Natural Language Processing

Natural Language Processing

NLP from raw text to production pipelines. Tokenization, embeddings, spaCy, transformers, NER, text classification, fine-tuning BERT, and building real-world NLP systems.

FundamentalsTopics 1–10

·What is NLP?
·Tokenization
·Stemming & Lemmatisation
·Stop Words
·Bag of Words
·spaCy Basics
·NER (Named Entity Recognition)
·POS Tagging
·Dependency Parsing
·Preprocessing Pipeline

Start Fundamentals →

IntermediateTopics 1–10

·Word Embeddings
·Sentence Transformers
·Classification Pipeline
·Sequence Labelling
·Co-reference Resolution
·Text Summarisation
·Machine Translation
·Question Answering
·Information Extraction
·spaCy Pipelines

Start Intermediate →

AdvancedTopics 1–10

·Transformer Fine-Tuning
·Custom NER & Parsing
·Multi-Lingual Models
·Long Document Processing
·RAG (Retrieval-Augmented)
·Knowledge Graphs
·Dialogue Systems
·Decoding Strategies
·LLM Evaluation
·Production Pipelines

Start Advanced →

ProductionTopics 1–10

·Serving NLP Models
·Latency & Throughput
·Model Quantisation
·Monitoring & Drift
·Data Pipelines
·A/B Testing NLP
·Multilingual at Scale
·Cost Optimisation
·CI/CD for NLP
·On-Call & Incident Response

Start Production →