Course Details

Natural Language Processing (NLP) for Professionals Training Course

INTRODUCTION

Natural Language Processing (NLP) is revolutionizing how we interact with and understand textual data. This Natural Language Processing (NLP) for Professionals Training Course provides a comprehensive, practical introduction to NLP, empowering professionals to leverage its capabilities for diverse applications. Participants will learn to extract insights, automate tasks, and build intelligent systems that understand and process human language. This program is designed to equip you with the skills to transform unstructured text data into valuable business intelligence.

DURATION

5 days

TARGET AUDIENCE

This course is designed for:

• Data analysts and scientists.
• Marketing and content professionals.
• Product managers and business analysts.
• Software developers and engineers.
• Researchers and academics.
• Anyone looking to apply NLP techniques to their work.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the fundamental concepts and techniques of NLP.
• Preprocess and prepare text data for NLP tasks.
• Implement common NLP tasks using Python and relevant libraries (NLTK, spaCy, Transformers).
• Extract meaningful insights from text data using techniques like sentiment analysis and topic modeling.
• Build NLP applications for tasks such as text classification, information extraction, and question answering.
• Understand the ethical considerations in NLP.
• Apply NLP techniques to solve real-world problems in their respective fields.
• Understand the use of large language models.

COURSE MODULES

• Introduction to Natural Language Processing (NLP):

• Defining NLP and its applications.
• Understanding the history and evolution of NLP.
• Exploring the challenges and complexities of human language.
• Understanding the NLP pipeline.

• Text Preprocessing and Cleaning:

• Tokenization and stemming/lemmatization.
• Stop word removal and punctuation handling.
• Regular expressions and text normalization.
• Understanding how to handle different character encodings.

• Text Representation and Feature Engineering:

• Bag-of-words and TF-IDF.
• Word embeddings (Word2Vec, GloVe, FastText).
• Understanding vector space models.
• Understanding how to implement feature engineering for text.

• Sentiment Analysis and Opinion Mining:

• Understanding sentiment analysis techniques.
• Implementing sentiment analysis using Python libraries.
• Analyzing customer reviews and social media data.
• Understanding how to handle nuanced sentiment.

• Topic Modeling and Text Classification:

• Understanding topic modeling algorithms (LDA, NMF).
• Implementing topic modeling using Python libraries.
• Building text classification models for various applications.
• Understanding how to handle multi-class classification.

• Information Extraction and Named Entity Recognition (NER):

• Understanding information extraction techniques.
• Implementing NER using Python libraries (spaCy, Transformers).
• Extracting entities and relationships from text.
• Understanding how to build custom NER models.

• Question Answering and Chatbots:

• Understanding question answering systems.
• Building simple chatbots using NLP techniques.
• Exploring conversational AI and dialogue systems.
• Understanding how to use retrieval based chatbots.

• Ethical Considerations and Advanced NLP Topics:

• Understanding the ethical implications of NLP.
• Addressing bias and fairness in NLP models.
• Exploring advanced NLP topics (Transformers, Large Language Models).
• Understanding the future of NLP.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com