HIA 101: AI Essentials
What this seminar helps you do
Avoid getting left behind or embarrassed.
HIA 101 gives you a foundation for using AI at work without guessing, copying random prompt advice, or tarnishing your reputation.
Learn where AI can help draft, organize, summarize, plan, and think through work.
Understand how context, role, task, format, and standards change the quality of what AI gives you.
Learn when to check, revise, challenge, or ignore AI output.
This seminar is for you if
You are getting started or aren't positive you understand the fundamentals.
This is not technical. It is for people who need to understand how AI fits into corporate life, not build a tech stack.
- ✓You have access to AI tools but are not sure where to start.
- ✓You want practical guidance, not gimmicky prompt tricks from the internet’s loudest influencer.
- ✓You need to use AI for real work like writing, planning, organizing, reviewing, or decision support.
- ✓You want to understand risks, limits, and common mistakes before they become your problem.
What we’ll cover
A useful foundation for using AI at work.
You will leave with a clearer mental model for what AI can do, how to direct it, and how to use it without lowering your standards or risking your reputation.
A plain-language overview of how AI behaves, why it gets things wrong, and why that matters at work.
How to give AI enough context, direction, constraints, and examples to produce something useful.
How to revise, check, shorten, reshape, and improve the first answer instead of accepting it as finished.
Common use cases for writing, planning, summarizing, organizing messy information, and creating first drafts.
What to watch for with privacy, accuracy, confidential information, bias, source quality, and overreliance.
Simple ways to use AI as a thinking and drafting partner while keeping human review in charge.
Why this seminar is different
Built by professionals, for professionals.
HIA 101 focuses on how to think and work with AI, not how to memorize a pile of prompts.
You learn how to frame the work, not just copy a template.
The focus is on work outcomes, not tool features.
AI supports the work. It does not replace the person responsible for it.
HIA methods work across ChatGPT, Copilot, Gemini, Claude, and whatever gets rebranded next week.
Taught by people who use AI in real work.
Practical AI training that is actually helpful.
HIA teaches AI the way professionals actually need to use it: inside messy work, tight timelines, unclear inputs, and real quality standards.
Our approach is simple: start with the work, then decide how AI should help. That means no hype, no tool worship, and no pretending one magic prompt solves everything.
Common questions
Questions to ask before handing AI your work.
Maybe. Using AI and understanding it are not the same thing. If you already understand how AI works, why it gives uneven answers, how to guide it, and where its limits are, you may be ready for Prompting I.
Most tools are marketed around features: faster drafts, summaries, meeting notes, search, automation. Those can be useful, but they do not explain the deeper issues that affect your results: how these systems are built, why they miss things, why they sound confident when they should not, why context matters so much, and why the economics behind the models impact performance.
HIA 101 is for people who want the foundation underneath better use, not just another set of tips. If AI still feels random, overconfident, generic, or harder to control than it should, this class is probably the right place to start.
Because AI is easy to try and harder to understand.
Most people can open ChatGPT or Copilot and get something back. The harder part is knowing why the answer worked, why it failed, what to change, and when the output needs a human check.
The companies building these tools usually talk about features. They do not spend much time explaining the constraints, tradeoffs, architecture, or economic incentives that shape how the tools behave. HIA 101 explains the essentials in plain English so you can use AI with clearer expectations and better control.
It is practical. The class explains the basics only so you can use AI more effectively in real work.
You will learn why AI gives incorrect answers, how to give it better direction, and how to avoid wasting time fixing output that missed the point. You will also understand an important reality: AI is designed to produce useful responses, not perfect ones. That difference matters if you are using it for work that carries your name.
No. This class is built for experienced professionals, including leaders, managers, and senior individual contributors who want a clear foundation without technical jargon.
If you lead people, review work, or make decisions, you need to understand enough about AI to know where it helps, where it fails, and what kind of human oversight still matters. The point is not to teach you your job. The point is to help you understand how AI fits into the work you already know how to do.
You will learn why random chatbot answers happen and what you can do about them.
HIA 101 covers how AI responds, why context matters, where polished output can still be weak, and how to stay in control of the work. If you want deeper practice steering AI toward better results, Prompting I is the next step.
Most people should take Prompting I next. HIA 101 helps you understand what AI is doing. Prompting I helps you get better results by giving AI clearer direction, better context, and useful feedback.
Start with the foundation.
Learn how to use AI with more clarity, better habits, and stronger judgment before you try to build anything more advanced on top of it.
Reserve your seat