Key takeaway: we train corporate teams to actually use ChatGPT, Claude, Microsoft Copilot and Google Gemini in their daily work — not as a theory lecture, but as hands-on practice on the reports, emails and spreadsheets they already deal with. The goal isn’t “learning AI” in the abstract; it’s cutting the two or three hours a week your team currently loses to repetitive drafting, formatting and searching.
We keep the vocabulary small and practical, so a marketing manager and an IT lead can talk about the same thing:
Prompt engineering — writing instructions with enough context and constraints that ChatGPT, Claude or Gemini gives you a usable answer on the first or second try, instead of five rounds of “no, not like that.”
Large language models (LLMs) — the technology behind ChatGPT, Claude, Copilot and Gemini: systems trained on huge amounts of text that can summarise, draft and reason about language reasonably well, though not perfectly.
Custom GPT / Gem agents — a version of ChatGPT or Gemini pre-loaded with your own documents and instructions, so it answers like someone who already knows your business instead of a generic assistant.
We build cohorts around real job roles rather than generic skill levels, because a sales manager and a finance analyst need very different things from ChatGPT.
Four stages, in this order, because skipping the first one is how most in-house AI rollouts stall:
Group workshops or one-on-one sessions, depending on how your team learns best and how much of the day you can spare.
| Course | Level | Tools covered | Format | What it’s for |
|---|---|---|---|---|
| AI Training for Companies | A1–B2 | ChatGPT, Copilot, Gemini, Claude | Custom corporate cohort | Company-wide workflow automation and upskilling |
| ChatGPT for Beginners | A1–A2 | ChatGPT, Microsoft Copilot | Group (up to 20) or 1-on-1 | Daily drafting, research, quick formula fixes |
| Claude for Business Writing | A1–B1 | Claude | Group or 1-on-1 | Longer documents, nuanced tone, client-facing text |
| Google Gemini for Work | A1–B1 | Google Gemini, Workspace AI | Individual private lessons | Document synthesis and Google Workspace integration |
| Microsoft Copilot for Work | A1–B2 | Microsoft 365 Copilot | Individual private lessons | Outlook, Excel, Word and PowerPoint automation |
| Visual AI Tools Seminars | M1–M3 | Midjourney, Stable Diffusion, Leonardo | Group seminar (up to 20) | Ad creative, design mockups, visual assets |
People assume AI training is only for marketing teams and analysts, but that’s changing fast. Construction and renovation firms — the kind of companies handling projects like a house extension from planning through to build — are starting to use ChatGPT and Gemini for drafting client quotes, summarising site surveys and speeding up permit paperwork. It’s the same underlying skill set we teach here, just pointed at a different set of documents.
While the training center is based in London, a growing share of our corporate cohorts come from the Baltic states and Poland, where demand for practical ChatGPT and Copilot skills has picked up sharply over the past year. We run sessions locally through regional training partners, including Promptas.lt in Lithuania, who help coordinate on-site and online workshops for Baltic and Polish companies in their own language and time zone.
Question: Do people need to know how to code to attend?
Answer: No. Everything runs through plain-language prompts inside ChatGPT, Claude, Copilot or Gemini — no scripting, no technical background required.
Question: Can the training use our own documents and templates?
Answer: Yes, and honestly it’s better that way. We regularly build workshops around a company’s actual (sanitised) templates and workflows rather than generic examples.
Most people get there in two to five sessions. It’s faster than people expect mainly because we skip the theory-heavy intro and put them straight onto real tasks from session one.
We treat it as a core part of the course, not an afterthought. That means showing people exactly which account settings stop a model from training on your prompts, what counts as sensitive information, and simple anonymisation habits before anything goes into a public tool.
Quite a lot, usually. Most teams only use the autocomplete-style suggestions. We push further into multi-document synthesis in Word, more advanced formula and data work in Excel, and pulling action items out of Teams meetings automatically.
Yes. Through our regional partners, including Promptas.lt in Lithuania, we deliver both in-person and online sessions for companies across the Baltic states and Poland, alongside our London-based programmes.
We run a short diagnostic first and split the cohort accordingly. Beginners start on core ChatGPT or Gemini mechanics; the more advanced group moves straight into custom GPTs, multi-step reasoning and heavier data analysis in Copilot or Claude.
If you want your team actually using ChatGPT, Claude, Copilot and Gemini instead of just hearing about them, start with our AI training for companies, or browse the online course schedule to book a group or individual session at the AI For Business Training Center