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Neuro Linguistic Programming Course
Discover the power of language with our Neuro Linguistic Programming Course, designed for those working with Business Intelligence here in Zambia. We'll look at the basics of NLP, learning about breaking down text, grouping words, and preparing text for analysis. You'll explore modern computer brain systems like Transformers and RNNs. Improve your abilities with advanced ways of showing text meaning, including contextual embeddings and TF-IDF. Learn how to fine-tune settings, put models to use, and create APIs so you can easily add NLP models to your business plans.
- Learn the basics of NLP: Breaking down text (tokenization), grouping words (lemmatization), and preparing text for analysis (preprocessing).
- Build computer brain systems: Design RNNs, LSTMs, and transformer models to work with language.
- Make models better: Use fine-tuning settings and regularization methods.
- Put NLP solutions to work: Use strategies for deploying models and developing APIs.
- Check performance: Use cross-validation and measurements to see how well models are working.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Discover the power of language with our Neuro Linguistic Programming Course, designed for those working with Business Intelligence here in Zambia. We'll look at the basics of NLP, learning about breaking down text, grouping words, and preparing text for analysis. You'll explore modern computer brain systems like Transformers and RNNs. Improve your abilities with advanced ways of showing text meaning, including contextual embeddings and TF-IDF. Learn how to fine-tune settings, put models to use, and create APIs so you can easily add NLP models to your business plans.
Elevify advantages
Develop skills
- Learn the basics of NLP: Breaking down text (tokenization), grouping words (lemmatization), and preparing text for analysis (preprocessing).
- Build computer brain systems: Design RNNs, LSTMs, and transformer models to work with language.
- Make models better: Use fine-tuning settings and regularization methods.
- Put NLP solutions to work: Use strategies for deploying models and developing APIs.
- Check performance: Use cross-validation and measurements to see how well models are working.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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