Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover why advanced Excel formulas training is crucial for business professionals in March 2026. Explore key formulas, trends, and top training programs to boost your data skills and career.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Without intermediate TensorFlow mastery, your AI models remain slow, tripling inference time and costing 20 000€ annually in useless cloud resources.
70% of deep learning projects fail due to lack of optimization, leading to CA losses of 50 000€ for SMEs.
Untrained data scientists spend hours debugging simple errors, delaying product launches by 2 months.
Risk of dependency on expensive freelancers (150€/h) instead of internal autonomy.
Invest 21h to avoid these pitfalls and accelerate your AI ROI by 40%.
The TensorFlow Training - Master High-Performance Deep Learning 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.
To ensure the quality of the TensorFlow Training - Master High-Performance Deep Learning training, Learni provides the following 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.
The assessment of skills acquired during the TensorFlow Training - Master High-Performance Deep Learning training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Install TensorFlow and Keras in a virtual environment, manipulate tensors with practical exercises on MNIST, build your first dense network, train it on simulated GPU, visualize learning curves with TensorBoard, export a simple ready-to-use model, while resolving common errors for immediate autonomy.
Dive into CNNs for image classification via CIFAR-10, apply transfer learning on ResNet, code RNNs for time series analysis, experiment with data augmentation, optimize hyperparameters with GridSearch, generate predictions on custom datasets, and integrate callbacks for real-time monitoring that boosts your AI projects.
Profile your models to reduce inference by 40%, quantize with TensorFlow Lite, deploy via Docker and TensorFlow Serving, test as REST API on real e-commerce cases, export to ONNX for multi-platforms, create an end-to-end pipeline with certified final deliverable, and master advanced debugging for flawless enterprise deployments.
Target audience
Data scientists, machine learning engineers, AI developers seeking to advance their TensorFlow skills.
Prerequisites
Mastery of Python, basics in machine learning, experience with NumPy and Pandas.
Loading...
Please wait a moment





























