Natural Language Processing – Online Course

Who is the course for?

This course is ideal for anyone who wants to become familiar with this emerging domain of artificial intelligence (AI), including data scientists, analytics managers, data analysts, data engineers, and data architects.

Natural Language Processing plays a critical role in supporting machine-human interactions. It is becoming increasingly integral to most areas of AI and advanced cloud based system development.

What topics will you cover?

Introduction to NLP and Deep Learning provides an overview of Natural Language Processing using classic machine learning methods and cutting-edge deep learning methods.

Neural models for machine translation and conversation gives an introduction to Statistical Machine Translation and neural models for translation and conversation.

Deep Semantic Similarity Models (DSSM) gives an introduction to Deep Semantic Similarity Model (DSSM) and its applications.

Natural Language Understanding gives an introduction to methods applied in Natural Language Understanding, such as continuous word representations and neural knowledge base embedding.

Deep reinforcement learning in NLP gives an introduction to deep reinforcement learning techniques applied in NLP.

Vision-Language Multimodal Intelligence gives an introduction to neural models applied in Image captioning and visual question answering.