AI with NLP Specialization Program

AI with NLP Specialization

Learn how to make computers understand and work with human language. This hands-on program takes you from beginner to advanced level, covering everything from basic text processing to modern deep learning models like BERT and GPT.

15K+ Students

4 Months

Certificate

NLP & AI

BERT + GPT + Transformers

AI with NLP Specialization Program

Whether you're a student, developer, or data enthusiast, this course gives you the skills needed to build real NLP applications used in today's industries. This course mixes theory and practice - you'll not only learn the concepts but also write code and build projects step by step.

Who Can Join?

This course is perfect for:

Beginners who know a little Python and want to learn NLP

Software developers who want to add NLP to their applications

Data scientists and ML enthusiasts looking to upgrade their skills

Students and professionals preparing for NLP jobs or research work

What You'll Learn

You'll explore both traditional and modern NLP methods:

Text Processing Basics

Tokenization, stemming, lemmatization, and cleaning

Statistical Methods

N-grams, TF-IDF, Naive Bayes classification

Word Embeddings

Word2Vec, GloVe for semantic understanding

Deep Learning for NLP

RNNs, LSTMs, Attention, Transformers

Modern Language Models

BERT, GPT for summarization, Q&A, generation

Real-world Applications

Build and deploy NLP tools in production systems

Skills You'll Gain

By completing this program, you will be able to:

Collect, clean, and analyze text data

Build NLP models using traditional and deep learning approaches

Create NLP solutions like chatbots and sentiment analysis

Measure and improve model performance using standard metrics

Step into NLP-focused jobs with confidence

Projects You'll Work On

This course is project-based, so you'll apply what you learn right away:

Text Processing Pipeline

Build your own text processing pipeline with Python

Document Classifier

Create a document classifier using TF-IDF and SVM

Word2Vec Implementation

Implement Word2Vec from scratch to understand word meanings

Sequence-to-Sequence Model

Build a seq2seq model for text translation

NLP System Capstone

Complete NLP system for a real-world use case

Sample Project Ideas

A rule-based chatbot

A sentiment analysis tool

A text summarizer

A machine translation prototype

COURSE BENEFITS

PLACEMENT ASSISTANCE

*MIN 5 COMPANY WALK-INS

GitHub portfolio and Job-ready resume to enhance career prospects.

Course Features

Resume & LinkedIn Building

1:1 Mock Interviews

100% Hands-on

Certification

1000+ students enrolled