An AI workshop for your team in Amsterdam: at our office on the Westerdoksdijk, at your location, or at an external meeting venue in the city. No one-size-fits-all curriculum and no vendor pitch, just a tailored session led by people who build AI systems in production every day.
An AI workshop is a half or full day in which we take your team through the current state of AI: what it is, what it can do and what it delivers in your context. Unlike a general training, we work out in advance which use cases exist within your organisation, so the session becomes not an abstract demo but hands-on practice with your own work and your own documents.
We operate from Amsterdam. Our office is at Westerdoksdijk 599, a ten-minute walk from Amsterdam Centraal. We host workshops in-house, are happy to come to you in the Zuidas, the Westas cluster or the city centre, or we book a third venue together, such as B. Amsterdam, A'DAM Tower, a meeting room in a hotel in the Houthavens, or a space near your own office. Amsterdam has plenty of suitable places; we choose together what fits your group size, atmosphere and accessibility for participants travelling in from elsewhere.
We build the content from five modules: the current state of AI in 2026, the AI Act and GDPR, use-case mapping for your business, hands-on prompting and RAG, and a closing action plan. We combine these modules depending on the audience. A leadership session weighs things differently from a hands-on day for an operational team. For deeper dives on specific topics, we also offer separately bookable AI literacy training and broader enterprise AI implementation programmes.
What characterises an Appfront workshop is that we don't just explain what AI is; we show what we build with clients. We are a software company, not a training institute. You can feel that difference in the material: examples come from live code, not polished demo slides. We show what works and what gets stuck in practice. Fallbacks, hallucination control, evaluation and monitoring are as much a part of the programme as prompting tips.
Some colleagues use ChatGPT daily, others have never touched it. You want to bring everyone to a common footing before you put an AI strategy or project on the table.
A board or management team that has to make strategic decisions about AI investment, the impact of the AI Act and organisational change, without having worked hands-on with an agent or RAG pipeline. We translate the technology into questions leadership can act on.
You see colleagues experimenting, read about a new model every day, and want some structure. During the workshop we map concrete use cases onto your own processes, followed by a first prioritisation exercise.
Since February 2025, Article 4 of the AI Act has required AI literacy for staff who work with AI systems. A focused workshop is a practical way to demonstrate that literacy while also building knowledge.
The workshop is led by people who build AI systems themselves: Claude, GPT, private LLMs, RAG, agents, for clients in production. No abstract slides about what AI could be, but examples drawn from code that was running this very week.
No reseller deal with Microsoft, OpenAI, Anthropic or Google. We show what works for your use case: sometimes a large frontier model, sometimes open source on your own hardware, often a mix. You won't get a pitch for a single tool.
No standard curriculum that we roll out from client to client. We build the content from your pre-workshop call: sector, roles, existing AI use, goals. The five modules serve as building blocks, not a mandatory script.
The content of an Appfront AI workshop is built from five modules. The combination you receive depends on the audience, the format (half-day or full day) and the pre-workshop conversations.
The current state of LLMs, RAG, agents and multimodal models. What is hype and what is practice.
What the European AI Act means in practice for your business. Which obligations apply, which deadlines, which risk profile.
During the session we map concrete use cases onto your own processes and business functions, prioritised by impact and feasibility.
Everyone gets started with prompting, a mini RAG exercise on your own documents, and a short agent experiment.
To close, we work towards an initial roadmap covering budget, governance, first experiments and ownership.
A stakeholder call beforehand to sharpen the scope, participant roles and desired outcomes. We send reading material in advance.
Short theory, long hands-on, closing action plan. We work on your own documents and use cases, not demo data.
Follow-up sparring, materials, prompts and a short written wrap-up. Optionally, progress to AI strategy or agent development.
Amsterdam is a dense city in terms of sectors. Our participants usually come from one of these areas, and because we are vendor-independent we always tailor the examples to the sector.
Strict compliance, on-premise or EU-only data, governance questions. Workshop focus: AI Act impact, model risk, and controlled experimentation within the first line.
Product teams that want to build AI into an existing product without disrupting the roadmap. Workshop focus: build versus buy, model selection, and first agent experiments.
Generative AI within editorial guidelines, copyright and transparency. Workshop focus: hands-on prompting for content teams, review workflows and source attribution.
International tech, retail or consumer companies with their European headquarters in Amsterdam. Workshop language English, examples aligned with EU regulation.
Teams who need to become AI-capable in order to deliver value to their own clients. Workshop focus: production-grade prompting, RAG on your own knowledge bases, agent prototypes.
Policymakers and implementers working with AI applications in a public context. Workshop focus: public-law aspects of the AI Act, bias, transparency towards citizens.
An AI workshop with us runs for either half a day or a full day. The half-day suits management sessions and introductions; the full day suits teams who also want to work hands-on with their own documents and use cases. We agree a specific time slot together based on the pre-workshop call. We work in clear blocks: a short theory segment, a longer hands-on session, and a joint action plan at the end so that nobody goes home with loose notes.
We prefer to hold the workshop at one of three locations. In-house at our office on the Westerdoksdijk, which is convenient if you want to be easily reachable from Amsterdam Centraal for people travelling from other cities. At your own office, which works well if you are bringing a large team and want the whole department involved. At a third venue in Amsterdam, such as meeting rooms at B. Amsterdam, A'DAM Tower, hotels in the Houthavens or the Westas cluster. We can help you choose and book; in our view, you should pick the venue that suits your group's atmosphere and accessibility, not the other way round.
We work out what we do in detail beforehand. In a stakeholder call of thirty minutes to an hour, we go through the target audience, existing AI use, sector context and desired outcomes. From that conversation we build a concrete programme and share it with you before the workshop. Nobody should be figuring out the programme on the day itself, not you, not your participants, and not us. For the hands-on parts, we ask in advance which documents and use cases you would like to use: an offer template, a set of customer questions, a product specification or a process manual. We build the exercises around those.
After the workshop we routinely follow up. This includes a written wrap-up with the priorities agreed, recommended experiments and usable prompts. Optionally, a follow-up sparring session a few weeks later to see how the first experiments are going. For clients who want to go further, we continue with AI strategy, AI agent development or, more broadly, enterprise AI implementation, always without obligation arising from the workshop.
For clients in and around Amsterdam, the workshop often serves as an introduction to our wider practice as an AI specialist in Amsterdam. Sometimes it stops at that single day, and a team with enough foundation to experiment on its own is exactly the goal. Sometimes a follow-on arises in which we build a first AI agent together, set up a RAG pipeline on your own knowledge base or develop a strategy roadmap. Both outcomes are legitimate; we do not steer towards a follow-on assignment when it is not needed.
A 30-minute introductory call in which we go over who will be involved, what you want to achieve and which location in Amsterdam suits you. We then send a concrete proposal covering format, modules and price.
Appfront uses cookies and similar technologies to keep the website working properly, for analytics and for marketing. You choose what you allow. Read more in our privacy policy.
