TensorFlow Training - Master High-Performance Deep Learning

On quote

  • 3 days
  • Onsite
  • 10 people max.
Ref: PVQ742
10 people max.
On quote
In-company rate: on quote
On-site and certification exam on quote
3 days
Onsite

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%.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,717 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

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

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.

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

Frequently asked questions

Which tools are used in TensorFlow Training training?+
Hands-on work runs on keras Tools, real Datasets, sequential Methods, transfer Learning, tensorFlow Serving and ONNX. Those tools come from the TensorFlow Training program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after TensorFlow Training training?+
They can set up an optimized TensorFlow environment, implement convolutional neural networks and optimize models with Keras and TensorFlow. Those are the stated objectives of the TensorFlow Training program at Intermediate level, checked by the end-of-session assessment.
What does the TensorFlow Training program cover, day by day?+
Day 1: TensorFlow Fundamentals: Installation and First Models (Keras Tools, Real Datasets). Day 2: Advanced TensorFlow Models: CNN and RNN (Sequential Methods, Transfer Learning). Day 3: TensorFlow Optimization and Deployment: Production and Scalability (TensorFlow Serving, ONNX). The TensorFlow Training program runs over 3 days, delivered on site.
How is TensorFlow Training training assessed?+
Assessment relies on daily interactive quizzes, evaluated practical projects and qualiopi certified final project. Learni issues a completion certificate together with the individual assessment report at the end of the TensorFlow Training program, which an L&D team can file as evidence.
How much does TensorFlow Training training cost per participant?+
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 TensorFlow Training 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 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 TensorFlow Training training?+
Mastery of Python, basics in machine learning, experience with NumPy and Pandas.
Is a certificate issued after 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.
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