Training TensorFlow Initiation - Create Your First AI Models

On quote$2,310

  • 2 days
  • Onsite
  • 10 people max.
Ref: GCJ849
10 people max.
On quote$2,310
In-company rate: on quotefrom $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering TensorFlow, your AI projects fail 70% of the time according to Gartner, losing thousands of euros in wasted development time.

  • Fall behind 85% of data scientists who already use TensorFlow to boost their productivity by 40%.

  • Risk inaccurate models causing critical business errors, such as faulty predictions in digital marketing.

  • Miss out on generative AI opportunities exploding the market to 300 billion euros by 2026.

  • Invest now to avoid these losses and turn your data into immediate value.

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

Learning objectives

  • Discover the fundamentals of TensorFlow and Keras
  • Install and configure the TensorFlow environment
  • Manipulate tensors and datasets for machine learning
  • Build simple classification models
  • Evaluate and optimize AI model performance
  • Apply TensorFlow to real business cases

Program

Module 1Day 1: TensorFlow Installation and Basics (tensors, Keras, MNIST datasets)

Dive into TensorFlow by installing the environment via Anaconda and Google Colab, manipulate your first tensors with interactive exercises, explore Keras to build a simple neural network, train it on the MNIST dataset to classify digit images, analyze results in real-time with our experts, leave with a functional model and ready-to-use notebooks.

Module 2Day 2: Advanced Models and Deployment (convolutional networks, evaluation, TensorFlow Serving)

Level up by creating convolutional networks for image recognition, optimize your models with regularization techniques, evaluate them using precise metrics like accuracy and F1-score, deploy a model via TensorFlow Serving on real business cases, test in groups on custom datasets, receive a certificate and resources to continue independently.

Evaluation method

  • Daily practical exercises
  • Final project with expert feedback
  • Interactive quiz on key concepts

Learning method

  • Hands-on pedagogy 80% practical
  • Real business cases
  • Individualized support in small groups

Methods, materials and delivery

The Training TensorFlow Initiation - Create Your First 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 Training TensorFlow Initiation - Create Your First 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 Training TensorFlow Initiation - Create Your First 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.

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 Initiation training?+
Hands-on work runs on tensors, keras, MNIST datasets, convolutional networks, evaluation and tensorFlow Serving. Those tools come from the TensorFlow Initiation program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after TensorFlow Initiation training?+
They can discover the fundamentals of TensorFlow and Keras, install and configure the TensorFlow environment and manipulate tensors and datasets for machine learning. Those are the stated objectives of the TensorFlow Initiation program at Beginner level, checked by the end-of-session assessment.
What does the TensorFlow Initiation program cover, day by day?+
Day 1: Day 1: TensorFlow Installation and Basics (tensors, Keras, MNIST datasets). Day 2: Day 2: Advanced Models and Deployment (convolutional networks, evaluation, TensorFlow Serving). The TensorFlow Initiation program runs over 2 days, delivered on site.
How is TensorFlow Initiation training assessed?+
Assessment relies on daily practical exercises, final project with expert feedback and interactive quiz on key concepts. Learni issues a completion certificate together with the individual assessment report at the end of the TensorFlow Initiation program, which an L&D team can file as evidence.
How much does TensorFlow Initiation training cost per participant?+
TensorFlow Initiation 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 Initiation training take?+
2 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 Initiation 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 Initiation training?+
Basic Python knowledge, programming basics, and elementary statistics.
Is a certificate issued after TensorFlow Initiation 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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