AI Training · AI Literacy
AI Literacy & Prompt Engineering Training
You already paid for the AI seats. Whether that spend pays off comes down to one thing: do people actually use them day to day, or do the licenses just sit there.
This program turns access into a habit, practiced on your team's own work across ChatGPT, Copilot, and Gemini, not generic demos.
- modules
- 6
- hours
- 13
Some of the 500+ brands we've worked with
Selected brands we’ve worked with across industries.
MeteksanGlobalCase Study
VisperaGlobalCase Study
Why this training
Why master this AI skill?
Nearly every kickoff call gets to the same issue. The company already pays for ChatGPT and Copilot, but hardly anyone uses them. The answer is two days of work inside ChatGPT and Microsoft Copilot. Gemini is included too, using your own documents. Teams build a shared prompt library and a repeatable method, with clear rules for where company data can go.
What's uneven is knowing what to hand off, how to ask well, and how to check the answer — some have already worked it out, others still guess or quietly paste confidential material into a consumer chatbot, even as the EU AI Act pushes staff toward a baseline of AI literacy. We run the two days as half-day blocks or one back-to-back push depending on the room; see the full programme list, or AI training for executives for the strategy layer.
You already have the licenses
Most companies already pay for ChatGPT, Copilot, or Gemini seats — that spend stalls at the desk until someone builds the habit on purpose.
Untrained use is already happening
People are already pasting drafts and customer data into consumer chatbots — training replaces that unguided habit with a sanctioned one.
Why does one team get more out of the same license?
The tools already sit in Word, Outlook, and the browser — what separates teams is knowing what to hand off and check what comes back.
Regulators are starting to expect this baseline
The EU AI Act's Article 4 expects a staff AI-literacy baseline, and clients and boards assume it too — the legal read stays with your counsel.
Small, repeated wins add up to the payoff
AI's return rarely comes from one dramatic use case — it's email, drafts, and research done a little faster, thousands of times over.
Syllabus
Training syllabus
What these tools are doing, and where they fail
120 minBeginner
What tools like ChatGPT, Copilot, and Gemini do well, where they fail, and why that matters before anyone relies on them. Everyone leaves with the same working vocabulary, no coding, no jargon.
- What happens between your prompt and its answer
- Hallucination, named and spotted
- ChatGPT, Copilot, Gemini: picking the right one
- Where AI already sits in Word, Outlook, the browser
- What to delegate, what to keep deciding
- Three things worth trying before lunch
Prompt craft for everyday work
120 minBeginner
A repeatable prompt structure, role, context, task, format, checks, gets practiced on the documents and messages your teams already write, until it becomes a habit instead of a one-off trick.
- One template that works across every tool
- Giving context without oversharing
- Rewriting a draft instead of settling for the first one
- Dialing in tone, length, reading level
- Prompting for analysis
- Common mistakes, and the fast fix
Your workday, taken apart and rebuilt
180 minIntermediate
A hands-on lab where each participant takes two or three recurring tasks from their own week, email, reports, research, first drafts, and rebuilds them as AI-assisted workflows. They measure the before and after themselves.
- Mapping the repeats in your own role
- Rewriting email and reports, including documents
- Summarizing a long thread
- Using AI for a first research pass
- A workflow you'll reuse
- Timing the before and the after
Turning individual wins into a shared library
150 minIntermediate
Turning individual wins into shared, versioned prompts the whole team can reuse. Good practice spreads once it's written down somewhere everyone can find. Otherwise it stays locked on one person's screen.
- Naming and keeping the prompts worth saving
- Structuring a library people will bother to open
- Saving and reusing prompts across every tool
- Playbooks per department
- Keeping prompts current as tools change
- Ownership: who keeps the library alive
Keeping company data out of the wrong tool
120 minIntermediate
Data-protection obligations translated into daily habits: what may go into an AI tool and what never does. Teams write rules of engagement people will actually follow. This part stays awareness-level, not legal advice.
- What counts as personal or special-category data
- Consumer tools versus enterprise tools, and where data ends up
- KVKK and GDPR basics, with the EU AI Act in plain terms
- What never goes into a prompt
- Reviewing AI output before anyone owns it
- Writing a usage policy people will follow
Keeping the habit alive after we leave
90 minAdvanced
From trained individuals to a company that uses AI well: champions and measurement, with habits that survive after the trainers leave.
- Picking pilot tasks with a measurable payoff
- One champion per department
- Adoption metrics that go beyond login counts
- Naming the resistance before it surfaces
- A 90-day plan, written down before you leave
Outcomes
Outcomes & audience
What you will learn
- Explain what these tools do well, and where they don't
- Reusable prompts for daily work
- Rebuild email, reports, research, and first drafts as AI-assisted work
- Pick the right tool for the job, ChatGPT, Copilot, or Gemini
- A shared prompt library the team keeps reusing
- Keep data safe under KVKK and GDPR, with the EU AI Act covered
- Review output before it ships
- Plan pilots into a rollout, champions included
Who should attend
- Marketing and content people, including communications teams
- Sales and customer success, alongside support teams
- HR and L&D, including internal operations
- Finance and legal, alongside admin colleagues
- Whoever is rolling AI out to their department
- Anyone expected to use AI at work with no technical background
Format
Training format
Company-wide literacy training takes two days, usually split into half-day sessions that fit around the working week, with the same syllabus onsite or live online.
- Format
- Onsite or live online
- Duration
- 2 days (about 13 hours, can be split into half-day sessions)
- Group size
- Up to 20 participants per group. Larger rollouts run as repeated cohorts
- Language
- English or Turkish
- Materials
- Prompt library starter, department playbooks, and exercise workbook
- Certificate
- Certificate of completion
Keep exploring
Related programs
Next step
Turn paid-for AI seats into daily habits
Questions
Frequently asked questions
Which departments is this meant for?
Every team, technical or not: marketing, sales, HR, finance, operations, and the managers leading them. It's built for people expected to use AI at work without a coding or data-science background.
Does someone need a technical background to keep up?
No, the only real prerequisite is familiarity with your own workflows, since the training builds directly on the documents and processes your teams already handle.
How long does this run, and how does delivery work?
The core program is two days, roughly 13 hours of instruction, delivered onsite or as live online sessions. Most companies split it into half-day blocks so day-to-day work keeps moving.
Which AI tools show up in the exercises?
Core skills get practiced on mainstream tools: ChatGPT and Microsoft Copilot. Gemini is included too. If your organization runs approved enterprise tools instead, we adapt the exercises to them so people practice in the environment they'll use every day.
Can the program flex to fit our company and teams?
Every company gets its own version of this. We start with a short call about your teams and current tools, then the workflows people rely on. From there the cases and prompts get adjusted. Depth is set before day one. Nothing on this page is fixed in stone.
Is our company data safe once it's in the room?
The examples are synthetic or anonymized, and one module does nothing but keep company data out of unsanctioned tools. KVKK and GDPR handling runs through the training from day one.
How is this different from a free online AI course?
Free courses teach the basics on generic examples. This one runs on your own workflows, with a live instructor and follow-through on adoption. If your teams want to explore at their own pace first, our free Copilot Academy is a reasonable starting point, and this training is the live, company-specific version of it.
How is pricing set, and what happens once the training ends?
Group size, delivery format, customization depth, and rollout scope set the price, so a short description of your teams and goals is where we start. Afterward you keep the prompt library, the department playbooks, and the 90-day rollout plan, and your champions keep the usage alive.