how to make it work for a real business. Computers, software, the whole stack ... he’s fluent in all of it. But he doesn’t throw tools at you just because they’re shiny. He’s owned companies himself, so he knows the difference between something that solves an actual problem and something that just sounds impressive. That’s a harder skill than people think. One of the smartest people I know, honestly.
Practical AI course questions
Know what the course teaches and what is still taking shape.
The course is still being developed. These answers separate the planned learning experience from details that have not been announced.
No. The planned course is for business owners, managers, employees, and technically curious beginners. Programming, website-design, and previous AI experience are not required.
Open a conversation
Want to hear when the first course is ready?
Tell us whether you are interested in a live virtual cohort, an in-person workshop, private company training, or the future recorded course. We will not pretend an option is available before it is ready.