Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Deploy TensorFlow models in production with TensorFlow Serving
- Optimize neural network performance via pruning and quantization
- Implement advanced architectures like Transformers and GANs
- Manage massive datasets with tf.data and Distributed Training
- Integrate TensorFlow with Kubernetes and edge devices
- Develop scalable end-to-end pipelines
- Evaluate and monitor models in real-time
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without advanced TensorFlow mastery, 70% of deep learning projects fail in the deployment phase, wasting thousands of hours and budgets on slow or non-scalable models.
Your competitors optimize at 5x speed, capturing 40% more market share via performant AI.
Risk of critical latencies: 80% of mobile apps crash without TensorFlow Lite.
Revenue loss: a poorly tuned model costs 50k€/year in useless infrastructure.
Stay behind in the face of exploding data (exabytes/day), or invest to boost ROI x3 on your AI initiatives starting tomorrow.
Program
Module 1Day 1: Advanced TensorFlow Architectures: CNN, RNN, Transformers (Keras, tf.keras)
Dive into the cores of TensorFlow 2.x, implement custom CNNs for computer vision, code RNNs with LSTM/GRU for NLP, test on ImageNet and IMDB datasets, create your first functional Transformers, generate deliverables like ready-to-scale notebooks, while mastering callbacks for smooth and performant training.
Module 2Day 2: TensorFlow Model Optimization: Pruning, Quantization, XLA (TensorRT)
Accelerate your models by applying pruning and quantization on deep networks, integrate XLA to compile and boost inferences, experiment on concrete cases like ResNet-50, measure 5x speed gains, produce lightweight models for mobile, with hands-on exercises that transform your skills into concrete industry assets.
Module 3Day 3: TensorFlow Deployment: Serving, Lite, ONNX (Kubernetes basics)
Master deployment with TensorFlow Serving for scalable APIs, convert to TensorFlow Lite for edge computing, export to ONNX for interoperability, deploy on Docker/Kubernetes live, test latencies under load, deliver functional REST services, an immersive session that propels you towards immediate professional deployments.
Module 4Day 4: Advanced TensorFlow Data Pipelines: tf.data, TFX, Distributed Training
Build massive pipelines with tf.data for petabyte datasets, integrate TensorFlow Extended for complete MLOps, activate distributed training on multi-GPU/TPU, optimize throughput x10, apply to real cases like recommendation systems, generate automated workflows, a day that revolutionizes your data management in production.
Module 5Day 5: Integrated TensorFlow Projects: GANs, Federated Learning, Monitoring
Synthesize by coding a GAN for image generation, implement Federated Learning with TFF, monitor with TensorBoard and Prometheus, deploy an end-to-end scalable project, present your live portfolio, leave with certificates and source codes, conclude as an expert ready to conquer the most cutting-edge AI challenges.
Evaluation method
- Continuous evaluation via quizzes, supervised final project, Qualiopi recognized certification
Learning method
- 80% hands-on practice, 20% applied theory, real business cases
Methods, materials and delivery
The Advanced TensorFlow Training - Deploy Scalable and Optimized AI Models program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Advanced TensorFlow Training - Deploy Scalable and Optimized AI Models program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Advanced TensorFlow Training - Deploy Scalable and Optimized AI Models program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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