Corporate Training

Corporate AI training: get your whole team using AI on real work

A full-day, hands-on AI workshop for your company, on-site or online. Content built around your industry and your team's actual daily tasks, not a generic slide deck.

Last updated: 19 September 2026, 26 department and sector programs

What is corporate AI training?

Corporate AI training is a hands-on program, designed for a specific team and industry, that teaches a company's employees to use tools such as ChatGPT, Claude, Gemini and Midjourney on their own real work. The core difference from a generic online course: the content comes from your workflows, the examples come from your files, and participants leave with workflows already built into their own jobs.

Trainer
Sefa Aydın, AI trainer and consultant, Istanbul
Format
Full-day, hands-on workshop, everyone on their own real work
Group size
Up to 10 people per session, larger teams in department-based sessions
Where
On-site in Istanbul or online across Türkiye
Price
Standard package 49.900 TL plus VAT, larger scope by proposal
Programs
26 role, topic and sector programs
Tools
ChatGPT, Claude, Gemini, Copilot, Midjourney, NotebookLM
After the day
Team playbook and 30 days of Q&A support

The risk: shadow AI

Most employees already use ChatGPT or Gemini, but without asking anyone, without protecting company data and without a verification habit. Training that arrives with a ready-made deck is forgotten in two weeks; training built on the team's own work becomes a lasting habit.

What changed in September 2026

GPT-6 Astra (3 Sep) drives a computer on its own and Claude Fable 5.1 (1 Sep) runs long agents. The company question moved from "how do we write a better prompt" to "which process can we hand over". The full day covers that shift; building and measuring an agent on your own process is a separate programme: AI agents training. Model prices and strengths: comparison table.

Sets a standard

Everyone uses the same tools with the same security rules and the same quality bar. Gaps between departments shrink.

Closes the productivity gap

In the same team, the gap between a good AI user and a non-user is huge. Well-built workflows can cut time on reports, proposals and content by up to half.

Reduces data risk

Which data may go into which tool, and whose approval an output needs before publishing, become clear rules.

Who is this for?

Leadership deciding on AI adoption

You know AI matters but need your team to actually adopt it in daily work, not just talk about it.

Marketing, sales and operations teams

Teams that write, plan, report or produce content daily and want AI to speed up that real work.

HR and L&D teams building AI literacy

A single, focused workshop day instead of scattered online courses nobody finishes.

Programs by role, industry and topic

The standard full-day package is the same. What changes is whose work the day is built on: managers, HR, sales, marketing, finance, legal, customer service, operations, software, design, or a topic such as AI literacy, prompt engineering, ChatGPT, Claude, data analysis, content or data security.

By role and department

AI Training for Managers Managers and leaders

AI Training for Managers

AI training for managers is a full-day, hands-on program that helps company leadership and department heads treat artificial intelligence as...

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AI Training for HR Teams Human resources

AI Training for HR Teams

AI training for HR is a full-day, hands-on program in which human resources teams learn to use ChatGPT, Claude and Gemini on their own real ...

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AI Training for Sales Teams Sales teams

AI Training for Sales Teams

AI training for sales teams is a full-day, hands-on program in which sales representatives and sales managers learn to speed up their daily ...

See the program →
AI Training for Marketing Teams Marketing teams

AI Training for Marketing Teams

AI training for marketing teams is a full-day, hands-on program in which brand and marketing teams learn to produce campaign copy, social me...

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AI Training for Finance and Accounting Teams Finance and accounting

AI Training for Finance and Accounting Teams

AI training for finance and accounting teams is a full-day, hands-on program in which finance professionals learn to use ChatGPT and Claude ...

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AI Training for Legal Departments and Lawyers Legal and compliance

AI Training for Legal Departments and Lawyers

AI training for lawyers is a full-day, hands-on program in which in-house legal departments and lawyers learn to use Claude and ChatGPT for ...

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AI Training for Customer Service Teams Customer service

AI Training for Customer Service Teams

AI training for customer service is a full-day, hands-on program in which support, call center and customer experience teams learn to use Ch...

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AI Training for Operations and Supply Chain Teams Operations and supply chain

AI Training for Operations and Supply Chain Teams

AI training for operations and supply chain is a full-day, hands-on program in which operations, procurement, logistics and planning teams l...

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AI Training for Software and IT Teams Software and IT

AI Training for Software and IT Teams

AI training for software and IT teams is a full-day, hands-on program in which development, test and systems teams learn to set up code gene...

