Who are your AI training courses for?

We can train executives, managers, business teams and technical profiles. The content, the exercises and the level of technicality are adapted to the participants' roles and to the uses they will actually encounter.

Do you need prior knowledge of artificial intelligence?

Not for awareness and business-use programmes. For advanced technical courses, we define the prerequisites depending on the topics covered, so that groups are homogeneous.

Are your training courses tailored to our company?

Yes. We can adapt the examples, case studies, tools and exercises to your sector, your business lines and your processes rather than offering only generic training on a tool.

Which topics can be covered?

Generative AI, ChatGPT, Claude, Gemini, prompt engineering, AI agents, automation, RAG, Data, risks, security, governance or technical development can be covered depending on the audience and the objectives.

Do you also train executives and executive committee members?

Yes. For an executive audience, the training focuses more on opportunities, ROI, risks, strategy, governance and use case selection than on the technical handling of the tools.

How long should we allow for an AI training course?

The duration depends on the depth required and on the number of topics. A targeted awareness session and a programme that delivers genuine upskilling do not have the same objectives; we therefore calibrate the format after analysing the need.

Can we work directly on our own use cases?

Yes, when it is relevant and compatible with confidentiality rules. Working on real situations allows participants to leave with methods and uses that can be applied immediately in their day-to-day work.

Do you cover confidentiality, security and AI-related risks?

Yes. The courses can cover data protection, the information that must not be shared with the tools, hallucinations, bias, human checks and governance best practices.

How can adoption really be encouraged after the training?

Training alone is not always enough. We can support it with priority use cases, internal rules, prompt templates, business workshops, documentation and guidance, in order to turn the knowledge acquired into everyday practices.

How is the effectiveness of an AI training programme measured?

Depending on the objective, we can track upskilling, tool adoption, the number of use cases deployed, team autonomy or time saved on certain processes. The aim is for the training to produce concrete uses, not just awareness.

[ AI training & adoption in the workplace ]

Make AI a skill in your company.

We help executives and employees understand, master and adopt artificial intelligence in practice.

From fundamental principles to advanced business uses, our training programmes are tailored to your environment, your tools and your goals.

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All our Data & AI expertise

ThinkAssessment: audiences, starting level and current uses.

BuildGoals, programme, training, practical application.

OperateAdoption: materials, usage rules and post-training support.

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[ They trust us ]

More than 100 French and European companies trust us

[ Expertise ]

Turn AI into real-world uses.

Team & executive training

We build training programmes tailored to the level and responsibilities of the participants.

Executives, managers, business teams or technical staff discover the opportunities, limits and ways of using AI that fit their day-to-day work.

Business workshops & AI talks

We organise sessions designed to raise awareness, inspire and bring use cases to the surface.

Examples and exercises are tailored to the company's sector and business lines.

Support & change management

Rolling out a new tool is not enough to guarantee its adoption.

We support your teams as they evolve their practices, define new processes and gradually integrate AI into their daily work.

Prompt engineering & business use cases

We teach users to structure their requests, provide the right context and make effective use of generative models.

Exercises are built directly on their own use cases.

Data & AI literacy

We explain the essential concepts in plain terms: generative AI, machine learning, agents, data, automation, limits and risks.

The goal is to help everyone understand what these technologies can and cannot do.

Team adoption & autonomy

We pass on methods, templates and best practices so that your teams can gradually put AI to use without always relying on outside support.

Best practices, security & usage governance

We raise awareness of the risks around confidential data, hallucinations, bias, access rights and uncontrolled use.

Clear rules provide a framework for using AI while making its adoption easier.

[ Method ]

Training programmes built around your company.

Let's discuss your project Get a tailored quote

[ DELIVERABLES ]

Your teams leave with something concrete.

By the end of the training, your teams have their own use cases, their own tools and their own rules.

Identified use cases
Prompts and templates
Usage rules
Tested workflows
Governance recommendations
Adoption plan

[ The agency ]

Entrust your project to our experts in AI, data and applications.

Our multidisciplinary team of designers, developers and coaches brings real added value to your solution in the short, medium and long term, thanks to a perfect command of its overall architecture.

30: coaches, developers and solution designers, experts in their fields
200: applications and software products built in-house, tailor-made
98%: happy clients, loyal and ready to continue their project
300: algorithms and code modules, highly functional and 100% adaptable