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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?

Course Lauch Date:  

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:

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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.

You will learn about these  
Fundamentals of Linguistics

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

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

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

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)

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

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

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

Why this Course is  

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:

  • Growing demand in industries like healthcare, finance, and technology

  • Opportunity to work on diverse projects and contribute to advancements in language technology

  • Continuous learning and innovation in a dynamic and evolving field.

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