Customized professional training
AI training for training teams
Design engaging learning paths faster, produce your materials and personalize educational activities.
Starting from €1,500 excluding VAT per half-day · Written proposal within 24 working hours, without obligation.
The training in brief
Everything you need to make a decision, in nine lines. The objectives, process, and use cases are below.
- What it is
- A customized training in generative AI For training teams: a maximum of twelve participants, each on their own computer, working on their own learning paths. No lectures or demonstrations: 70% hands-on practice.
- What we work on there
- Your paths and your support : transitioning from learning objectives to a timed sequence, designing activities and assessments based on your reference framework, producing materials and monitoring learners.
- For who
- The teams training, instructional design and skills developmentAll levels, including employees who have never opened the tool.
- Duration and rhythm
- 1 hour 30 minutes or half a dayAvailable in one go or in waves of sessions to cover the entire team. Also available as a webinar.
- Where and in what language
- At your premises anywhere in France, or remotely. French or English.
- Price
- €1,500 to €2,000 excluding VAT Half-day sessions for up to twelve participants, with a sliding scale of prices when sessions are repeated. See our price benchmarks.
- On which tool
- Yours: Copilot, ChatGPT, Claude, Gemini, Mistral or your secure internal assistant. We train within your tenant, without third-party tools.
- Funding
- Eligible for OPCO and ESF+ funding. NextStart is a registered training organization (No. 11756140675): the session is part of your skills development plan, with the agreements and documents expected by your funder.
- Lead time
- Written proposal within 24 business hours, without obligation, after a 30-minute framing exchange.
Why train your training teams in generative AI?
Training teams can design and adapt their resources more quickly while preserving the educational quality, accessibility and reliability of the content.
Long journeys to design
Objectives, sequences, activities and assessments must form a coherent whole adapted to the audience.
Resources that can be adapted for several levels
The same topic must be transformed into an explanation, exercise, case study, quiz and summary resource.
Productions that are sometimes superficial
AI can quickly generate content, but without guaranteeing accuracy, progression, or pedagogical alignment.
Learner data to protect
Individual results, profiles, and feedback require compliant processing and a validated environment.
What your training teams will be able to do upon completion
Six objectives, assessed during the session on the files that your teams bring.
- Develop a comprehensive training program based on an expressed need: objectives, sequence, methods, evaluation, then verify its alignment before validation
- Structure the timed sequence of a session and the accompanying facilitation guidelines, ready to be tested in front of a group
- Develop an assessment aligned with the targeted skills: quiz, criteria-based rubric, or case study, with its answer key.
- Adapting the same content to multiple levels, audiences, and formats without compromising educational objectives
- Recognize superficial, poorly sourced, or pedagogically flawed generated material and correct it before distribution to learners.
- Apply your internal usage rules, the GDPR, and Section 4 of the AI Act to your own records
How we prepare the session with your training contact person
The content, examples and tools are prepared with your subject matter expert before the session.
Feasibility study
Gathering of needs, participant level, constraints and priority use cases.
Customization
Adaptation of the schedule, demonstrations and exercises, then validation with your organization.
Training
Participatory facilitation, guided practical application and distribution of educational materials.
How generative AI is transforming training professions
AI accelerates instructional design, the production of learning materials, and the adaptation of activities. It is especially useful when it allows trainers to dedicate more time to objectives, facilitation, and the quality of learning.
Design routes faster
AI helps to transform objectives and an expert corpus into sequences, activities and initial proposals for a pedagogical approach.
Produce and adapt the materials
Exercises, summaries, FAQs, quizzes and microlearning can be prepared more quickly and then adapted to multiple formats and audiences.
Personalize learning
The same content can be reformulated according to the level, profession or context of the learners without changing the educational objectives.
Controlling the educational quality
The generated content must be verified, sourced where necessary, and aligned with the targeted skills, accessibility, and organizational rules.
The program, hour by hour
A balance designed to understand, practice and then secure uses in the work environment.
Schedule for the half-day (3 hours 30 minutes)
- 0 p.m. to 00 p.m. Fundamentals of generative AI and getting to grips with the chosen tool, memory and personalized instructions, modes of reasoning and in-depth research.
- 0 p.m. to 20 p.m. : prompting method applied to a pedagogical objective, context to be provided to the model, verification of sources and cited references.
- 0 p.m. to 40 p.m. : workshop on your own files. Moving from a need expressed by a client to a program and a timed schedule, breaking down a module into exercises, quizzes and case studies, building a criteria-based evaluation grid with its answer key.
- 2 p.m. to 40 p.m. : construction of a support agent for instructional design, based on your skills framework and your already validated materials.
- 3 p.m. to 10 p.m. : bias and limitations of generated productions, confidentiality of learner data, GDPR, Article 4 of the AI Act and drafting of your rules of use.
The 1 hour 30 minute format follows the same tight structure: 20 minutes of fundamentals, 55 minutes of workshop on two chosen cases, 15 minutes of usage framework.
