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.
Advanced TensorFlow Training - Deploy High-Performance AI Models
Trusted by — schools, companies and industrial groups
25,717 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Learning objectives
- Optimize hyperparameters using TensorBoard and advanced callbacks
- Implement complex CNN and RNN architectures
- Master distributed training on GPU/TPU
- Deploy models to production using TensorFlow Serving
- Integrate TensorFlow with Docker and Kubernetes
- Analyze and debug performance in real time
Program
Module 1Advanced TensorFlow: Model Optimization and Deployment (TensorFlow 2.x, Keras, TensorBoard)
Dive into practical exercises on real datasets to optimize your models with TensorBoard, implement advanced CNNs and RNNs on concrete cases like image recognition, configure distributed training on GPUs, deploy via TensorFlow Serving and Docker with production-ready deliverables, benefit from interactive coaching to transform your AI skills into immediate results and boost your career.
Evaluation method
- Interactive quizzes, practical exercises, final project with personalized feedback
Learning method
- Intensive hands-on sessions, real-world case studies, production simulations
Methods, materials and delivery
The Advanced TensorFlow Training - Deploy High-Performance AI Models 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 Advanced TensorFlow Training - Deploy High-Performance 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 High-Performance 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
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.
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.
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
Frequently asked questions
Which tools are used in Advanced TensorFlow Training training?+
Hands-on work runs on tensorFlow 2.x, keras and tensorBoard. Those tools come from the Advanced TensorFlow Training program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after Advanced TensorFlow Training training?+
They can optimize hyperparameters using TensorBoard and advanced callbacks, implement complex CNN and RNN architectures and master distributed training on GPU/TPU. Those are the stated objectives of the Advanced TensorFlow Training program at Advanced level, checked by the end-of-session assessment.
How is Advanced TensorFlow Training training assessed?+
Assessment relies on interactive quizzes, practical exercises, final project with personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Advanced TensorFlow Training program, which an L&D team can file as evidence.
How much does Advanced TensorFlow Training training cost per participant?+
Advanced TensorFlow Training training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does Advanced TensorFlow Training training take?+
1 day, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Advanced TensorFlow Training training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Advanced TensorFlow Training training?+
Proficiency in Python, solid foundations in TensorFlow and Keras, experience in deep learning and real-world datasets.
Is a certificate issued after Advanced TensorFlow Training training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Advanced TensorFlow Training training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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