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.
Training: Mastering TensorFlow: From Initiation to Production
Trusted by — schools, companies and industrial groups
41,182 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
TensorFlow training objectives
- Understand the functioning and architecture of TensorFlow
- Build, train and evaluate classic deep learning models (neural networks, CNN, RNN)
- Practice deploying models in production
- Optimize and monitor TensorFlow model performance
Program
TensorFlow curriculum: 3 modules over 3 days
Module 1 : Introduction to TensorFlow and deep learning foundations
Presentation of the TensorFlow ecosystem, fundamental concepts of deep learning, installation and exploration of the TensorFlow API, tensor manipulation and basic operations, workflow for building a simple model.
Module 2 : Advanced modeling with TensorFlow
Creation of different types of neural networks (MLP, CNN, RNN), managing overfitting with regularization and dropout, using callbacks, managing and visualizing training with TensorBoard, introduction to Keras.
Module 3 : Deployment and optimization
Exporting and saving models, deployment on server or in the cloud, adaptation for production, monitoring and continuous evaluation, converting models for mobile or IoT use, MLOps best practices with TensorFlow.
How TensorFlow skills are assessed
- Hands-on scenario: creation and deployment of a classification model from real data
- MCQ at the end of the training
- Group review of practical exercises
How the TensorFlow course is taught
- Alternation of theory, demonstrations and hands-on practice
- Real-world case studies from the professional environment
- Detailed course materials with code examples
TensorFlow training: access and practical arrangements
The Training: Mastering TensorFlow: From Initiation to Production 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 Training: Mastering TensorFlow: From Initiation to Production 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 Training: Mastering TensorFlow: From Initiation to Production 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
How Learni guarantees the quality of your TensorFlow training
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
TensorFlow: frequently asked questions
What can participants do after Training: Mastering TensorFlow: From Initiation to Production training?+
They can understand the functioning and architecture of TensorFlow, build, train and evaluate classic deep learning models (neural networks, CNN, RNN) and practice deploying models in production. Those are the stated objectives of the Training: Mastering TensorFlow: From Initiation to Production program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering TensorFlow: From Initiation to Production program cover, day by day?+
Day 1: Introduction to TensorFlow and deep learning foundations. Day 2: Advanced modeling with TensorFlow. Day 3: Deployment and optimization. The Training: Mastering TensorFlow: From Initiation to Production program runs over 3 days, delivered on site.
How is Training: Mastering TensorFlow: From Initiation to Production training assessed?+
Assessment relies on hands-on scenario: creation and deployment of a classification model from real data, MCQ at the end of the training and group review of practical exercises. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering TensorFlow: From Initiation to Production program, which an L&D team can file as evidence.
How much does Training: Mastering TensorFlow: From Initiation to Production training cost per participant?+
Training: Mastering TensorFlow: From Initiation to Production training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Mastering TensorFlow: From Initiation to Production training take?+
3 days, 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 Training: Mastering TensorFlow: From Initiation to Production 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 Training: Mastering TensorFlow: From Initiation to Production training?+
Good understanding of Python and machine learning basics.
Is a certificate issued after Training: Mastering TensorFlow: From Initiation to Production 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 Training: Mastering TensorFlow: From Initiation to Production 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.
Your professional training, anywhere
Let's build your TensorFlow learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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