Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the MiniGPT pour les Professionnels : Initiation et Mise en Œuvre Rapide training are: Bases en Python recommandées, notions fondamentales de machine learning souhaitées. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the MiniGPT pour les Professionnels : Initiation et Mise en Œuvre Rapide training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

MiniGPT pour les Professionnels : Initiation et ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The MiniGPT pour les Professionnels : Initiation et Mise en Œuvre Rapide training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the MiniGPT pour les Professionnels : Initiation et Mise en Œuvre Rapide training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the MiniGPT pour les Professionnels : Initiation et Mise en Œuvre Rapide training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Comprendre les concepts fondamentaux de MiniGPT et des modèles de vision et langage

Installer et configurer MiniGPT sur sa propre machine ou dans un environnement cloud

Explorer les capacités d’analyse et de génération de MiniGPT sur des paires image-texte

Créer et personnaliser des scénarios d’utilisation concrets adaptés à son secteur d’activité

Évaluer les limites, enjeux éthiques et meilleures pratiques d’utilisation de MiniGPT

Training program

Module 1Décryptage de MiniGPT et des modèles Multimodaux

Présentation de la famille des modèles GPT et du concept de modèles multimodaux ; panorama des usages de MiniGPT. Explication du pipeline technique image-texte : encodage visuel, génération textuelle, scoring. Introduction à l’architecture modulaire de MiniGPT.

Module 2Prise en Main Pratique : Installation et Premiers Pas

Mise en place d’un environnement Python adapté (CUDA, torch, dépendances). Téléchargement du modèle MiniGPT. Cas de déploiement en local ou sur Google Colab. Tester MiniGPT sur des exemples simples d’interprétations d’images et de conversation image-texte.

Module 3Applications Avancées et Adaptation à son Business

Développement de cas d’usage concrets : extraction d’informations visuelles, génération de descriptions d’images, dialogue contextuel, automatisation de tâches support (analyse de documents, FAQ illustrées, prototypage d’outils internes). Initiation à la personnalisation (prompt engineering). Discussions sur l'intégration dans les workflows professionnels. Aspects réglementaires, sécurité des données, éthique. Synthèse de la formation et ressources avancées.