Viie Edu · Practical AI for Middle Managers

Study AI to do a better job.

This course is for middle managers and experienced professionals who want to use AI in a practical way: test, assign, judge, and then use AI to create real work products.

Start with Lesson 1 How to Learn Effectively

14 lessonsFrom the thinking platform to the actual work product

Two stagesThink with AI → Build with AI

10 to 30 minutes.Short, fast, practical priority

Learn from the real thing.CSV, workbook, meeting notes, decision memo, deck

What can this course help you to do?

The goal is not to make you a "prompt engineer", but to help you become a manager who can use AI in the right place, test the right points, and generate better job results.

Not being guided by AI by fluent phrases. You know how to check the source, separate fact from inference and keep the right level of certainty.

Give the AI a better job. You know how to provide context, boundaries and standards for a good outcome.

Creating real work products Meeting brief, management report, project tracker, decision memo, workbook, executive deck.

The course

The trail is designed according to a simple principle: Learn to think, and then move quickly to reality.

Phase 1
Think with AI
Six foundations

Learn to think and assign to AI

The first six tips help you build judgment before you go into bigger work products.

Lesson 1Where's the AI summary? Lesson 2Is AI looking, writing or doing? Lesson 3Before you assign, what should you say? Lesson 4Is AI knowing, speculating or assuming? Lesson 5The output sounds good, but is it really working? Lesson 6From a request to a workflow with AI

Phase 2
Build with AI
Eight real works.

Using AI to create real work output

From here, each post has only one task to complete. You'll download the source file, follow each step, and end with a usable product.

Lesson 7Create a brief meeting from multiple sources Lesson 8From CSV to Management Report Lesson 9From multiple sources to Project Tracker Lesson 10From data to a decision-making proposition. Lesson 11Turn a Decision into a Communication Pack Lesson 12Building business analysis workbooks Lesson 13From analytics to executive presentation Lesson 14Build your own AI Workbench

How to Learn to Be Tired and Not Lost

You don't have to learn it all at once. Each lesson is designed so that you complete a meaningful part in about 10 minutes.

Read the situation first Don't rush to answer. Try to make decisions as if this is your real thing.

Make a mark Each piece has three or four clear points, focusing only on the current point.

Use the real file. Download CSVs, workbooks or notes and practice right away with AI.

Bring it back to work. At the end of each lesson, replace the sample with one of your real tasks and apply it during the week.

You don't need to optimize every prompt or make every artifact perfect the first time around.

What will you create in the course?

📝

Meeting Brief

The brief before the meeting has status, risk, decision and next check.

📊

Management Report

From CSV to insight, there's evidence and questions to be tested.

📋

Project Tracker

Reconcile multiple sources, keep conflict and accountability clear.

🧭

Proposal for a Decision

Data → solution → exchange → proposal.

✉️

Communication Pack

Same decision, adjusted by the recipient group.

📈

Workbook analysis

The baseline data, the formulas, the analysis and the management perspective.

🎤

Executive Deck

From analysis to decision-making to story.

🧰

Personal AI workbench

Three ways to do AI that you can reuse every week.

What pace will you learn?

I understand enough. Just learn the mental model you need for your job.

Doing a meaningful part Every three to five minutes, you complete an additional product milestone.

Finish with real output. It doesn't end with a quiz. It ends with something you can use.

You've already had work experience. This course doesn't require you to go back to school. It helps you put that experience into how you work with AI.

If a task makes you see this puzzle, then go through the tutorial and focus on the resulting product. If a task makes it difficult, just complete the current milestone.

Not learning AI to talk to AI better. Learning AI to do a better job.