Training your teams in AI: the first step to success
- Reworking software means taking over existing code to correct it and make it evolve.
- We start by accessing the code, then carry out a free maintainability analysis.
- Depending on the quality of the code, improvements are made using the same technology or part of the code (often the back-end) is overhauled.
- Changing service providers allows you to unlock fixes when the current team is no longer available.
- Updating a language or migrating a technology improves performance and security.
AI training in companies is often the first thing to do if you want to integrate artificial intelligence in a useful and controlled way. Why is this? Because AI is still a relatively new subject, and within the same organisation, levels of adoption can be very uneven: some are already using it (privately or at work), while others have never dared to “put their hand in”.
The aim of this page is to help you understand how to structure a training programme that brings everyone down to a common level, provides a framework for use (particularly with regard to confidentiality) and makes it possible to get down to business quickly.
Why training is the starting point
Integrating AI into a company is not just a matter of “giving a tool” to a team. Without support, you will soon see :
- dispersed uses,
- uneven results,
- and above all a lack of framework on what is acceptable or risky.
Training means creating a shared foundation for AI to become a reality. an integral part of the company's strategy and a lever that can be used now, not “one day”.
Aligning levels: reducing usage gaps within the team
In many companies, there is a clear gap between :
- employees who are already comfortable with AI,
- and those who have never really tested it or who doubt its value.
Training is used to reduce this disparity and avoid digging internal ditches. The aim is for everyone to be able to say:
“I can use AI on a daily basis in my work.”
Supervising the use of AI: rules and confidentiality
One important issue is frame. An employee may, without malicious intent, share confidential information via an AI tool.
Training must therefore clarify :
- what is authorised,
- what is prohibited,
- and how to use AI in a professional context, in line with company rules.
General point of view (additional): in many organisations, formalising these rules in the form of internal best practice helps to secure their adoption and limit “improvised” behaviour.
For a broader overview of risks and safety, contact our experts in technical and security audit for the creation of an application using AI.
Objective: concrete AI uses in everyday life (productivity, comfort, quality)
The ambition is not to “do AI for the sake of doing AI”, but to generate concrete benefits:
- gain in productivity, saving time,
- make your work more comfortable, by doing away with thankless tasks,
- improve quality certain renderings (by improving or structuring work already produced).
A key point: training helps you to acquire the good practice for better results consistent and relevant when using AI.
Two formats: plenary sessions vs. practical workshops
Iterates offers several formats.
Take part in our AI training courses, seminars and conferences depending on your objectives and context
Plenary session (theory + case studies)
This format aims to explain :
- how to use AI in a business context,
- with practical case studies to illustrate,
- while providing a common basis for understanding.
Workshops (laptop/smartphone, guided tasks)
Here, the approach is highly operational:
- employees bring their laptops and/or smartphones,
- they are asked to carry out tasks,
- and we provide practical, step-by-step support.
The aim is for participants to be able to “touch” the product, see the benefits, and leave with immediately actionable benchmarks.
A tailored approach: initial conversation, requirements, use cases
Before any training, a first conversation will help you understand :
- your needs,
- the starting level of the teams,
- and priority use cases.
The content is then adapted. Example cited: if your company has a need for’regulatory automation, The training is based on this use case to determine :
- which tools will be presented,
- and what practical exercises will be offered.
If your objectives revolve around automating tasks, optimise your processes and save time with automating business tasks with artificial intelligence.
Who should attend : SMEs, teams, department heads, managers
This service is aimed at both small and large organisations, with a range of tailored options:
- form a team (often a group of between 10 and 30 people),
- train only heads of department,
- accompany a manager who spends a lot of time on administrative tasks with little added value, with concrete examples of how to avoid certain tasks.
Why Iterates: AI experience and up-to-date training
Iterates says it is active in AI since 2023, with a recurrent development of AI software, and a specialisation in training. The stated aim: to offer training courses up to date in relation to tools and their development.
Depending on your projects tailor-made AI agents and web applications developed with AI may also be relevant in the long term.
To remember
- Training your teams is the first step to integrating AI seamlessly into your business. useful and supervised.
- Training reduces internal discrepancies and clarifies the rules (including the confidentiality).
- Two formats: plenary (framework + theory + cases) and workshops (guided practice).
- An effective approach starts with an initial discussion to adapt the training to the needs of the client. real needs.
- The expected result: a range of uses concrete and support to continue after the session.
Next step: make an appointment or contact us
If you want to train your teams in artificial intelligence, the easiest way is to start with a discussion to define your objectives and the current level of your teams:
- Take meeting with an IA trainer in belgium
- or contact us directly AI training service for companies d'iterates
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Form aligns the levels and avoids “two-speed” adoption. It also provides a framework for usage and means that we can move on to practical applications more quickly.
The plenary session sets the scene and explains how AI can be used in business, with practical case studies. The workshops are action-oriented: we work on real tasks with laptop/smartphone to quickly get down to business.
Favour an approach that starts with a discussion of your needs and the current level of your teams, then adapts the content. A good indicator: the ability to propose use cases that are close to your reality and a reusable training medium.
It all depends on your objectives: one session may be enough to get you started and provide a framework, while several sessions can be used to go into greater depth and increase the number of concrete cases. To determine the appropriate format, you can book a meeting: Make an appointment with an expert in AI training for businesses.
Get back to basics: guided workshops, targeted use cases and clarified usage rules, then relaunch the application in the field with support. You can also start from a needs analysis with the AI and automation expert.