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 Training TensorFlow - Create Your First AI Models in 5 Days training are: Basic Python knowledge, notions of linear algebra and elementary statistics.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training TensorFlow - Create Your First AI Models in 5 Days training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training TensorFlow - Create Your First AI Model... | 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 Training TensorFlow - Create Your First AI Models in 5 Days 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 Training TensorFlow - Create Your First AI Models in 5 Days 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 Training TensorFlow - Create Your First AI Models in 5 Days 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 to TensorFlow: Installation and First Tensors (Keras, Environments)

Discover TensorFlow by installing the environment via Anaconda, manipulate your first tensors and datasets with practical exercises on real data, create a simple linear model to predict real estate prices, visualize results with Matplotlib, and produce your first deliverable: a functional Jupyter notebook that sparks interest in AI.

Module 2Data and Preprocessing: TensorFlow Datasets Tools (TFDS, Normalization)

Dive into data cleaning with TFDS and Pandas, apply transformations like normalization and augmentation, complete exercises on MNIST and Iris datasets for image classification, generate efficient data pipelines, and validate your skills through a real-world object recognition preprocessing case, deliverable: scalable-ready script.

Module 3Supervised Models: Regression and Classification (Keras Sequential)

Build Sequential models for linear and logistic regression, train them on Boston and Titanic datasets with Adam optimization, test accuracy via learning curves, fine-tune hyperparameters in group sessions on real business cases, and export your trained model as a TensorFlow SavedModel deliverable, an exciting step toward AI automation.

Module 4Neural Networks: Basic CNNs and Evaluation (TensorBoard, Metrics)

Dive into CNNs with Keras for image analysis, code convolutional layers on CIFAR-10, monitor training via TensorBoard to visualize losses, evaluate with precision, recall, and F1-score through practical exercises, optimize with dropout and early stopping, deliverable: high-performing deployable CNN model.

Module 5Deployment and Final Projects: TensorFlow Serving, Integration (Flask API)

Deploy your models via TensorFlow Serving and Flask for real-time predictions, integrate into a simple web app with live data, review projects in peer sessions on e-commerce and healthcare cases, consolidate your skills into a personal portfolio, and leave with a certificate and ready-to-use AI model to boost your CV instantly.