Consulting · Training · AI for real work
GOPPO — Training
Training for starting to use AI or deepening what is already being done. The starting point is real tasks and situations, to understand where AI can help, where it fails and how to integrate it into work: not only in one-off requests, but in processes and workflows that can be repeated, adapted and improved.
01 — Courses
Training adapted to the team
To adapt the training to the company's reality, the first step is to understand the context, the tools in use and the team's objectives. The topics, exercises and pace are defined from there.
Discuss a specific case →02 — Free resources
A glossary, a selection of tools and a list of podcasts for continuing to explore AI with more judgement. Simple resources for understanding what exists, when it can be useful and which questions are worth asking before choosing a tool.
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A simple explanation of the main terms used in artificial intelligence. For better understanding concepts such as models, prompts, agents, RAG, automations and integrations.
Register to access →A selection of tools for different tasks, such as marketing, image, writing and productivity. With notes on what each one does, when it can be useful and what alternatives exist.
Register to access →A selection of podcasts for following ideas, debates, interviews and news about artificial intelligence. For finding different perspectives and continuing to learn over time.
Register to access →Access is free and only asks for a simple registration.
03 — Frequently asked questions
Both formats are possible. For in-company training, the session can take place at the company's location. When the team is distributed, the online format keeps the practical component through shared exercises.
Training is designed and overseen by Joaquim Mira, a trainer certified by IEFP (Pedagogical Skills Certificate — CCP). Depending on the topic, it may be delivered by Joaquim Mira or by another qualified trainer in a specific area. The examples come from real use of the tools in projects, content, automations and prototypes.
A technical profile is not required. Training starts from the work that already exists: documents, tasks, decisions, tools and real questions from participants.
The main format is in-company, for teams that want to create a shared foundation for using AI. The programme can be adapted to the sector, the tools in use and the most relevant use cases for the group.
A training certificate is issued at the end of each programme. In certified professional training contexts, UFCD framing or other applicable mechanisms can be assessed case by case.
The investment depends on the format, number of participants, duration and level of customisation. A useful estimate needs the context first: team size, objectives, starting point and preferred format.
Practical Introduction to AI is 6 hours, divided into 4 sessions of 1h30. AI in the Workflow is 4 hours, divided into 2 sessions of 2h. For teams with specific needs, the programme can be extended, condensed or adapted.
Training does not stop at explaining the tools. Exercises are applied to real professional tasks and each session aims to leave prompts, criteria and small workflows that can be repeated afterwards.
Whenever possible, the work uses content, documents and decisions close to the team's reality. When there is sensitive data or material that should not leave the company, anonymised versions or equivalent examples are used. The goal is to train judgement, not memorise generic prompts.
In that case, the work starts with a short diagnosis: context, tools in use, risks, objectives and the team's current level. The programme is designed from there, with topics, exercises and pace adjusted to the company's reality.
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A short explanation of the team, the objectives and the starting point helps clarify what training may make sense.
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