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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (5)
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
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
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
