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
- 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
Managers and leaders
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Human resources
AI Training for HR Teams
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Sales teams
AI Training for Sales Teams
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Marketing teams
AI Training for Marketing Teams
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Finance and accounting
AI Training for Finance and Accounting Teams
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Legal and compliance
AI Training for Legal Departments and Lawyers
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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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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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Software and IT
AI Training for Software and IT Teams
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Design and creative
AI Training for Design and Creative Teams
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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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Real estate
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E-commerce and retail
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Tourism and hotels
AI Training for Tourism and Hotel Businesses
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Healthcare and clinics
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Law firms
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Accounting firms
AI Training for Accounting and Tax Advisory Firms
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Agencies
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Manufacturing and industry
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AI literacy
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ChatGPT training
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Claude training
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Prompt engineering
Corporate Prompt Engineering Training
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Data analysis and reporting
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Content creation
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Data security and privacy
Data Security and Privacy Training for AI Use
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Excel + AI
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See the program →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.
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.
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.
Data privacy
Which customer, contract and financial data may enter a tool, business vs personal accounts, and KVKK responsibilities.
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.
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 seminar | This workshop | |
|---|---|---|
| Content | Same slides for every company | Built from your team's real daily tasks |
| Format | Passive listening | Everyone 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 ends | Nothing | Team 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.
Opening and rules
Accounts checked, the day's three targets set, data privacy rules agreed in 20 minutes.
Prompt lab
Everyone rewrites one real task as a proper prompt: role, task, context, format, constraints. Results compared side by side.
Department workflow 1
Sales builds a proposal draft workflow from its own last three proposals, marketing builds a campaign brief workflow.
Department workflow 2
Reporting, customer emails or visual production with Midjourney, depending on what came up on the discovery call.
Verification and quality
Each participant checks a colleague's output for numbers, sources and tone. The approval rule before publishing is written down.
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
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.
| Format | Duration | Who it suits | 2026 price band |
|---|---|---|---|
| Online video course | 4 to 10 hours per person | Individual basic awareness | 1.000 to 15.000 TL per person |
| Open-enrolment workshop | Half or full day | Mixed groups from different companies | 3.000 to 10.000 TL per person |
| Corporate hands-on training (this page) | Full day, one team | Teams of 5 to 15 working on their own tasks | 40.000 to 100.000 TL + VAT. Mine: 49.900 TL + VAT |
| Multi-day transformation program | 2 to 6 days plus follow-up | Companies transforming several departments | 100.000 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
Discovery call
Free short call: which departments join, which workflows are targeted, what tools and licences exist.
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.
Workshop day
Full day, hands-on, on-site or online. Every participant leaves with at least one workflow built into their own job.
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
- Buying a one-off motivation talk. It inspires, but nobody works differently on Monday. Without practice and follow-up the budget is mostly wasted.
- 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.
- Putting everyone in one class. Sales, accounting and design need different things. Department-based sessions beat large mixed groups.
- Measuring completion rate. A mandatory video marked 100% complete in the HR panel can mean zero behaviour change. Measure use and time saved.
- 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.
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.