Topic-based program

AI training for Excel users: turn hours in spreadsheets into minutes

Full day (about 7 hours) Up to 10 people On site in Istanbul or online 49.900 TL + VAT

AI Training for Excel Users Excel + AI

What is this program?

AI training for Excel users is a full-day, hands-on program in which teams that spend most of their day in spreadsheets learn on their own files to write formulas with ChatGPT, Claude and Microsoft 365 Copilot, clean data, run analyses and automate report production. Participants leave with ready-made prompt patterns and flows they can use at work immediately.

A large share of office work in Turkey still runs on Excel: sales reports, budget tables, stock lists, bonus calculations. ChatGPT is used in the same offices, but the two worlds rarely meet. The person who does not know formulas struggles for hours, and the person who does keeps building the same recurring reports by hand.

Why now

Today's AI tools handle most Excel work conversationally: saying "summarise revenue by region in this table" is faster than memorising function names. This program helps your team build that bridge safely and correctly, and teaches them to tell which job belongs to ChatGPT, which to Copilot and which to a classic formula.

Who is it for?

Teams that live in Excel

Sales operations, finance, planning, HR and reporting teams. Formula knowledge is not required.

Managers who build reports

Anyone who merges, summarises and turns the same report into a presentation by hand every week.

Companies on Microsoft 365

Companies that bought or are considering Copilot licences and want a return on that investment.

Program flow: six modules

Talking takes at most a fifth of the day. The rest is hands-on production on your own files, each module ending with a piece of real work.

01

Describing a table to AI

Sharing data safely, describing table structure, giving context with sample rows. Data protection and company data rules: which file goes in and which does not.

02

Writing formulas and functions

VLOOKUP, IF, SUMIFS and array formulas with ChatGPT and Claude. Having the formula written, explained and debugged. Turkish and English function name pitfalls.

03

Data cleaning and transformation

Fixing messy export files: merged cells, date formats, duplicates, blanks. Writing Power Query steps with AI.

04

Analysis and summaries with Copilot

What Microsoft 365 Copilot can and cannot do inside Excel. Pivot logic, trend summaries, chart suggestions. The division of labour between Copilot and ChatGPT.

05

Report automation

Binding the monthly report to a template: paste the data, let AI write the summary and commentary, turn it into a management deck. Writing simple macros and Office Scripts with AI.

06

Verification and quality control

Catching AI calculation errors: cross-check habits, sample verification, a human approval rule for critical tables.

Real work scenarios

The kind of tasks the day is built around. Yours replace these after the discovery call.

The weekly sales report

A flow that merges data from three sources, summarises it by region and product, and writes the commentary.

The budget variance table

A template that calculates plan versus actual differences, explains the variances and produces the presentation sentence.

Cleaning a messy customer list

Fixing duplicates, formats and missing fields in a dirty list of thousands of rows within minutes.

Tools used

ChatGPTMicrosoft 365 CopilotClaudeExcel + Power Query

Skills come before tools. The current model comparison with prices is on the AI models page.

What the team leaves with

  • A shared library of Excel prompt patterns for the team
  • A method for writing and debugging formulas with AI
  • An automation template for recurring reports
  • A clear division-of-labour rule between Copilot and ChatGPT
  • A safe-use and verification rule for company data

Format and what is included

  • Discovery call: your industry, the team's daily work and the three targets of the day
  • Content built on your own files, not a generic slide deck
  • Full day (about 7 hours) hands-on, on site in Istanbul or online
  • Team playbook with everything built during the day
  • 30 days of Q&A support after the training
  • Certificate of participation

Scopes beyond the standard package (more than 10 people, several locations, half-day or multi-day formats, integration work) are quoted separately.

49.900 TL
plus VAT. Full day, up to 10 people.
The same standard package for every program.
Request a proposal

How it works

1

15-minute call

We talk about the team, the work and whether this program fits. No commitment.

2

Discovery and preparation

A short session with the team lead. The day is built on your real tasks.

3

Training day

Everyone on their own laptop, on their own work, the whole day.

4

30 days of support

Questions that come up while actually using AI at work get answered.

Sefa Aydın, yapay zeka eğitmeni ve danışmanı

Your trainer

Sefa Aydın

AI trainer and consultant. Years of producing design, advertising and software for the Türkiye projects of world-renowned luxury brands, founder of the agency Rebel Co. Group. I use these tools on real client work every day, and I teach what I use.

About me →

Frequently asked questions

Can participants who do not know Excel benefit from this training?

Yes. The goal is not to memorise formulas but to describe the job to AI correctly. Participants without advanced Excel knowledge usually make the biggest leap, because they become able to do work they previously could not.

We have no Copilot licence. Is the training still worthwhile?

Yes. Most of the program runs on ChatGPT and Claude with files and requires no licence. The Copilot module shows you when the tool earns its licence fee, so you can make the purchase decision properly after the training.

Which Excel versions does the training support?

We work with Microsoft 365, Excel 2019 and later. For teams on Google Sheets, the same flows are shown with their Sheets and Gemini equivalents.

Do we have to use our company data in the training?

No. The training can run on sample data sets. The best results come from working on your own masked or anonymised files, and we prepare that together in the pre-training analysis.

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Last updated: 4 October 2026

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