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    Natural language processing from tokenisation to production.

    Course · NLPDuration · 10 weeksLevel · Intermediate — Advanced

    Ten weeks mastering NLP: text preprocessing, classical techniques, transformers, fine-tuning, and building production NLP applications with modern LLMs.

    What you'll walk away with

    Outcomes by program end.

    • 01Text preprocessing, tokenisation, and feature engineering
    • 02Transformer architecture and attention mechanism intuition
    • 03Fine-tuning models for classification, NER, and summarisation
    • 04Production NLP pipeline with evaluation and monitoring

    Week-by-week

    Syllabus in order.

    1. Week 1–2
      Text fundamentals

      Tokenisation, stemming, TF-IDF, text cleaning.

    2. Week 3–4
      Classical NLP

      Naive Bayes, word embeddings, Word2Vec, GloVe.

    3. Week 5–6
      Transformers

      Attention, BERT, GPT, Hugging Face pipelines.

    4. Week 7–8
      Fine-tuning

      Classification, NER, summarisation, LoRA, PEFT.

    5. Week 9–10
      Capstone NLP app

      Build, evaluate, and deploy an NLP application.

    Next course

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