Research you can trace
Ask better questions, use current sources, and check claims before they become decisions.
Coming soon / launch list open
Stop using AI like a search box.Put it to work.
A practical beginner course for manufacturing, IT, and OT professionals who want to research, build, analyze, and troubleshoot with AI while keeping people in control.
Beginner friendlyWorkflow firstManufacturing grounded
Waitlist open
Get the first AI Foundations course at launch.
The course is coming soon. Join the list and we will email you when the first foundational course is ready.
Course launch updates only. No list selling. Unsubscribe anytime.
practical_ai_foundations.mp4
Ready
Course introduction
See what Practical AI Foundations is built to teach.
Short, self-paced lessons
Learn one idea, then see where it fits at work.
No AI theory detour
Start at the useful layer and define terms as needed.
Human-checked outcomes
Finish with evidence, not a polished guess.
The course promise
Leave with a method you can use Monday morning.
You do not need to memorize every model or become an AI expert. You need enough working knowledge to assign useful work, inspect the result, and decide whether it belongs in your process.
The operating rule
Capture the task. Give it context. Produce something inspectable. Verify it. Save the method when it works.
Prompts that lead somewhere
Turn an ordinary explanation into a clear brief with requirements and a definition of done.
Finished, reviewable work
Build documents, job aids, comparisons, summaries, and data analyses instead of stopping at chat.
Reusable methods
Recognize when repeated work should become a project, template, workflow, or skill.
Safer boundaries
Know what not to paste, where human approval belongs, and when an AI should remain read-only.
Manufacturing relevance
Connect the fundamentals to maintenance, operations, engineering, IT, OT, and frontline support.
Course breakdown
Six modules. One practical progression.
The sequence starts with the mental model, moves into real workflows, and finishes with the judgment needed to use AI safely around important work.
Module 01
Move beyond basic chat
Understand models, products, tools, memory, workflows, and agents without sitting through an AI history lesson.
Know what the system can see, do, and remember.
Module 02
Choose the right tool for the job
Match speed, reasoning, multimodal capabilities, privacy, and cost to the task instead of chasing one “best” model.
Spend more reasoning only where the work earns it.
Module 03
Turn prompts into workflows
Use projects, source files, research, documents, spreadsheets, voice, and reusable instructions to produce finished work.
Goal, context, constraints, format, then verification.
Module 04
Apply it to real plant work
See practical patterns for handoffs, manuals, incidents, downtime data, job aids, and small internal tools.
Start with one narrow problem and one useful outcome.
Module 05
Protect the plant and the data
Use simple boundaries for sensitive information, tool access, prompt injection, human approval, and production risk.
Match permissions and review to the consequence.
Module 06
Stay useful as the tools change
Follow primary sources, test models on your own work, and stop letting every launch reset your process.
Measure reliable work completed, not hype consumed.
Who this is for
Built for people with real work waiting.
- Controls and automation engineers
- Plant IT and OT professionals
- Operations, maintenance, and quality teams
- Manufacturing leaders evaluating AI
- Anyone who has used AI chat but wants a repeatable method
What the course leaves out
No long AI history, transformer deep dive, benchmark dump, or “perfect prompt” theater. The course uses only enough terminology to help you choose, direct, and review the work.
No coding prerequisite
No vendor leaderboard
No unrestricted agent access
No trust without verification
Questions before launch
The short answers.
01Do I need technical or AI experience?+
No. The course starts with the assumption that you know AI chat exists. It defines models, tools, agents, workflows, and skills in plain language as they become useful.
02Is this only for Ignition developers?+
No. The examples are grounded in manufacturing, IT, and OT, but the core method applies to research, documents, data, troubleshooting, and knowledge work across the plant.
03Will this teach unrestricted autonomous control?+
No. You will learn how permissions, approval points, logs, verification, and human responsibility should change with the consequence of the task.
04When will the course be available?+
The first foundational course is in development. Join the launch list and we will email you when enrollment opens.
First course in development
Be first to know when Practical AI Foundations opens.
Join the release list. We will send the launch announcement to your inbox when the course is ready.
Waitlist open
Get the launch announcement.
Enter your email and we will let you know when enrollment opens.
Course launch updates only. No list selling. Unsubscribe anytime.