Training Mastering TensorFlow: From Basics to Advanced AI Practice

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: KIT975
8 people max.
On quote$3,465
In-company rate: on quotefrom $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without TensorFlow mastery, 85% of machine learning projects fail at the deployment stage, according to Gartner.

  • These failures cost an average of 250 000 € per initiative in lost time and wasted resources, with ineffective models that drag down team productivity.

  • Your company risks ceding 20% of annual market share to competitors mastering AI, while your career stalls amid explosive demand for these skills.

  • Every delay multiplies missed opportunities in scalable AI production.

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

25,718 programs · 25 countries

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

Every program built with a dedicated engineer

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  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Learning objectives

  • Understand the fundamental concepts of TensorFlow and machine learning
  • Install, configure, and use TensorFlow for real-world projects
  • Create, train, and evaluate deep learning models (neural networks) with TensorFlow
  • Process datasets (text, image, numerical) and prepare data pipelines
  • Implement convolutional neural networks (CNN) and recurrent neural networks (RNN) for advanced applications
  • Deploy and export a TensorFlow model for production

Program

Module 1Introduction to TensorFlow and Machine Learning

Overview of the TensorFlow ecosystem, installation, first scripts. Key concepts of supervised and unsupervised machine learning. Execution on CPU and GPU. Introduction to tensors, basic operations, computational graphs. Initiation exercises.

Module 2Creating and Training Neural Models

Programming sequential and functional models with Keras. Building an image classification model on MNIST. Data preparation and preprocessing. Overfitting management, cross-validation, early stopping. Visualization with TensorBoard. In-depth practical exercises.

Module 3Advanced Applications and Deployment

Implementing convolutional neural networks (CNN) for vision, introduction to recurrent neural networks (RNN), sequence and text dataset management, word embeddings. Exporting, saving, and converting TensorFlow models for mobile/web. Production deployment on cloud/server. Review, final quiz, personal project coaching.

Evaluation method

  • Continuous evaluation with practical case studies and mini-projects
  • Final multiple-choice quiz to validate knowledge
  • Optional presentation of a TensorFlow application mini-project

Learning method

  • Interactive sessions with live-coding demonstrations
  • In-depth practical exercises at each step
  • Real-world case studies (image, text, and numerical data processing)
  • Complete course materials provided (PDF, Jupyter notebooks)
  • Access to a code-sharing platform

Methods, materials and delivery

The Training Mastering TensorFlow: From Basics to Advanced AI Practice 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 Basics to Advanced AI Practice 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 Basics to Advanced AI Practice 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

What can participants do after Mastering TensorFlow: From Basics to Advanced AI Practice training?+
They can understand the fundamental concepts of TensorFlow and machine learning, install, configure, and use TensorFlow for real-world projects and create, train, and evaluate deep learning models (neural networks) with TensorFlow. Those are the stated objectives of the Mastering TensorFlow: From Basics to Advanced AI Practice program at Intermediate level, checked by the end-of-session assessment.
What does the Mastering TensorFlow: From Basics to Advanced AI Practice program cover, day by day?+
Day 1: Introduction to TensorFlow and Machine Learning. Day 2: Creating and Training Neural Models. Day 3: Advanced Applications and Deployment. The Mastering TensorFlow: From Basics to Advanced AI Practice program runs over 3 days, delivered on site.
How is Mastering TensorFlow: From Basics to Advanced AI Practice training assessed?+
Assessment relies on continuous evaluation with practical case studies and mini-projects, final multiple-choice quiz to validate knowledge and optional presentation of a TensorFlow application mini-project. Learni issues a completion certificate together with the individual assessment report at the end of the Mastering TensorFlow: From Basics to Advanced AI Practice program, which an L&D team can file as evidence.
How much does Mastering TensorFlow: From Basics to Advanced AI Practice training cost per participant?+
Mastering TensorFlow: From Basics to Advanced AI Practice 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 Mastering TensorFlow: From Basics to Advanced AI Practice 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 Mastering TensorFlow: From Basics to Advanced AI Practice 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 Mastering TensorFlow: From Basics to Advanced AI Practice training?+
Basic Python programming skills, fundamentals in mathematics (linear algebra, statistics).
Is a certificate issued after Mastering TensorFlow: From Basics to Advanced AI Practice 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 Mastering TensorFlow: From Basics to Advanced AI Practice 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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