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 LangChain Expert - Agents IA autonomes scalables training are: Maîtrise avancée Python, expérience LLM (OpenAI, HuggingFace), APIs REST, bases vectorielles (Pinecone, FAISS).. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation LangChain Expert - Agents IA autonomes scalables training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation LangChain Expert - Agents IA autonomes... | 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 LangChain Expert - Agents IA autonomes scalables 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 LangChain Expert - Agents IA autonomes scalables 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 LangChain Expert - Agents IA autonomes scalables 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

Concevoir des chaînes LLM complexes avec LCEL et agents réactifs.

Intégrer outils personnalisés et mémoire persistante pour autonomie.

Optimiser performances pipelines via RAG et fine-tuning hybride.

Déployer applications scalables sur cloud avec monitoring avancé.

Déboguer flux multi-agents et analyser traces pour itérations rapides.

Maîtriser LangGraph pour workflows graph-based dynamiques.

Produire prototypes production-ready en 5 jours.

Training program

Module 1Chaînes avancées : LCEL, prompts ingénierie (LangChain core, callbacks).

Plongez dans LCEL pour composer chaînes modulaires, testez prompts dynamiques sur datasets réels, implémentez callbacks pour logging temps réel, réalisez exercices sur parsing structuré JSON, produisez votre premier agent réactif avec outils basiques, gagnez en fluidité pour scaler vos prototypes IA dès le jour 1.

Module 2Agents autonomes : outils, mémoire (RetrievalQA, conversational agents).

Construisez agents avec outils personnalisés via Python functions, intégrez mémoire vectorielle FAISS pour contextes longs, simulez cas clients réels comme chatbots e-commerce, déboguez interactions multi-turns, générez livrables fonctionnels prêts pour tests A/B, ressentez la puissance d'agents qui apprennent seuls.

Module 3RAG optimisé : embeddings, indexation (chromadb, hybrid search).

Maîtrisez RAG avancé avec embeddings HuggingFace, indexez documents massifs sur ChromaDB, optimisez retrieval multi-modal, testez sur datasets enterprise, mesurez précision via ROUGE/BLEU, produisez pipelines hybrides search+LLM, transformez vos données en atouts compétitifs irrésistibles.

Module 4Workflows graph : LangGraph, multi-agents (state management, supervision).

Dessinez graphs conditionnels LangGraph pour décisions complexes, orchestrez équipes multi-agents supervisés, gérez états persistants Redis, simulez scénarios production comme analyse financière, déboguez avec LangSmith traces, déployez démos interactives, accélérez vos innovations IA de 3x.

Module 5Déploiement pro : scaling, monitoring (Docker, LangServe, observability).

Conteneurisez apps LangChain via Docker, exposez APIs FastAPI LangServe, scalez sur AWS/GCP autoscaling, intégrez Prometheus/Grafana monitoring, testez charges 1000 req/s, finalisez projet capstone personnel, repartez certifié avec code production-ready et roadmap déploiement.