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AI Training for Design and Creative Teams Design and creative

AI Training for Design and Creative Teams

AI training for design and creative teams is a full-day, hands-on program in which graphic designers, art directors, video editors and conte...

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AI Training for Call Center Teams Call center teams

AI Training for Call Center Teams

AI training for call center teams is a full-day, hands-on program in which customer representatives and team leaders learn to speed up their...

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By industry

AI Training for Real Estate Companies Real estate

AI Training for Real Estate Companies

AI training for real estate companies is a full-day, hands-on program in which real estate agents and office managers learn to speed up thei...

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AI Training for E-Commerce Companies E-commerce and retail

AI Training for E-Commerce Companies

AI training for e-commerce companies is a full-day, hands-on program in which teams selling on marketplaces and their own sites learn to tur...

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AI Training for Tourism and Hotel Businesses Tourism and hotels

AI Training for Tourism and Hotel Businesses

AI training for tourism and hotel businesses is a full-day, hands-on program in which hotel, agency and tour company teams learn to speed up...

See the program →
AI Training for Healthcare and Clinic Businesses Healthcare and clinics

AI Training for Healthcare and Clinic Businesses

AI training for healthcare and clinic businesses is a full-day, hands-on program in which the administrative, patient relations and marketin...

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AI Training for Law Firms Law firms

AI Training for Law Firms

AI training for law firms is a full-day, hands-on program in which lawyers, trainees and firm staff learn to speed up their daily work with ...

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AI Training for Accounting and Tax Advisory Firms Accounting firms

AI Training for Accounting and Tax Advisory Firms

AI training for accounting and tax advisory firms is a full-day, hands-on program in which certified accountants, accounting staff and firm ...

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AI Training for Advertising and Digital Agencies Agencies

AI Training for Advertising and Digital Agencies

AI training for agencies is a full-day, hands-on program in which the account management, content, creative and performance teams of adverti...

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AI Training for Manufacturing and Industrial Companies Manufacturing and industry

AI Training for Manufacturing and Industrial Companies

AI training for manufacturing and industrial companies is a full-day, hands-on program in which the sales, procurement, quality, HR and mana...

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By topic

AI Literacy Training AI literacy

AI Literacy Training

AI literacy training is a full-day foundation program that gives all employees of a company a hands-on grounding in what artificial intellig...

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Corporate ChatGPT Training ChatGPT training

Corporate ChatGPT Training

Corporate ChatGPT training is a full-day, hands-on program in which company teams learn on their own daily work to use ChatGPT not as a pers...

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Claude Training for Companies Claude training

Claude Training for Companies

Corporate Claude training is a full-day, hands-on program in which company teams learn to use Anthropic's Claude models (Sonnet 5, Opus 5, F...

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Corporate Prompt Engineering Training Prompt engineering

Corporate Prompt Engineering Training

Prompt engineering training is a full-day, hands-on program in which teams learn on their own work how to get consistent, high-quality resul...

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AI Data Analysis and Reporting Training Data analysis and reporting

AI Data Analysis and Reporting Training

AI data analysis and reporting training is a full-day, hands-on program in which teams from different departments learn on their own data to...

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AI Content Creation Training Content creation

AI Content Creation Training

AI content creation training is a full-day, hands-on program in which content, social media and communications teams learn to set up the end...

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Data Security and Privacy Training for AI Use Data security and privacy

Data Security and Privacy Training for AI Use

Data security and privacy training for AI use is a full-day program in which companies' employees learn hands-on which data they may enter i...

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AI Training for Excel Users Excel + AI

AI Training for Excel Users

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 f...

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The five skills your team must leave with

Content changes from company to company, but the core skill set is largely settled in 2026. Ask any corporate program to cover these five.

01

Prompt writing

Explaining the task with context, role and examples is a learnable skill and the biggest source of the productivity gap. Basics are in the free prompt library.

02

Tool to task matching

ChatGPT and Claude for text and analysis, Gemini for research, Midjourney for visuals. Everyone knows which job goes to which tool.

03

Data privacy

Which customer, contract and financial data may enter a tool, business vs personal accounts, and KVKK responsibilities.

04

Verification habit

AI output is a draft. Checking numbers, sources and names is always a human job. Without this habit a wrong document leaves the company one day.

05

Department workflows

Sales tries the proposal draft, marketing the campaign copy and visual brief, HR the job post and interview summary, all on real files.

