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Course Outline
Introduction to Natural Language Generation (NLG)
- Overview of NLG and its applications
- Understanding the NLG pipeline
- Introduction to Python libraries for NLG
Data Collection and Preparation
- Collecting data from various sources
- Cleaning and preprocessing text data
- Organizing content for generation
Language Modeling for NLG
- Introduction to language models
- Training a language model for text generation
- Fine-tuning language models using SpaCy and NLTK
Sentence Planning and Text Structuring
- Planning sentence structure and content flow
- Using templates for text generation
- Customizing text structure based on use cases
Content Generation and Post-Processing
- Generating text from structured data
- Evaluating and refining generated content
- Post-processing and formatting output
Advanced NLG Techniques
- Using neural networks for text generation (e.g., GPT models)
- Handling context and coherence in generated text
- Exploring real-world applications and case studies
Final Project: Building an NLG System
- Defining a project scope
- Building and deploying an NLG system
- Testing and evaluating the system
Summary and Next Steps
Requirements
- Python programming experience
Audience
- Developers
- Data scientists
21 Hours
Testimonials (5)
The exercises we saw in the course were quite useful and applicable to my activities at work. My questions were answered and the examples shared are quite useful.
jocelin salas - BANXICO
Course - Test Automation with Selenium and Python
Machine Translated
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
Course - Machine Learning with Python – 2 Days
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
