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Training: Mastering Transformers - Architecture, Applications and Hands-on Practice

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

On quote$3,465

3 days
Onsite
8 people max.

Request a quote See the program

Ref: NKN335

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 mastering Transformers, your AI models stagnate at performance levels 40% below market standards, rendering NLP and computer vision applications obsolete.
Companies lose an average of 250 000 € per year on failed or delayed projects, with 70% of incidents tied to poorly optimized architectures and faulty implementation practices.
Each month without these essential skills, your teams waste 200 hours on unnecessary debugging, exposing the company to market share loss against agile competitors.
Your career and your team's face rapid obsolescence in a sector where Transformers drive 90% of AI advances.

Trusted by — schools, companies and industrial groups

25,728 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Understand the architecture of Transformers and key concepts (Self-Attention, Embeddings, Position Encoding)
Identify the main variants: BERT, GPT, T5, etc.
Implement and train Transformer models on NLP tasks
Adapt and fine-tune pre-trained models for specific problems
Optimize performance and manage large datasets

Program

Module 1Introduction to Transformers and Fundamentals

• State of the art in NLP – From RNN/LSTM to Transformers • Understanding Self-Attention and the importance of embeddings • Detailed presentation of the Transformer model and its architecture (encoder/decoder) • Interactive demonstrations on Colab

Module 2Variants and Practical Applications

• Focus on BERT and GPT: differences, common uses • Using pre-trained models (HuggingFace, TensorFlow, PyTorch) • Setting up pipelines for classification, text generation, automatic summarization • Practical exercises: implement a sentiment analysis task

Module 3Fine-tuning, Optimization and Deployment

• Fine-tuning on a custom dataset – advanced techniques • Memory management and training time optimization • Interpretability and ethical limitations of Transformer models • Deploy an NLP Transformer model in production (Flask/FastAPI API) • Final workshop: complete fine-tuning and production deployment project

Evaluation method

MCQs and practical questions after each module
Red thread project: creation and deployment of a custom Transformer model

Learning method

Theoretical courses with real case studies
Interactive notebooks to complete
Personalized Q&A sessions and feedback on exercises
Detailed training materials (slides, notebooks, code examples)

Methods, materials and delivery

The Training: Mastering Transformers - Architecture, Applications and Hands-on 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 Transformers - Architecture, Applications and Hands-on 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 Transformers - Architecture, Applications and Hands-on 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 Training: Mastering Transformers training?+

They can understand the architecture of Transformers and key concepts (Self-Attention, Embeddings, Position Encoding), identify the main variants: BERT, GPT, T5, etc and implement and train Transformer models on NLP tasks. Those are the stated objectives of the Training: Mastering Transformers program at Intermediate level, checked by the end-of-session assessment.

What does the Training: Mastering Transformers program cover, day by day?+

Day 1: Introduction to Transformers and Fundamentals. Day 2: Variants and Practical Applications. Day 3: Fine-tuning, Optimization and Deployment. The Training: Mastering Transformers program runs over 3 days, delivered on site.

How is Training: Mastering Transformers training assessed?+

Assessment relies on MCQs and practical questions after each module and red thread project: creation and deployment of a custom Transformer model. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Transformers program, which an L&D team can file as evidence.

How much does Training: Mastering Transformers training cost per participant?+

Training: Mastering Transformers 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 Training: Mastering Transformers 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 Transformers 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 Transformers training?+

Python basics and fundamental understanding of machine learning.

Is a certificate issued after Training: Mastering Transformers 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 Transformers 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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