Deep Learning for Natural Language Processing (NLP)

Data Science
Deep Learning
Gegevens en AI

Have you ever wondered how AI can revolutionize natural language processing? Throughout our 2-day course, you will delve into cutting-edge methodologies and practical use cases, gaining valuable insights that extend beyond traditional NLP approaches.

Whether you’re a seasoned professional or just starting out in the field, this course is designed to equip you with the knowledge and skills needed to navigate the rapidly evolving landscape of AI and NLP. Join us and unlock the possibilities of AI-driven natural language processing!

Looking to upskill your team(s) or organization?

Rozaliia will gladly help you further with custom training solutions.

Rozaliia Khafizova
Data and AI Training Advisor

+31 6 11 58 19 37

Get in touch

What will you learn?

After the training, you will be able to:

Refresh the fundamentals of NLP: Word embeddings, NLP with traditional machine learning, its limitations, and the transformer architecture.

How to utilize existing models to your text data for various tasks such as text classification, -generation and -translation.

Apply transfer learning to fine-tune existing models on your own datasets for optimal results.

Build a pipeline from raw text input to predictions or text generation.

Use zero- and few shot learning to train your data, even when little or no labelled data is available.

Understand common hyperparameters such as top-k, top-p and temperature for text generation.


  • NLP fundamentals: The history of NLP, word embeddings, and the transformer architecture
  • Use existing models and build pipelines with HuggingFace 
  • Text classification with transformers  
  • Hackathon: Build your own emoji recommender system 

This training is for you, if:

You are already familiar with the concepts of Deep Learning.

You want to boost your skills on Deep Learning for NLP methods.

You want personalized, instructor-led training to learn best practices right from the start.

You are interested in using existing models and pipelines rather than building everything from scratch.

This training is not for you, if:

You are looking for an introduction into Deep Learning (you may be interested in: Introduction to Deep Learning)

Programming, Python and Data Science are your mortal enemies.

You are looking for a course specifically about generative AI (you may be interested in: Building LLM Applications)

You are looking for a non-technical, top-level introduction on AI for NLP.

Why should I follow this training?

Everyone can prompt, but you can build your own AI models for your use case!

Learn from and improve existing models for faster deployment. Learn today, apply tomorrow!

You have lots of data, but no time to label it? Train with zero shot and few shot learning!

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

See you soon!

Course information

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information. 

You will need a laptop to make the most of this course.

For online trainings, conferencing tools such as Zoom or Microsoft Teams will be required.

Meet the Trainers

James Hayward

Meet James Hayward, a data science trainer at Xebia Academy. Get to know him here.

Enrico Erler

Meet Enrico, a data science trainer at Xebia Academy with a passion for Deep Learning and Statistics. Get to know him here.

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