AI training for companies and technical teams: a practical guide to starting well

AI training for companies is no longer about following a fashion or "seeing what ChatGPT does". It is about understanding what artificial intelligence can contribute in real work, with judgement, without hype and without wasting time trying out tools at random.

At Proxera we approach training as practical help so that companies, teams and professionals learn to use AI in a useful way in their daily work. The approach is neither theoretical nor generic: it adapts to the level of the group, to its goals and to the type of tasks it wants to improve. And, like everything we do in training, it is quoted on a tailor-made basis.

If you want to see more detail of the service, you can consult our training page (ES).

AI training for companies, teams and individuals

This line is designed for business profiles, non-technical teams, self-employed professionals and individuals who want to bring AI into their work with a practical approach. The aim is not to turn anyone into a technical expert, but to help use AI sensibly: to save time, organise tasks, improve texts, support decisions and gain productivity.

The training focuses on the fundamentals of applied AI and on concrete uses that can be carried over to daily work. For example:

• personal and team productivity;
• writing and reviewing texts;
• support for lead capture and management;
• automation of administrative tasks;
• analysis and synthesis of information;
• organisation of repetitive processes;
• creating useful prompts for everyday tasks.

This type of training suits especially well companies and professionals who want to start using AI without complications. It is usually useful for the teams of accounting and tax advisory firms, law firms, real estate agencies, marketing agencies, shops, self-employed professionals and any organisation that has repetitive work, documentation or many coordination tasks.

The key is to bring AI down to the real context of the business. It is not about teaching tools for the sake of teaching tools, but about answering questions like these:

• which day-to-day tasks can be supported with AI?
• how is it integrated without breaking the workflow?
• what is worth automating and what is not?
• how is it used with judgement so as not to generate errors or wasted time?

The training can be oriented to an initial introductory session, to a practical session for a specific team or to a more complete plan according to the needs. It always adapts to the level of the group and to the goals that are to be achieved.

AI training for programmers and technical teams

The second line is aimed at development teams, agencies and technical departments that want to apply AI to programming work and to improving the technical workflow. Here the approach changes: we are no longer talking only about general productivity, but about how to integrate AI into development, into task automation and into the interaction with APIs and language models.

In this training we work on, among other topics:

• code assistants such as GitHub Copilot, Claude Code or Cursor;
• automation of development tasks;
• integration of LLMs and APIs in real projects;
• prompt design for programming and technical support;
• good practices, limits and criteria of use;
• how to get the most out of AI without compromising quality or control.

This type of training is usually useful for teams that already work with software, automations or digital products and want to incorporate AI in a serious way. It is not about "making code with magic", but about understanding where it adds value, how to control results and which patterns are worth adopting to work better.

Who delivers the training

The training is delivered by two different profiles, depending on the focus of the session.

Robert Graf leads the business and productivity side, with a vision oriented to practical usefulness: how to use AI with judgement, how to apply it to daily work and how to turn it into real help for teams and professionals.

Miller Espinosa leads the technical side. His approach focuses on how to integrate AI into development, how to work with code assistants, LLMs, APIs and automation, and how to bring these tools into the technical workflow without losing control.

How we work on the training

All of Proxera's training is prepared on a tailor-made basis. That means that before quoting, several factors are taken into account:

• whether the training is for a company, a team or an individual;
• whether the focus is business/productivity or technical/programming;
• how many people will take part;
• what the specific goal is;
• whether the session will be in person or online;
• what level the group has;
• how much content needs to be covered.

The idea is not to sell a closed, generic training, but to design a proposal that fits what you need to learn and apply.

If you want a quote for AI training

If you are considering AI training for your company, your team or yourself, the best thing is to tell us what goal you have and what kind of group will take part. From there we can guide you on the most suitable approach and prepare a tailor-made quote.

You can do it from the website itself, using the chat, or through the contact form. And if you want to expand the information before writing to us, you have more detail on our training page (ES).

AI can be very useful when it is taught with context, with practice and with a clear purpose. That is exactly the idea behind Proxera's training.