Certificate in NLP With Python
The Certificate in NLP (Natural Language Processing) with Python exam evaluates a candidate's proficiency in using Python to implement NLP techniques. This certification covers fundamental NLP concepts, practical implementation of NLP algorithms, and the use of Python libraries such as NLTK, spaCy, and Transformers for processing and analyzing text data.
Who should take the exam?
- Data Scientists: Individuals working with text data and looking to enhance their NLP skills.
- Machine Learning Engineers: Professionals implementing NLP algorithms in projects.
- Software Developers: Developers interested in incorporating NLP into applications.
- Linguists: Linguists looking to apply computational techniques to language data.
- Students and Academics: Individuals studying NLP or related fields.
- Researchers: Researchers focusing on text analysis and NLP applications.
Course Outline
The NLP With Python exam covers the following topics :-
- Module 1: Introduction to Natural Language Processing
- Module 2: Understanding Python for NLP
- Module 3: Understanding Text Preprocessing
- Module 4: Understanding NLP Algorithms and Techniques
- Module 5: Understanding Advanced NLP Techniques
- Module 6: Understanding Implementing NLP with Python
- Module 7: Understanding NLP in Practice
- Module 8: Understanding Evaluation and Optimization
- Module 9: Understanding Real-World NLP Applications
- Module 10: Understanding Capstone Project