The instructional design situations we can work on
The exercises are selected according to your priorities. The groupings below retain the details of the situations that can be worked on.
Analysis of the need
- Reformulate the training request
- Identify the skills targeted
- Constructing a positioning questionnaire
- Define the prerequisites
Conception
- Formulate learning objectives
- Building a progression
- Prepare a timed schedule
- Choosing teaching methods
Content
- Write a training module
- Create examples and practical cases
- Prepare the participant materials
- Transforming a document into a presentation
Facilitation
- Prepare the instructions for an exercise
- Create a scenario for a practical exercise
- Anticipate participants' questions
- Adapt the activity to different levels
Evaluation
- Create a quiz
- Constructing an evaluation grid
- Prepare a case study
- Analyze the results and feedback
Quality and promotion
- Prepare the Qualiopi elements
- Write a training program
- Create promotional content
- Analyze the satisfaction questionnaires
Concrete examples of use cases for training teams
Operational resources to extend training on instructional design and production.
Create a quiz to assess learning outcomes →
Create a quiz aligned with the educational objectives, with answer key and marking scheme.
Evaluate a training course and produce a report →
Combine immediate and delayed assessments to produce the report and improvement plan.
Developing the pedagogical framework for a session →
Moving from educational objectives to a timed and sequenced process.
Instructional Design AI Assistant →
Design objectives, activities and assessments based on its framework.
Learning path tutor connected to the LMS →
Monitor the progress of learners and re-engage those who are dropping out.
Create a training course from expert documents →
Transforming a reference corpus into a structured learning path.
Create a presentation from source documents →
Moving from a set of documents to a well-reasoned slide plan.
Follow the skills development plan →
Compare registrations and completions to the training plan and follow up with managers.
Preparing and documenting a job interview →
To define the mandatory interview, the available resources and the expected report.
Transforming an annual review into a development plan →
Moving from expressed wishes to dated and measurable competency objectives.
Your data does not leave your environment
Teaching materials, assessments, learner data: your content and personal information do not leave your environment.
The exercises are based on your real-world situations, never on your actual data. We develop the practical cases with your business expert using anonymized or reconstructed examples, and we work within the environment approved by your IT department: Copilot Chat, Copilot M365, ChatGPT (Enterprise or Azure OpenAI), Gemini, Claude, Mistral, or a locally installed open-source solution for the most sensitive data. No documents, files, or personally identifiable information are transmitted to a public model during the session. The final part of the training is dedicated to GDPR, the AI Act, and the development of your internal usage rules, ensuring that each participant leaves with a clear understanding of what they can and cannot submit to an AI tool.
Copilot M365
Claude
ChatGPT
Gemini
VibeReferences and feedback
Some examples of interventions and feedback from NextStart.AI training courses.
Airbus470 participantsAirbus595 participants
CNES673 participants
Alptis450 participants31 AI Champions
Agirc-Arrco650+ participants
Bristol Myers Squibb237 participants10 AI Champions
Ceva Animal Health209 participants
SATT network173 participants
Cerema145 participants
Engie11 participants
AÉSIO mutual21 participants
Crédit Mutuel13 participantsFrequently asked questions about AI training for training teams
Answers to key questions about level, tools, personalization, and modalities.
Do you need to already know how to use ChatGPT or Copilot?
No. The content is adapted to the level of the participants, from discovery to more advanced methods.
Can the training use our internal tool?
Yes. The session can use the tool approved by your IT department, including Copilot, ChatGPT (Enterprise or Azure OpenAI), Gemini, Claude, Mistral or a local solution.
Can we work on our own use cases?
Yes. Priority situations are selected with your contact person, then transformed into suitable and safe exercises.
What is the difference between the 1 hour 30 minute format and the half-day format?
The shorter format focuses on familiarization and a few demonstrations. The half-day format allows for more hands-on practice with your specific use cases.
Can the training be funded?
Our training courses are eligible for OPCO and ESF+ funding.
Can AI build a complete training program?
It can help to structure a first version, but the instructional designer must check the objectives, progression, activities and assessments.
Can assessments be created during training?
Yes. Participants can produce questions, grids or scenarios, then check their clarity, level and alignment with the objectives.
How much does the training cost?
The price depends on the chosen format, the number of participants, and the number of sessions. We will send you a quote within 24 business hours of our initial discussion. Price ranges for standard formats can be found on the Corporate AI Training page.
How soon can a session be organized?
Allow one to two weeks between your agreement and the session, the time for framing with your training contact, personalization of exercises and validation of the schedule.
What deliverables do the participants receive?
A booklet of about fifty pages, the prompts and agents built during the workshop on your own cases, and the rules of use written collectively at the end of the session.
Let's build your customized training program
Describe your situation in a few lines. We will get back to you within 24 business hours with a proposal tailored to your teams, tools, and schedule.
Do you prefer to call or write? +33 1 89 16 48 05 or hello@nextstart.aiYour contact details are only used to reply to you.
NextStart is a training organization registered under number 11756140675. This registration does not constitute state approval.