Programme information
Understand the patterns behind speech recognition technologies
Develop your knowledge of modern natural language processing (NLP) and its approach to handling variations in speech recognition and other patterns. You will explore statistical methods and deep learning techniques to grasp the syntactic and semantic analysis of text, sentiment analysis, question answering, and translation. This course’s objective is to help you understand how NLP utilises available information to deliver accurate results in a business context. Additionally, you will examine NLP’s role in machine learning, covering topics such as classification, neural networks, model training, and transfer learning.
Develop your skills, knowledge
and abilities in:
- Describing key concepts and techniques of natural language processing and its usage.
- Designing a speech application that uses technologies such as speech recognition, semantics, and translations.
- Creating a program with Python using natural learning algorithms and libraries based on project examples to solve a business problem.
- Creating an AI system used for conversational agents to answer questions such as for a support call centre.
- Creating a benefit analysis report on the performance of different NLP tools and systems.
And cultivate the professional competencies to work in a high-demand field
- Applications Developer
- Computational Linguist
- Machine Learning Engineer: Natural Language Processing
- Natural Language Generation Developer
- Natural Language Processing Engineer
- Natural Language Processing Scientist
- Natural Language Processing Specialist
- Senior Natural Language Processing Researcher
