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 Keras Initiation - Créez vos premiers modèles IA training are: Bases en Python, notions de NumPy et machine learning introductif.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Keras Initiation - Créez vos premiers modèles IA training is available in présentiel. The format can be adapted to your needs (inter, intra, custom).

Formation Keras Initiation - Créez vos premiers ... | 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

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Formation Keras Initiation - Créez vos premiers modèles IA 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 Keras Initiation - Créez vos premiers modèles IA 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 Keras Initiation - Créez vos premiers modèles IA 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 program

Module 1Introduction à Keras : installation et bases (TensorFlow, Jupyter, datasets MNIST)

Installez Keras et TensorFlow en un clin d'œil, configurez Jupyter Notebook pour des tests rapides, chargez le dataset MNIST, bâtissez votre premier modèle Dense avec activation ReLU, lancez l'entraînement sur GPU si disponible, visualisez les courbes de loss et accuracy, exportez vos prédictions pour valider les résultats immédiats.

Module 2Modèles séquentiels : couches et compilation (API Sequential, optimizers, métriques)

Plongez dans l'API Sequential pour stacker des couches Dropout et BatchNormalization, compilez avec Adam et binary_crossentropy, entraînez sur datasets fashion MNIST, expérimentez callbacks EarlyStopping, analysez les matrices de confusion, générez des rapports de performance automatisés, perfectionnez votre flux de travail end-to-end.

Module 3CNN et architectures avancées : vision par ordinateur (Conv2D, MaxPooling, transfer learning)

Créez des réseaux convolutifs avec Conv2D et MaxPooling sur CIFAR-10, appliquez data augmentation via ImageDataGenerator, fine-tunez VGG16 pré-entraîné, évaluez avec précision et recall, debuggez overfitting par régularisation L2, produisez des heatmaps de prédiction, intégrez ces techniques à vos projets réels.

Module 4Optimisation et déploiement : production ready (GridSearch, model saving, Flask API)

Optimisez hyperparamètres avec Keras Tuner, sauvegardez modèles au format HDF5, déployez via TensorFlow Serving ou Flask, testez inférences en temps réel, mesurez latence et throughput, résolvez erreurs courantes de scaling, repartez avec un portfolio concret et un certificat validant vos acquis.