Course / Short Interactive
Natural Language Processing
(NLP)
This course provides comprehensive training in Natural Language Processing, equipping learners with the foundational principles and advanced techniques needed for mastery in the field of language processing and understanding.
Course Name
Natural Language Processing Short Interactive Program
Course Duration
6 Hours
Course Engagement
Live Classes
Rewards
Certification
When do you want to start?
Days left to apply
No. of seats left
25
Started in IT thanks to Blockverse
NLP training from BlockVerse Academy
Are you fascinated by the intricacies of language processing and would like to delve deeper into the world of Natural Language Processing (NLP)? The NLP course from BlockVerse Academy is tailored for you. In this training, you’ll immerse yourself in the art and science of understanding, interpreting, and generating human language.
Eager to embark on this linguistic journey? Enroll with us today. If you’re keen on learning more about our NLP training, who we are, and the myriad possibilities that await, keep reading; we’ve compiled all the essential details below.
You will learn this
Our NLP course is designed for individuals passionate about language processing and understanding. To enhance your skills in this field, we’ve structured the training into different modules. Here’s a breakdown of what our NLP Specialist training entails:
Module 1 : Introduction to Transformers and Transformer Architecture
An overview of transformers, Understanding the transformer architecture, The role of self-attention mechanisms
Module 2 : Challenges in Training Large Language Models (LLMs) and Pre-training
Exploring the challenges of training LLMs, Pre-training strategies and techniques, The evolution of LLMs
Module 3 : NLP Basics
Featurization vectors in NLP, Word2Vec and BERT embeddings, Exploring fundamental NLP operations
Module 4 : Introduction to Hugging Face and Using LLMs
Getting started with the Hugging Face library, Leveraging pre-trained LLMs for NLP tasks, Hands-on practice with LLMs
Module 5 : Fine-Tuning Tasks
Instruction for fine-tuning LLMs, Multi-task learning with LLMs, Parameter Efficient Fine-Tuning (PEFT)
Module 6 : Practical Usecase Using LLMs
Real-world applications of LLMs, Building an NLP solution
Key techniques for a NLP Specialist.
Fundamentals of Linguistics
Develop a strong foundation in linguistics, understanding the core principles that govern language structure, semantics, and syntax.
Text Mining and Information Retrieval
Explore techniques for extracting valuable information from large volumes of text data. Learn effective methods for searching, retrieving, and analyzing textual information.
Machine Learning for NLP
Dive into the intersection of machine learning and NLP. Understand how machine learning algorithms can be applied to natural language understanding, sentiment analysis, and language generation.
Speech Recognition
Gain expertise in converting spoken language into written text. Explore speech recognition technologies and their applications in real-world scenarios.
Named Entity Recognition (NER)
Master the skill of identifying and classifying entities, such as names of people, organizations, and locations, within a body of text.
Sentiment Analysis
Learn to analyze and interpret sentiments expressed in textual content, a crucial skill for understanding user opinions and feedback.
NLP Frameworks and Tools
Explore popular NLP frameworks and tools, understanding how to leverage them for building efficient and scalable NLP applications.
Why we should go with this
Started in IT thanks to Blockverse
Considering an NLP Specialist career with the aim of working on cutting-edge language technologies?
Understanding the advantages of this role is pivotal. Here’s a glimpse:
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Growing demand in industries like healthcare, finance, and technology
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Opportunity to work on diverse projects and contribute to advancements in language technology
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Continuous learning and innovation in a dynamic and evolving field.
