October 22, 2026 · Telekom Academy, Athens, Greece
Your team already has Claude, ChatGPT and Gemini. This AI for business bootcamp is how they put them to work. 8 hours, 6 hands-on modules, real business scenarios — zero coding. Leave with a take-home prompt library and a personal 90-day AI action plan you apply from Monday.
A full day of hands-on AI for business training that takes professionals from uncertainty to competence across the three major AI assistants. You'll learn how LLMs actually work, how to write prompts that produce useful results, and how to fold AI into writing, research, and everyday workflows.
No coding. No jargon. Every exercise uses real business scenarios, so the skills land immediately and transfer to whatever tools your organisation adopts next.
You leave with a take-home prompt library and workflow templates you can put to work on Monday — plus a personal 90-day AI action plan.
No coding or technical knowledge required — if you’re comfortable with a browser and email and curious about AI, you’re ready.
Run meetings, write updates and plan the team’s week with AI drafting the first version.
Turn routine documents, summaries and task planning into repeatable AI workflows.
Draft emails, proposals and follow-ups at scale, in the right tone for every client.
Summarise long documents and reports, and know what never to share with a public tool.
Set the norms for how teams use AI, with responsible use built in from day one.
Running meetings, writing proposals or managing communication, with AI handling the first draft.
Employees don't fully understand what AI can and cannot do — leading to unrealistic expectations or outright avoidance.
How to close it
Set a clear, realistic baseline of what to automate vs. what needs human judgment.
What changes
Teams lack the practical techniques to get useful outputs, producing inconsistent or off-brand work.
How to close it
Teach repeatable prompt patterns that produce dependable results.
What changes
Without guidance, staff either avoid AI or use it carelessly, creating risk instead of value.
How to close it
Cover data privacy, hallucinations, and responsible-use norms.
What changes
What GenAI is and how LLMs “think” — tokens, context windows, and the realities behind the myths. Compare the three assistants and set realistic expectations.
Key topicsClaude vs ChatGPT vs Gemini · Myths & realities
Reserve Your SeatThe anatomy of an effective prompt — role, context, task, format. Iterative prompting, prompt patterns for business scenarios, and the most common mistakes (and fixes).
Key topicsRoles & context · Iteration · Common mistakes
Reserve Your SeatDraft professional emails at scale, generate and refine reports and executive summaries, and adapt tone for clients, leadership and teams — including multilingual communication.
Key topicsEmails · Reports · Tone · Multilingual
Reserve Your SeatSummarise PDFs and long documents, extract insights from complex information, run competitive intelligence, and critically evaluate output — spotting hallucinations.
Key topicsSummarising · Research · Fact-checking
Reserve Your SeatAutomatic meeting summaries and action items, AI-assisted task planning, integrations with spreadsheets, CRM and email, and reusable prompt templates for your team.
Key topicsMeetings · Planning · CRM · No-code
Reserve Your SeatWhy AI gets things wrong and how to catch it, what to never share with a public tool, how to set team norms — and how to build your personal 90-day AI strategy.
Key topicsHallucinations · Privacy · Responsible use · 90-day plan
Reserve Your Seat
Georgios PapachristouData & AI Team Leader, MetisGen AI Trainer,Product-Led HubAbout Georgios
Georgios is a dedicated ML/AI Engineer and Data Scientist specializing in the creation and deployment of Machine Learning solutions. His expertise extends beyond theory, and includes applications productization (code quality, CI/CD, testing and automated model deployment).
Over the years, he has had the opportunity to contribute to a variety of projects, each with its unique technology stack and requirements. His collaborations range from Machine Learning to Big Data streaming applications, working with both on-premises and cloud-based technologies such as Databricks and Azure.
In addition to his technical skills, he has a solid background in statistics and machine learning theory, including regression and classification methods. He is passionate about uncovering hidden insights in large datasets and using them to help businesses make better decisions and deliver superior products.
He is well-versed in object-oriented programming and has a strong foundation in software engineering principles.
Six hands-on modules: AI fundamentals and how LLMs work, prompt engineering for non-developers, writing and communication, research and analysis, AI-powered workflows and automation, and ethics, risks and responsible use.
No. There is no coding and no jargon. If you are comfortable with a browser and email and curious about AI, you are ready.
Yes. The day takes business professionals from uncertainty to competence, starting with what AI can and cannot do and building the AI skills to use it well in everyday work.
A take-home prompt library, workflow templates you can put to work on Monday and a personal 90-day AI action plan.
On October 22, 2026 at Telekom Academy in Athens, as part of the Gen AI Leadership Forum. Registration opens at 09:30 and the modules run from 10:00 to 17:00.
Eight hours, six modules, three AI tools — and a take-home prompt library your whole team can use. No technical background required. October 22, 2026 · Telekom Academy Athens.