AI for Natural Language Processing (NLP) – Advanced
Design, fine-tune, and deploy cutting-edge NLP models using TensorFlow / Keras and Hugging Face.
Get Course Info
Audience: Developers · Data Analysts · Data Scientists
Duration: 3 days
Format: Lectures & hands-on labs (50 % / 50 %)
Overview
Take NLP skills to the next level with advanced deep-learning architectures and state-of-the-art models such as BERT and Hugging Face Transformers. Participants build, fine-tune, and deploy modern NLP pipelines for sentiment analysis, translation, and more.
Objective
Design, fine-tune, and deploy cutting-edge NLP models using TensorFlow / Keras and Hugging Face.
What You Will Learn
- Advanced topic modelling & Gensim
- Neural Network frameworks: TensorFlow & Keras
- Deep-learning models for NLP (LSTM, RNN, Transformers)
- Pre-trained Transformer models: ELMo, ULMFiT, BERT
- Fine-tuning BERT with Hugging Face
- Conversational AI with Rasa
Course Details
Audience: Developers · Data Analysts · Data Scientists
Duration: 3 days
Format: Lectures & hands-on labs (50 % / 50 %)
- Intro-level NLP or ML
- Python & Jupyter notebooks
Setup: Cloud-based lab · Laptop · Chrome
Detailed Outline
- AI vocabulary refresher
- Public datasets & benchmarks
- LDA
- Gensim
- Lab
- Perceptrons
- Activation functions
- Optimisers
- Backpropagation
- GPU / TPU
- TF API
- Lab
- Text prediction
- Named-entity extraction
- Automatic translation
- Attention mechanism
- Bidirectional LSTM
- BERT use-cases
- Fine-tuning with Hugging Face
- Rasa framework
- Group exercise & presentations
Ready to Get Started?
Contact us to learn more about this course and schedule your training.