Why not a generic AI seminar?

Generic seminarThis workshop
ContentSame slides for every companyBuilt from your team's real daily tasks
FormatPassive listeningEveryone works hands-on, on their own laptop
Outcome"AI awareness"A team that opens a real work item and uses AI on it, day two
After the day endsNothingTeam playbook + 30 days of Q&A support

What a workshop day looks like

A sample agenda for a marketing and sales team. Talking takes at most a fifth of the day, the rest is production at the screen.

09:30

Opening and rules

Accounts checked, the day's three targets set, data privacy rules agreed in 20 minutes.

10:00

Prompt lab

Everyone rewrites one real task as a proper prompt: role, task, context, format, constraints. Results compared side by side.

11:30

Department workflow 1

Sales builds a proposal draft workflow from its own last three proposals, marketing builds a campaign brief workflow.

13:30

Department workflow 2

Reporting, customer emails or visual production with Midjourney, depending on what came up on the discovery call.

15:30

Verification and quality

Each participant checks a colleague's output for numbers, sources and tone. The approval rule before publishing is written down.

16:30

Playbook and next 30 days

Everything built goes into the team playbook. Each person commits to one workflow they will use next week.

Sample scenarios by industry

The tools are the same, the work is not. These are the kinds of real tasks the day is built around.

E-commerce and retail

Product descriptions in bulk, campaign visuals, customer service reply templates, review analysis.

Real estate

Listing texts in several languages, investor presentations, WhatsApp follow-up flows, market summaries.

Agencies and creative teams

Brief to concept in minutes, Midjourney and video pipelines, client reporting, social media calendars.

Law, accounting and consulting

Document summaries, first drafts of contracts and opinions, client email flows, strict data privacy rules.

Manufacturing and B2B

Proposal and tender drafts, technical document translation, sales presentations, meeting summaries.

Tourism and health

Multilingual guest communication, package descriptions, review responses, content for international markets.

What's included

  • Discovery call to map content to your industry and tasks
  • Sample files and real scenarios collected before the day
  • Full-day, hands-on workshop, on-site (Istanbul) or online
  • Everyone works on their own real work throughout the day
  • Team AI playbook delivered after the session
  • 30 days of follow-up Q&A support
49.900 TL + VAT, full day, up to 10 people Request a Proposal

Formats and 2026 price bands in Türkiye

Four main formats exist on the market. Once a team passes five people, the corporate format almost always wins on cost per person.

FormatDurationWho it suits2026 price band
Online video course4 to 10 hours per personIndividual basic awareness1.000 to 15.000 TL per person
Open-enrolment workshopHalf or full dayMixed groups from different companies3.000 to 10.000 TL per person
Corporate hands-on training (this page)Full day, one teamTeams of 5 to 15 working on their own tasks40.000 to 100.000 TL + VAT. Mine: 49.900 TL + VAT
Multi-day transformation program2 to 6 days plus follow-upCompanies transforming several departments100.000 to 250.000 TL + VAT, custom proposal

The gap between a cheap and an expensive proposal is usually this: the cheap one is a ready-made deck, the expensive one includes scenario work on your company, hands-on practice and follow-up. Judge cost per person and measurable gain, not the total. Individual options are compared on the consulting page.

How the process works

01

Discovery call

Free short call: which departments join, which workflows are targeted, what tools and licences exist.

02

Needs analysis

You fill in a short online needs analysis form (team, tools, expectations), then sample files and real scenarios are collected. The curriculum is built from these, not from stock slides.

03

Workshop day

Full day, hands-on, on-site or online. Every participant leaves with at least one workflow built into their own job.

04

Follow-up

Team playbook delivered, 30 days of Q&A support, and a short check-in 2 to 4 weeks later to fix what got stuck.

Typical mistakes when buying training

  1. Buying a one-off motivation talk. It inspires, but nobody works differently on Monday. Without practice and follow-up the budget is mostly wasted.
  2. Planning training without tool access. Business accounts must be ready before the day. If licences come later, what was learned is forgotten before it is applied.
  3. Putting everyone in one class. Sales, accounting and design need different things. Department-based sessions beat large mixed groups.
  4. Measuring completion rate. A mandatory video marked 100% complete in the HR panel can mean zero behaviour change. Measure use and time saved.
  5. Ignoring the trainer's production record. Does the trainer produce with these tools every day in their own work? If not, the content stays theoretical.

How to measure the return

The only way to defend the training budget in front of management is to measure. Record the current time for 2 or 3 tasks before the program and measure the same tasks again 4 to 6 weeks later.

  • Weekly active use: what share of the team uses the tools regularly?
  • Time change on selected tasks: how many hours dropped on proposals, reports or content?
  • Quality indicator: did the share of work sent back for revision go up or down?
  • Employee feedback: a short survey on whether the workflows actually help.

Start small and measurable: one department, its 2 or 3 most time-consuming tasks, one pilot day. Then roll the working workflows out to other departments step by step.

Get a proposal for your team

Tell me your team size and industry, and I will prepare a tailored agenda and proposal for you.

Your details are used only to reply to you. See the privacy notice.

Frequently asked questions

I want to give my employees AI training, where do I start?

Start with a short discovery call: which department, which daily tasks, how many people. Then a full-day hands-on workshop built for your team (up to 10 people, 49.900 TL plus VAT), followed by a team playbook and 30 days of support. The training needs analysis form on this page is the fastest first step.

How do I choose a trainer for employee AI training?

Look for five things: the session runs on your team's real work rather than a generic demo, content is built per department, there is a written data privacy and KVKK rule, support continues after the day, and the trainer has verifiable corporate references. Ask for a sample agenda before you decide.

Who is corporate AI training for?

Teams of any size up to 10 people per session: marketing, sales, operations, customer service or leadership teams who want to use AI tools on their actual daily work, not just watch a generic demo.

How much does corporate AI training cost?

My package is 49.900 TL plus VAT for a full day with up to 10 people, including the discovery call, content preparation, the team playbook and 30 days of Q&A support. In the 2026 Türkiye market a full-day hands-on team training typically ranges from 40.000 to 100.000 TL plus VAT; half-day awareness sessions are cheaper and multi-day transformation programs go above 100.000 TL.

Is the content the same for every company?

No. Before the session, we have a short discovery call about your industry and your team's daily tasks. The workshop is built around real examples from your business, not a generic slide deck.

Can the training happen at our office?

Yes, on-site at your office in Istanbul, or fully online. Both formats run the same full-day, hands-on structure. Outside Istanbul, on-site is possible with travel costs added to the proposal.

Online or in person, which works better?

Both work because everyone is on their own screen anyway. If the team sits in one location, a full day in person is the most efficient. For distributed teams, two half-day online sessions usually give better focus.

What is covered in a full day?

Practical use of ChatGPT and Claude for daily work, prompt writing that actually works, data privacy rules, a verification habit, AI-assisted content and document production, and where relevant to your team, visual/video production or basic automation. The exact mix is set after the discovery call.

Which AI tools should employees learn?

In 2026 the core set is ChatGPT and Claude for text and analysis, Gemini for research, Midjourney for visuals. Skills come before tools: prompt writing, data privacy and a verification habit apply whichever tool is used.

What does the team have after the training ends?

A team AI playbook tailored to what was covered, plus 30 days of follow-up Q&A support so questions that come up while actually using AI at work get answered.

We have more than 10 people, is that possible?

The standard package covers up to 10 people for the best hands-on quality. For larger teams, describe your headcount in the contact form and you will get a tailored proposal, for example department-based sessions.

How is this different from a generic AI seminar?

No slides-only theory. Everyone works on their own laptop, on their own real tasks, the whole day. The goal is not "AI awareness" but a team that opens a real work item on day two and uses AI on it.

Does the training cover AI agents and GPT-6 Astra?

Yes, at the level a team needs. The full day covers what changed with the September 2026 launches (GPT-6 Astra on 3 September, Claude Fable 5.1 on 1 September), which of your processes are actually delegable and where a human approval point has to stay. If you want an agent genuinely built and measured on one of your processes, that is the separate four-week programme on the AI agents training page.

Which AI model should our company standardise on?

It depends on the work, not on brand preference. For daily writing and analysis Claude Sonnet 5 or GPT-5.6 Terra are enough, for coding Claude Opus 5 leads, for very long documents Gemini 3.1 Pro has the widest context and for handing a whole multi step task over GPT-6 Astra leads. The live comparison with current prices is kept on the AI models page.

How do we measure the return on the training?

Record the current time spent on 2 or 3 recurring tasks before the program, then measure the same tasks 4 to 6 weeks after. Track weekly active use, time change on those tasks, the share of work sent back for revision, and a short employee survey.

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