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Training Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
12 people max.

Request a quote See the program

Ref: JVT547

12 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of TensorFlow, your Machine Learning and Deep Learning projects multiply implementation errors, stalling innovation and wasting valuable resources.
Companies without expertise lose an average of 40% of development time on AI models, equivalent to 250 000 € annually for a team of 10 engineers.
85% of Deep Learning project failures stem from improper use of frameworks like TensorFlow, exposing the company to massive competitive losses and jeopardizing data scientists' careers.
Every quarter without solid skills, your market position erodes against competitors deploying AI at industrial scale.

Trusted by — schools, companies and industrial groups

25,718 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Understand the foundations and principles of TensorFlow
Install the TensorFlow environment and manipulate associated libraries
Create and train Machine Learning and Deep Learning models
Optimize and evaluate the performance of AI models
Deploy a TensorFlow model in production

Program

Module 1Introduction to Machine Learning and TensorFlow

Overview of Machine Learning, TensorFlow ecosystem, installation and configuration of TensorFlow (CPU/GPU), first scripts: tensor manipulation and basic operations. Initiate a project and structure a notebook.

Module 2Data, Preprocessing, and Linear Models

Loading and preparing data (NumPy/Pandas TF Data), normalization and dataset splitting, first regressions with Estimators API, designing a supervised learning pipeline.

Module 3Neural Networks and Deep Learning with Keras

Introduction to Keras, creating sequential models for classification, loss functions, training loops, overfitting, dropout and regularization, learning curves and advanced metrics.

Module 4Optimization, Saving, and Model Evaluation

Optimizers (SGD, Adam, RMSprop), callbacks and early stopping, saving and restoring models, debugging TensorFlow models, evaluation on real datasets, iterative improvements.

Module 5Deployment and Advanced Topics

Export and deployment with TensorFlow Serving and Lite, introduction to TensorBoard, model versioning, best practices and security in production, case study and end-of-training mini-project.

Evaluation method

Ongoing project evaluated by the trainer
Practical challenges at the end of each day
Final multiple-choice quiz to validate learning outcomes

Learning method

Practical workshops and hands-on exercises
Real-world inspired case studies
Provided course materials and code notebooks
Access to complementary resources (videos, recommended readings)

Methods, materials and delivery

The Training Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow training?+

They can understand the foundations and principles of TensorFlow, install the TensorFlow environment and manipulate associated libraries and create and train Machine Learning and Deep Learning models. Those are the stated objectives of the Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow program at Intermediate level, checked by the end-of-session assessment.

What does the Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow program cover, day by day?+

Day 1: Introduction to Machine Learning and TensorFlow. Day 2: Data, Preprocessing, and Linear Models. Day 3: Neural Networks and Deep Learning with Keras. Day 4: Optimization, Saving, and Model Evaluation. Day 5: Deployment and Advanced Topics. The Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow program runs over 5 days, delivered on site.

How is Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow training assessed?+

Assessment relies on ongoing project evaluated by the trainer, practical challenges at the end of each day and final multiple-choice quiz to validate learning outcomes. Learni issues a completion certificate together with the individual assessment report at the end of the Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow program, which an L&D team can file as evidence.

How much does Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow training cost per participant?+

Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow training take?+

5 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: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow training?+

Good knowledge of Python and basic understanding of mathematics and statistics.

Is a certificate issued after Mastering TensorFlow: Getting Started with Artificial Intelligence Using TensorFlow 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: Getting Started with Artificial Intelligence Using TensorFlow 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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