NVIDIA DLI–Transformer-based NLP Applications Training Course
Key information
Upcoming sessions
Would you like to schedule this training on a specific date? Contact us by email or via the contact form.
Description of the training: NVIDIA DLI–Transformer-based NLP Applications Training Course
The NVIDIA Deep Learning Institute (DLI) is NVIDIA’s official training programme dedicated to AI, deep learning and GPU-accelerated computing. DLI courses are designed and validated by NVIDIA, award an official certificate and provide access to pre-configured GPU environments.
What are Transformers in NLP?Transformers are a neural network architecture introduced in 2017 (“Attention is All You Need”) that revolutionised natural language processing (NLP). They are the foundation of models such as BERT, GPT, T5 and LLaMA. The MFE-IT training teaches you how to use them.
What are the prerequisites for the NVIDIA DLI NLP training?A good command of Python, deep learning fundamentals (neural networks, backpropagation) and familiarity with PyTorch or TensorFlow are recommended. No installation is required: NVIDIA provides a cloud GPU environment. The training is tailored to the participant’s profile.
How long is the NVIDIA DLI NLP training at MFE-IT?The MFE-IT training lasts 1 day (7 hours), in a fully tailored format with a maximum of 3 participants per session. It covers intensively: text data preparation, tokenisation, fine-tuning a pre-trained Transformer model, optimised inference and deployment. An NVIDIA certificate is awarded on completion and 30 days of post-training support are included.
{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What is NVIDIA DLI?","acceptedAnswer":{"@type":"Answer","text":"The NVIDIA Deep Learning Institute (DLI) is NVIDIA’s official training programme dedicated to AI, deep learning and GPU-accelerated computing. DLI courses are designed and validated by NVIDIA, award an official certificate and provide access to pre-configured GPU environments."}},{"@type":"Question","name":"What are Transformers in NLP?","acceptedAnswer":{"@type":"Answer","text":"Transformers are a neural network architecture introduced in 2017 ("Attention is All You Need") that revolutionised natural language processing (NLP). They are the foundation of models such as BERT, GPT, T5 and LLaMA. The MFE-IT training teaches you how to use them."}},{"@type":"Question","name":"What are the prerequisites for the NVIDIA DLI NLP training?","acceptedAnswer":{"@type":"Answer","text":"A good command of Python, deep learning fundamentals (neural networks, backpropagation) and familiarity with PyTorch or TensorFlow are recommended. No installation is required: NVIDIA provides a cloud GPU environment. The training is tailored to the participant’s profile."}},{"@type":"Question","name":"How long is the NVIDIA DLI NLP training at MFE-IT?","acceptedAnswer":{"@type":"Answer","text":"The MFE-IT training lasts 1 day (7 hours), in a fully tailored format with a maximum of 3 participants per session. It covers intensively: text data preparation, tokenisation, fine-tuning a pre-trained Transformer model, optimised inference and deployment. An NVIDIA certificate is awarded on completion and 30 days of post-training support are included."}}]} .elementor-accordion .elementor-tab-title .elementor-accordion-icon{margin-right:10px}.elementor-accordion .elementor-tab-title .elementor-accordion-icon + a,.elementor-accordion .elementor-tab-title .elementor-accordion-title{padding-left:4px}Good to know
Training delivered in French, original content in English. Our sessions are guaranteed from a single registrant, with no risk of postponement (except in cases of force majeure). A prior interview takes place between the participant and a company representative to fully take into account the participant’s profile (level, needs, professional context, challenges, etc.). Evaluation: during the training, the trainer assesses participants’ learning progress through quizzes, role-plays and practical exercises. Participants receive a certificate of achievement at the end of the training. This training is part of our catalogue. Discover our other AI training courses to fully harness the potential of machine learning, LLMs and generative AI.
Objectives of the training: NVIDIA DLI–Transformer-based NLP Applications Training Course
- By the end of this training:
- Understand the Transformer architecture and attention mechanisms
- Use pre-trained models (BERT, GPT) for NLP tasks
- Fine-tune models for text classification
- Implement named entity recognition (NER)
- Build question-answering systems
- Deploy NLP models with NVIDIA NeMo and TensorRT
Prerequisites of the training: NVIDIA DLI–Transformer-based NLP Applications Training Course
Experience in Python and a grasp of deep learning concepts. The NVIDIA DLI Fundamentals of Deep Learning training is recommended. Because every participant is unique, a personalised interview with our expert allows us to design a training course perfectly aligned with their goals, level and professional challenges.
Target audience of the training: NVIDIA DLI–Transformer-based NLP Applications Training Course
Developers, data scientists, NLP engineers, researchers and professionals wishing to master Transformers for natural language processing.
Detailed programme of the training: NVIDIA DLI–Transformer-based NLP Applications Training Course
Transformer architecture and pre-trained models
- Attention mechanisms and the Transformer architecture
- BERT, GPT models and their variants
- Tokenisation and text embeddings
- Lab: exploring pre-trained models with NVIDIA NeMo
Text classification and sentiment analysis
- Fine-tuning BERT for classification
- Sentiment analysis and categorisation
- Text data augmentation techniques
- Lab: a fine-tuned text classifier
Entity recognition and question answering
- NER: identifying entities in text
- Extractive question-answering systems
- Text generation with Transformers
- Lab: NER and QA pipeline
Deployment and optimisation
- Inference optimisation with TensorRT
- Deployment on NVIDIA GPUs
- Production best practices
- Final assessment for the NVIDIA DLI certificate
Course highlights
- Focuses on NLP applications built on Transformers
- Covers the Transformer architecture and attention mechanisms
- Delivers a 100% hands-on, GPU-based learning experience
- Awards a recognised NVIDIA DLI certificate
FAQ
What is NVIDIA DLI?
The NVIDIA Deep Learning Institute (DLI) is NVIDIA’s official training programme dedicated to AI, deep learning and GPU-accelerated computing. DLI courses are designed and validated by NVIDIA, award an official certificate and provide access to pre-configured GPU environments.
What are Transformers in NLP?
Transformers are a neural network architecture introduced in 2017 (“Attention is All You Need”) that revolutionised natural language processing (NLP). They are the foundation of models such as BERT, GPT, T5 and LLaMA. The MFE-IT training teaches you how to use them.
What are the prerequisites for the NVIDIA DLI NLP training?
A good command of Python, deep learning fundamentals (neural networks, backpropagation) and familiarity with PyTorch or TensorFlow are recommended. No installation is required: NVIDIA provides a cloud GPU environment. The training is tailored to the participant’s profile.
How long is the NVIDIA DLI NLP training at MFE-IT?
The MFE-IT training lasts 1 day (7 hours), in a fully tailored format with a maximum of 3 participants per session. It covers intensively: text data preparation, tokenisation, fine-tuning a pre-trained Transformer model, optimised inference and deployment. An NVIDIA certificate is awarded on completion and 30 days of post-training support are included.