Objectives of the training
Learn how to manipulate corpora, train models, and integrate NLP solutions into concrete projects.Targeted audience
• AI developers and engineers • Data scientists • IT project managersPrerequisite
• Basic knowledge of Python. • Understanding of machine learning or data science. • Comfortable with digital tools and development environments.Trainers
Benefits for Participants
• Understand the fundamentals of NLP and its challenges.
• Handle text corpora and perform preprocessing.
• Use NLP libraries such as spaCy, NLTK, or Transformers.
• Design models for classification, generation, or information extraction.
• Integrate NLP solutions into business projects (e.g., chatbots, feedback analysis).
Course architecture
Fundamentals of NLP
Chapter 1: Introduction to NLP
• Definition and history
• Areas of application: healthcare, HR, legal, marketing, etc.
Chapter 2: Text Preprocessing
• Tokenization, lemmatization, stemming
• Text data cleaning
• Stop words and normalization
Chapter 3: Text Representation
• Bag of Words, TF-IDF
• Word embeddings: Word2Vec, GloVe
Workshop 1: Cleaning and vectorizing a text corpus
Manipulating a dataset (e.g., customer reviews or resumes) with NLTK and scikit-learn
Modeling and information extraction
Chapter 4: Text classification models
• Naive Bayes, SVM, neural networks
• Performance evaluation
Chapter 5: Information extraction
• Named entity recognition (NER)
• Extraction of relationships and keywords
Chapter 6: Sentiment analysis
• Supervised methods and lexicons
• Use cases: customer feedback, social networks
Workshop 2: Creating a sentiment classification model
Training a model on product reviews or user comments
Advanced NLP and integration
Chapter 7: NLP with Transformer models
• Introduction to BERT, GPT, RoBERTa
• Fine-tuning and transfer learning
Chapter 8: Text generation and chatbots
• Generative models
• Designing a simple conversational assistant
Chapter 9: Deployment and integration
• NLP APIs (Hugging Face, spaCy)
• Integration into a web or mobile application
Workshop 3: Creating a mini chatbot with Hugging Face Transformers
Developing a conversational assistant to answer HR or medical questions
Pedagogical details
Type of training
Private or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote