Natural Language Processing

No prerequisites

1. Learn how to perform text processing and find a pattern

2. Find the most relevant document by applying TF-IDF

3. Write a script for applying parts-of-speech and extraction on focus words

4. Create your own NLP module

5. Classify the cluster for articles

6. Create a basic speech model

7. Convert speech to text

1. Lesson: Introduction to Natural Language Processing

2. Lesson: Feature Engineering on Text Data

3. Lesson: Natural Language Understanding Techniques

4. Lesson: Natural Language Generation

5. Lesson: Natural Language Processing Libraries

6. Lesson: Natural Language Processing with Machine Learning and Deep Learning

7. Lesson: Speech Recognition Technique

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration.

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Certificate

Please note that there are three semesters as intake periods as noted on the academic calendar.
Scholarship Awarded (Total Fee: €100)

Registration is done online.