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 DSPy - Optimiser pipelines IA performants training are: Maîtrise Python avancée, bases LLMs et prompt engineering pratique. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation DSPy - Optimiser pipelines IA performants training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation DSPy - Optimiser pipelines IA performants | 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 DSPy - Optimiser pipelines IA performants 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 DSPy - Optimiser pipelines IA performants 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 DSPy - Optimiser pipelines IA performants 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 access terms and deadlines

Training objectives

Maîtriser modules et signatures DSPy pour programmes IA professionnels

Développer pipelines prompting automatisés en contexte entreprise

Optimiser chaînes raisonnement DSPy avec métriques précises

Implémenter optimiseurs DSPy pour booster performances LLMs

Intégrer DSPy dans applications certifiantes connectées APIs

Déployer solutions DSPy scalables pour projets professionnels

Training program

Module 1Fondamentaux DSPy : installation et signatures pour pipelines IA

Installation rapide de DSPy avec intégration OpenAI ou Hugging Face, création premières signatures pour tâches structurées, exercices pratiques sur classification texte et génération, définition programmes DSPy modulaires, tests initiaux avec métriques précision et cohérence, production livrable premier pipeline fonctionnel adaptable entreprise.

Module 2Modules DSPy : chaînes prompting avancées et assertions

Exploration modules ChainOfThought et ReAct pour raisonnement complexe, implémentation assertions garantissant qualité outputs, ateliers pratiques sur Q&A multihops avec datasets réels, optimisation manuelle prompts via DSPy, analyse logs erreurs courantes, réalisation cas concret RAG entreprise, export code prêt déploiement.

Module 3Optimiseurs DSPy : teleprompting automatisé performances

Configuration optimiseurs BootstrapFewShot et MIPRO pour tuning automatique, lancement compilations sur datasets custom, comparaison avant/après métriques F1-score et latence, exercices tuning pipelines production-like, intégration feedback loops humains, production optimiseurs personnalisés, documentation stratégie optimisation scalable.

Module 4DSPy avancé : multi-modèles et intégrations APIs entreprise

Gestion multi-LLMs dans DSPy avec mixers automatiques, connexion APIs externes comme LangChain ou Pinecone, ateliers développement agent conversationnel optimisé, tests robustesse edge cases, implémentation monitoring métriques runtime, cas étude chatbot e-commerce boosté 40% efficacité, livrable architecture complète modulaire.

Module 5Déploiement DSPy : production sécurisée et monitoring

Conteneurisation pipelines DSPy via Docker, déploiement cloud AWS ou Vercel, setup monitoring Drift et perf avec Prometheus, exercices finalisation projet fil rouge entreprise, audit sécurité prompts injection, plan scaling horizontal, remise code source certifiant, roadmap évolution compétences post-formation.