Loading...
Please wait a moment
New
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 Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Jun 1, 20268 min readGlasgow
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiNov 1, 20268 min readSheffieldCybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiDec 1, 20269 min readOklahoma CityNo-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiNov 1, 20268 min readLeedsThe TensorFlow Training - Optimizing and Deploying Advanced DL Models 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 - Optimizing and Deploying Advanced DL Models 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 - Optimizing and Deploying Advanced DL Models 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.
Discover custom layers and hybrid models with TensorFlow, modeling deep convolutional networks for computer vision, then move to RNN and LSTM for sequential processing, with exercises on real datasets like CIFAR-10, optimizing hyperparameters via TensorBoard, and produce a first trained model deliverable for immediate performance analysis.
Dive into TensorFlow's graph mode to accelerate training, integrate TPUs via Colab Pro for x10 speed gains, apply pruning and quantization techniques on pre-trained models like BERT, perform comparative benchmarks with PyTorch, and generate optimization reports proving latency reductions up to 70%, ready for enterprise integration.
Build end-to-end pipelines with Kubeflow and TensorFlow Extended, integrate MLflow for experiment tracking, deploy via Docker and Kubernetes with automated tests, monitor model drift in real-time on concrete e-commerce cases, and validate workflow reproducibility, resulting in a functional, certifiable MLOps prototype for your team.
Master TensorFlow Serving for high-scale inferences, convert models to TFLite for edge deployment on mobile and IoT, scale with Kubernetes and auto-scaling, test on real use cases like anomaly detection in finance, integrate secure APIs, and finalize with a deliverable capstone project, with final optimization for immediate production.
10 participants max.
$5,280 / per person
4 days
distancielTarget audience
Data scientists, machine learning engineers, AI developers, and MLOps architects in enterprises seeking to advance their TensorFlow skills for complex professional projects.
Prerequisites
Mastery of Python, solid knowledge of basic TensorFlow, supervised/unsupervised machine learning, linear algebra, and frameworks like Keras.
Loading...
Please wait a moment
Share in 2 clicks
Avancée
€2,100.002 journées
distanciel10 pers. max.Avancée€4,200.004 journéesdistanciel10 pers. max.Novice€5,250.005 journéesdistanciel10 pers. max.Avancée€2,100.002 journéesdistanciel10 pers. max.