Course Outline ยท AI Adoption & Basic Development

Zero To Advanced, Taught From Real Builds

A structured path that takes your team from unsure about AI to confidently using it, prompting well, and exploring simple internal tools and automations, paced for non-technical learners.

๐Ÿ“… August 31, 2026 ๐Ÿ‘ค Prepared by Jason ๐ŸŽ“ Built and delivered a full zero to advanced AI course before

Taught The Way People Actually Learn A New Tool

Most AI training either stays too abstract to change how someone actually works, or jumps straight to technical depth that loses a non-technical learner in the first ten minutes. This path is sequenced so each stage only depends on the one before it, understanding what AI actually does before touching an interface, getting comfortable in the interface before prompting seriously, and prompting well before anything gets called advanced. I've built and delivered a complete zero to advanced AI course before, camera taught, hands on projects included, so this isn't a first attempt at explaining these ideas clearly.

Four Stages. Each One Builds On The Last.

A structured learning path your team moves through together, with pacing adjusted per person's role and starting comfort level.

1
Understanding AI Foundation

What AI actually is and how it works in plain language, no math, no jargon, before anyone touches a tool. This is the stage that determines whether the rest of the course sticks.

  • What a language model is actually doing when it responds, in plain terms
  • Where AI is reliable versus where a human still needs to check the work
  • Responsible and effective use in a real work context, not a lab demo
  • Common misconceptions that make people either over trust or avoid AI entirely
2
The Tool Interface Orientation

Hands on with the actual interface, using Claude as the anchor tool, so the concepts from stage one attach to something real instead of staying theoretical.

  • Chat versus an agentic mode versus a coding focused environment, what each is for
  • When a quick chat answers the need and when a longer running task is the right call
  • Basic navigation and the mental model of a conversation versus a task
  • Practice picking the right mode for a real task from each person's own role
3
Prompting Core Skill

The actual skill that determines whether someone gets real value from AI day to day. This stage is workshop style, tied to real tasks each person already does.

  • Being specific, giving context, and stating the actual goal instead of a vague ask
  • Iterating on a response instead of accepting the first answer or giving up
  • Structuring a longer or multi part request so the output is usable, not just fast
  • The most common prompting mistakes non-technical users make, and the fix for each
4
Advanced Features Stretch Goal

For people who want to go further once prompting is second nature, an introduction to what becomes possible without needing to become a developer.

  • Skills and reusable setups, what they are and when one is actually worth building
  • Basic software architecture in plain language, how a few connected systems actually talk
  • Simple internal tools, automations, and connectors explored as real, approachable examples
  • How to recognize when an idea is worth a practical build versus better solved by prompting well

A Learning Path, Not A Fixed Curriculum

The four stages are the shape. Where each person starts and how fast they move through it is personal.

  • A short starting conversation with each team member to gauge current comfort and role specific needs
  • Faster movers skip ahead through stages one and two instead of sitting through material they don't need
  • Exercises built from each person's actual work, not generic examples
  • Plain language throughout, technical terms explained the first time they come up, never assumed
  • Regular check ins to adjust pacing rather than a fixed schedule that ignores how people are actually doing

Want To Walk Through The First Stage Together?

Send a few times you're free and I can walk through how the first session would run with your team before we lock the full path.