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 Formation Flowise 2026 - Créer des pipelines IA low-code training are: Connaissances de base en informatique, utilisation courante d'interfaces web, aucune expérience en programmation ou IA requise. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Flowise 2026 - Créer des pipelines IA low-code training is available in présentiel. The format can be adapted to your needs (inter, intra, custom).

Formation Flowise 2026 - Créer des pipelines IA ... | 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 Formation Flowise 2026 - Créer des pipelines IA low-code 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 Formation Flowise 2026 - Créer des pipelines IA low-code 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 Formation Flowise 2026 - Créer des pipelines IA low-code 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

Maîtriser l'interface Flowise 2026 pour des workflows NLP professionnels

Développer des chatbots IA conversationnels sans coder en entreprise

Construire des pipelines de traitement du langage adaptés à vos besoins

Implémenter des compétences certifiantes en Text Mining low-code

Optimiser des agents IA pour des applications réelles et performantes

Acquérir des expertises pratiques en formation professionnelle Qualiopi

Déployer des solutions NLP prêtes à l'emploi pour votre organisation

Training program

Module 1Découverte Flowise 2026 : installation et premiers nodes (outils low-code, chatflows basiques)

Découvrez Flowise 2026 via une installation guidée sur votre machine, explorez l'interface intuitive drag-and-drop pour créer vos premiers nœuds NLP, réalisez des exercices pratiques sur des embeddings texte simples, testez des flux conversationnels basiques avec des modèles open-source comme Llama, analysez les logs pour identifier les erreurs courantes, et produisez un premier livrable : un chatbot prototype fonctionnel prêt à être partagé en équipe professionnelle.

Module 2Flowise 2026 intermédiaire : pipelines Text Mining et RAG (vecteurs, retrieval, intégrations API)

Plongez dans les pipelines avancés Flowise 2026 pour le Text Mining, configurez des chaînes RAG avec bases vectorielles Pinecone ou Weaviate, intégrez des APIs externes comme OpenAI pour enrichir vos données, pratiquez sur des cas concrets d'analyse de sentiments et extraction d'entités, optimisez les performances via des prompts engineering adaptés, collaborez en binôme sur des datasets réels d'entreprise, et validez un livrable intermédiaire : un agent de recherche sémantique déployé localement.

Module 3Déploiement Flowise 2026 : chatbots production et optimisation (Docker, monitoring, sécurité)

Maîtrisez le déploiement en production de vos projets Flowise 2026 avec Docker et Kubernetes basiques, intégrez des outils de monitoring comme LangSmith pour tracer les interactions, renforcez la sécurité des données sensibles en conformité RGPD, testez des scénarios avancés de multi-turn conversations, affinez les modèles via fine-tuning low-code, simulez des usages enterprise avec charge réelle, et finalisez par un projet capstone : un chatbot IA conversationnel scalable, documenté et prêt pour votre infrastructure professionnelle.