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 Mistral AI - Déployez des LLMs puissants en production training are: Maîtrise de Python, expérience avec des LLMs comme GPT ou Llama, bases en machine learning.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Mistral AI - Déployez des LLMs puissants en production training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation Mistral AI - Déployez des LLMs puissan... | 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.

Configure your training

Response within 24hNo commitment100% free

9 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Formation Mistral AI - Déployez des LLMs puissants en production 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 Mistral AI - Déployez des LLMs puissants en production 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 Mistral AI - Déployez des LLMs puissants en production 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'architecture des modèles Mistral AI avancés

Optimiser des prompts complexes pour des performances optimales

Réaliser du fine-tuning personnalisé sur datasets propriétaires

Intégrer l'API Mistral dans des applications scalables

Déployer des pipelines RAG sécurisés et efficaces

Analyser et debugger les performances en production

Appliquer Mistral AI à des cas business concrets

Training program

Module 1Architecture Mistral AI : dissection des LLMs (outils Le Chat, API, Mistral 7B)

Plongez dans les entrailles des modèles Mistral, explorez l'architecture MoE et les optimisations quantization, testez en live via playground Le Chat, construisez vos premiers prompts structurés avec JSON mode, analysez les outputs pour identifier les biais, et produisez un rapport comparatif avec GPT-4, tout en gagnant en fluidité pour des projets immédiats.

Module 2Prompt Engineering avancé : techniques RAG et chain-of-thought (outils LangChain, Pinecone)

Maîtrisez les prompts multi-étapes et agents autonomes, intégrez RAG avec embeddings Mistral, pratiquez sur datasets réels via exercices interactifs, optimisez la latence pour des apps temps réel, testez des scénarios d'erreur, et livrez un prototype RAG fonctionnel prêt à scaler, boostant votre efficacité IA dès demain.

Module 3Fine-tuning et optimisation : LoRA, QLoRA (outils Hugging Face, Unsloth)

Apprenez à fine-tuner Mistral 8x7B sur vos données privées, utilisez LoRA pour accélérer sans GPU massif, entraînez sur Colab avec exercices hands-on, évaluez via perplexity et benchmarks, gérez overfitting avec régularisation, et déployez votre modèle customisé en API Docker, transformant vos idées en solutions performantes.

Module 4Déploiement production : scaling et monitoring (outils Kubernetes, Prometheus)

Déployez Mistral en prod avec vLLM et FastAPI, configurez autoscaling sur cloud, monitorez latence et coûts en temps réel, simulez charges extrêmes via stress-tests, sécurisez avec garde-fous éthiques, et finalisez un projet capstone business, comme un chatbot entreprise, pour un ROI immédiat et une expertise reconnue.