AI Literacy & Prompt Engineering Training

You already paid for the AI seats. Whether that pays off depends on whether people actually use them day to day. This program turns access into a habit, practiced on your team's own work, across ChatGPT, Copilot, and Gemini.

modules
6
hours
13
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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.

Everyone already has the software. What's uneven is knowing what to hand off and how to ask well. People also need to check the answer before it goes anywhere important. A few people in every department have already worked this out for themselves. Most of the rest are still guessing at prompts or ignoring the tools. Some quietly paste confidential material into a free consumer chatbot with no rule stopping them. The EU AI Act now expects organizations to bring staff up to a baseline of AI literacy, and clients and boards are starting to assume that competence is already there.

Most companies run the two days as half-day blocks split across a couple of weeks so work keeps moving. A few run it as one back-to-back push instead, same syllabus, same outcomes. We adjust for the room in front of us, and the full programme list shows what else runs. When leadership needs the strategy layer rather than the workshop floor, our AI training for executives picks up from there.

You already have the licenses

Most companies now pay for ChatGPT, Microsoft Copilot, or Gemini seats, and that spend doesn't produce results by itself. Adoption stalls at the individual desk unless someone builds the habit on purpose.

Untrained use is already happening

Whether or not your company has a policy, people are pasting drafts, data, and customer messages into consumer chatbots right now. Structured training replaces that unguided habit with something sanctioned and confident.

Why does one team get more out of the same license?

The tools already sit inside Word, Outlook, and the browser, and what separates the teams that benefit is simply whether people know what to hand off, how to ask for it, and how to check what comes back.

Regulators are starting to expect this baseline

The EU AI Act now expects organizations to make sure staff have a basic level of AI literacy, and clients and boards are starting to assume the same thing informally. We help people build that awareness and that skill. The legal reading of it stays with your own counsel.

Article 4the EU AI Act's baseline expectation for staff AI literacy

Small, repeated wins add up to the payoff

The return on AI rarely comes from one dramatic use case. It comes from email, summaries, first drafts, and research done a little faster, thousands of times, by people who finally feel confident. Literacy is what makes that repeated improvement possible.

Syllabus

Training syllabus

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

About Zeo

Why Zeo

Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.

  • 2011founded in Istanbul
  • 10+years of consulting and training experience
  • 3offices: San Francisco, Istanbul, Ankara, Lisbon

Keep exploring

Microsoft 365 Copilot6 modules · 13 hoursInstructor-led Microsoft 365 Copilot training for whole-company teams in Word, Excel, PowerPoint, Outlook, and Teams, covering prompting skill, tenant governance, KVKK, and adoption that outlasts launch week.View trainingGoogle Workspace & Gemini6 modules · 13 hoursInstructor-led Gemini training built around the tools a team already has open all day: Docs, Sheets, Slides, Gmail, Meet, and Drive. Prompting with useful context, checking sources before anything ships, KVKK-aware data rules, and adoption that survives past the workshop.View trainingAI Briefing for Executive Teams6 modules · 10 hoursA leadership briefing, half a day to two days, that gives C-suite and boards the AI value map, the build-vs-buy call, KVKK and EU AI Act awareness, and a 90-day roadmap each leader leaves with.View trainingAI Agents6 modules · 13 hoursNo-code AI agents training for business and operations teams: what an agent really is, when to use one, and how to build and govern one on your own workflows, from Copilot Studio to custom GPTs.View training

Next step

Turn paid-for AI seats into daily habits

First we map which teams come on board and in what order, and which tools they already have licensed. Then the syllabus and schedule get built around your company. The rollout plan follows.
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Illustrated figure practicing at a desk in front of a large screen of prompt windows

Questions

Frequently asked questions