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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Set up an optimized TensorFlow environment
- Implement convolutional neural networks
- Optimize models with Keras and TensorFlow
- Deploy AI applications in production
- Analyze and debug model performance
- Integrate TensorFlow into data pipelines
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
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%.
Program
Module 1TensorFlow Fundamentals: Installation and First Models (Keras Tools, Real Datasets)
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.
Module 2Advanced TensorFlow Models: CNN and RNN (Sequential Methods, Transfer Learning)
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.
Module 3TensorFlow Optimization and Deployment: Production and Scalability (TensorFlow Serving, ONNX)
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.
Evaluation method
- Daily interactive quizzes
- Evaluated practical projects
- Qualiopi certified final project
Learning method
- Alternating theory and practice
- Real business cases
- Unlimited video replay resources
Methods, materials and delivery
The TensorFlow Training - Master High-Performance Deep Learning program is delivered onsite or remote (blended-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 TensorFlow Training - Master High-Performance Deep Learning 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 TensorFlow Training - Master High-Performance Deep Learning 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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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FAQ
Frequently asked questions
How much does the TensorFlow Training - Master High-Performance Deep Learning training cost?+
The individual price is $3,465 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the TensorFlow Training - Master High-Performance Deep Learning training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, basics in machine learning, experience with NumPy and Pandas.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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