Tailored training
A programme for one team, based on its tasks, its tools and its security rules.
See the training scopeTraining
AI training for your team and for self-paced learning
A tailored programme is built for one company, its team and its rules on handling data. An off-the-shelf course has a fixed scope and can be started without arranging a shared date.
Off-the-shelf courses
Self-paced learning to a fixed programme, with no need to agree one date for the whole group.
Go to the catalogue01Catalogue
Off-the-shelf courses
Each course has a fixed programme and covers a single area of work. The full catalogue sits on a separate page.
Off-the-shelf course
AI in everyday office work
Drafting text, summarising a document, organising information and checking the result before you use it.
Who it is forPeople who work with documents, messages and information.
Free consultationOff-the-shelf course
Working safely with AI and data
Recognising data that must not be entered into a tool, choosing a safe way of working and checking the result.
Who it is forTeams that handle client, employee or company data.
Free consultationOff-the-shelf course
How to brief AI
Passing on context, examples and criteria for the result. Reworking an instruction after a wrong or incomplete answer.
Who it is forPeople who already use language models but get uneven results.
Free consultationOff-the-shelf course
Automating repetitive tasks
Choosing a task, describing its rules and exceptions, and planning a simple workflow with or without AI.
Who it is forPeople who want to put the work in order before choosing a tool.
Free consultation02For companies
Training for teams
We agree the programme after speaking to the person responsible for the team. Examples are drawn from the tasks participants actually work on.
Company training
AI in the work of one department
A workshop based on the documents, messages and tasks typical of sales, customer service, administration or another team.
Scope is set bythe tasks of the participants, the tools in use and the rules on handling data.
Free consultationCompany training
AI for management
Assessing use cases, costs and risk. Preparing the questions worth asking before buying a tool or starting a rollout.
Scope is set bycompany goals, planned projects and responsibility for decisions.
Free consultationCompany training
Rules for using AI at work
Handling data, approving tools, checking answers, and reporting both errors and new use cases.
Scope is set bythe current security policy and the tools employees already use.
Free consultation03Format
Choosing a format
Off-the-shelf course
Works when you need a fixed programme, a shared base of knowledge and the option to learn at different times.
- a fixed scope of material
- learning at your own pace
- the same programme for every participant
Company training
Works when the programme has to account for specific roles, processes, tools and rules in place at the organisation.
- examples from the participants' own work
- questions discussed during the session
- a programme matched to one team
04Preparation
Before company training
A short conversation lets us drop the topics the team will not use.
Step 1
Participant roles
We establish who takes part and what tasks they work on.
Step 2
Sample tasks
We collect the situations, documents or questions worth practising.
Step 3
Data rules
We agree which materials may be used during the training.
Step 4
Programme
We hand over the training scope and the materials participants need.
05Questions
Common questions
Answers on format, programme, data and matching the training to your company.
An off-the-shelf course has a fixed programme and the participant works through it alone. Company training is built for a named team and based on its tasks and its ways of working.
Contact
Choose a training topic
Tell us whether you are interested in an off-the-shelf course or a programme built for one company. For tailored training, give the department and the main tasks of the participants.
- 01
Format
You choose an off-the-shelf course or a programme built around the work of a named team.
- 02
Participants
We establish roles, level of experience and the tasks participants work on.
- 03
Scope
We agree the topics, examples and data-handling rules that need to be taken into account.