Natural Language Processing

About this course

Turn unstructured text into useful models through classification, embeddings, information extraction and pretrained transformers.

This advanced course is part of the AI & Generative AI school. Work through the curriculum below in a instructor-led / cohort format, with an estimated study time of 28 h.

Course curriculum

• Module 1 — Text as Data
• Module 2 — Linear Text Classifiers
• Module 3 — Word Embeddings and Learning from Unlabelled Text
• Module 4 — Sequence Models and Task Design
• Module 5 — Information Extraction
• Module 6 — Pretrained Transformers and Fine-Tuning
• Module 7 — Evaluation, Bias and Robustness
• Module 8 — NLP in Production

Applied learning

• Case study — Harbourline Logistics: the message-triage rollout
• Lab 1 — Triage with a review queue
• Lab 2 — From messages to tickets
• Lab 3 — Lockers: detecting and handling a new topic
• Capstone — A Text-Processing System for a Real Decision

Who this course is for

Technology Professional; Data Professional; Engineer / Architect

Prerequisites

NE-AI-201

Course details

• Course code: NE-AI-304
• Level: Advanced
• Estimated duration: 28 h
• Delivery: Instructor-Led / Cohort