Who can join courses on Skills Boost?

Anyone can join Skills Boost courses, including students, freshers, working professionals, and individuals looking to upgrade or change their career skills.

Are Skills Boost courses beginner friendly?

Yes, Skills Boost offers beginner-friendly courses along with advanced training. The learning process is designed step by step to make it easy to understand.

Does Skills Boost provide certification?

Yes, Skills Boost provides certification after successful completion of the course, which can be used to enhance your resume and career profile.

How can I enroll in a course on Skills Boost?

You can enroll in any course by visiting the official website https://www.skillsboost.in and selecting the course that suits your learning goals.

Is Skills Boost suitable for working professionals?

Yes, Skills Boost courses are designed keeping working professionals in mind, offering flexible learning options and practical knowledge applicable to real-world scenarios.

What is SkillsBoost and how does it help students improve their skills?

SkillsBoost is an learning Platform for Digital markeing and Data Science in Gurgaon Placed sector 14 Gurgaon.

NLP Course In Gurgaon Sector 14

Q: What is Skills Boost?

Skills Boost is a professional skill development platform that helps students and working professionals improve their skills through practical and career-focused training programs.

Course Description

Ready to step into the world of Natural Language Processing (NLP) and build AI that understands human language?

This NLP (Natural Language Processing) course is designed for students, freshers and working professionals who want to work on text, chat, reviews, documents and language-based AI solutions. You’ll start with Python for text, then move into text preprocessing, feature engineering, classical ML models for NLP, and an introduction to modern deep-learning and transformer-based NLP (concept + demos).

The program is highly practical and project-oriented. You will work with real datasets – reviews, social media comments, support tickets, resumes, FAQs and more, to build models for sentiment analysis, text classification, keyword extraction, summarization (conceptual) and basic chatbots.

By the end, you’ll be ready for roles like Junior NLP Engineer, Data Analyst (NLP), Text Analytics Executive, AI / ML Intern and prepared to step into more advanced AI / LLM / Deep Learning tracks.

Comprehensive Curriculum

Python & Text Handling Basics

Text Preprocessing, Tokenization & Feature Engineering

Classical ML Models for NLP (Practical)

Intro to Deep Learning & Transformers (Concept + Demo)

Real NLP Projects & Capstone Implementation

What You’ll Learn from this NLP Course?

Fundamentals of NLP – what it is, where it is used (chatbots, search, translation, analytics etc.)

Working with text data – reading files, cleaning, lowercasing, removing noise, tokenization & stopwords

Text representation – Bag of Words, TF-IDF, n-grams & introduction to word embeddings (conceptual)

Building text classification models – sentiment analysis, spam detection, topic tagging (using ML models)

Intro to advanced topics – Named Entity Recognition (NER), topic modelling & transformer models (concept + demo)

Building end-to-end NLP projects – from raw text to model, evaluation and presenting business insights

Why You Should Learn This?

Every day, companies generate huge amounts of unstructured text data – emails, chats, support tickets, reviews, social media comments, documents and more. Professionals who can turn this text into insights and intelligent automation using NLP are in high demand.

NLP skills help you grow in Data Science, AI, Analytics, Product, Marketing, Customer Experience, HR and Research roles. You can work on chatbots, recommendation systems, feedback analysis, search systems, and content understanding tools.

At Skills Boost, this NLP course is taught with a hands-on, business-focused approach. You’ll work on practical datasets and see how NLP is applied in e-commerce, banking, telecom, service, SaaS and digital platforms.

Through live classes, practical notebooks, mini-projects and a final NLP capstone, you’ll build the confidence to talk about and apply NLP in real projects and interviews.