Natural Language Processing (NLP) Course in Hyderabad
Teach machines to understand text, from classic NLP to transformers and LLMs
The Natural Language Processing course teaches you to build systems that work with human language. You start with Python, regular expressions and text preprocessing, then study classical NLP: tokenisation, stemming and lemmatisation, bag-of-words and TF-IDF, part-of-speech tagging, named entity recognition, topic modelling and text classification with scikit-learn. You move on to word embeddings, recurrent networks, attention and the transformer architecture, and use Hugging Face Transformers to fine-tune models for classification, named entity recognition, question answering and summarisation. The course covers multilingual and Indian-language NLP concepts, evaluation metrics such as F1, BLEU and ROUGE, building semantic search with embeddings, an introduction to large language models, prompting and retrieval-augmented generation, and deployment with FastAPI. Responsible use, bias and privacy are discussed. The course suits graduates and professionals with basic Python; machine learning basics are revised. Classes run in Ameerpet, Hyderabad, and in live online batches, with a capstone project.
Syllabus
Text Basics & Python for NLP
- •Python for text processing; Unicode and encodings
- •Regular expressions and text cleaning
- •Collecting text from files, APIs and web pages responsibly
- •Lab: Build a text-cleaning pipeline
- •Outcome: Prepare raw text for analysis
Classical NLP Pipeline
- •Tokenisation, stemming and lemmatisation
- •Part-of-speech tagging and dependency parsing with spaCy
- •Text normalisation and language detection
- •Lab: Process a corpus with NLTK and spaCy
- •Outcome: Apply standard NLP preprocessing
Text Representation
- •Bag-of-words, n-grams and TF-IDF
- •Cosine similarity and document retrieval
- •Limits of sparse representations
- •Lab: Build a TF-IDF document search
- •Outcome: Turn text into numbers meaningfully
Text Classification
- •Sentiment analysis and spam detection
- •Classical classifiers on TF-IDF features
- •Evaluation: precision, recall, F1 and error analysis
- •Lab: Build a sentiment classifier and analyse its errors
- •Outcome: Build solid baselines before using large models
Information Extraction & Topic Modelling
- •Named entity recognition and relation extraction basics
- •Rule-based and statistical extraction
- •Topic modelling with LDA and BERTopic overview
- •Lab: Extract entities from news or resumes
- •Outcome: Structure information from unstructured text
Word Embeddings & Neural NLP
- •Word2Vec, GloVe and fastText embeddings
- •Recurrent networks and LSTMs for text
- •Sequence labelling and sequence-to-sequence ideas
- •Lab: Train embeddings and use them in a classifier
- •Outcome: Understand how meaning is represented in vectors
Attention & Transformers
- •Attention and the transformer architecture
- •Encoder models such as BERT and decoder models such as GPT; subword tokenisation
- •Hugging Face Transformers, datasets and the model hub
- •Lab: Run pre-trained models for several NLP tasks
- •Outcome: Use state-of-the-art pre-trained models
Fine-Tuning Transformers
- •Preparing datasets and the Trainer API
- •Fine-tuning for classification, NER and question answering
- •Parameter-efficient fine-tuning with LoRA overview
- •Lab: Fine-tune a model on a custom dataset
- •Outcome: Adapt models to a specific domain
Generation Tasks: Summarisation, Translation & Chat
- •Summarisation and machine translation with transformer models
- •Evaluation with ROUGE, BLEU and human review
- •Dialogue systems and chatbots overview
- •Lab: Build a summariser and compare automatic metrics with human judgement
- •Outcome: Build and evaluate text generation systems
Semantic Search, LLMs & RAG
- •Sentence embeddings and semantic search
- •Large language models, prompting and structured output
- •Retrieval-augmented generation basics
- •Lab: Build a question-answering assistant over documents
- •Outcome: Combine classic and modern NLP in applications
Multilingual & Indian-Language NLP
- •Challenges of Indian languages: scripts, code-mixing and transliteration
- •Multilingual models and evaluation datasets
- •Practical approaches for Telugu, Hindi and English text
- •Lab: Classify multilingual text with a multilingual model
- •Outcome: Handle text beyond English
Deployment, Ethics & Capstone
- •Serving NLP models with FastAPI and Docker; latency and cost
- •Bias, toxicity, privacy and responsible use
- •Capstone: end-to-end NLP application with evaluation and deployment
- •Portfolio write-up and interview practice
- •Outcome: A deployed NLP project and responsible-use checklist
Tools Covered
Projects Included
- Sentiment Analysis Pipeline: Build a classical and a transformer-based classifier and compare them; deliverable is a notebook and error analysis.
- Resume or News Entity Extractor: Extract entities with spaCy and a fine-tuned model; deliverable is an extraction API and evaluation results.
- Topic Explorer: Discover topics in a large corpus and present them; deliverable is a notebook and a topic summary.
- Document Q&A Assistant: Build semantic search and an LLM-based answer generator with citations; deliverable is a demo and test questions.
- Capstone NLP Application: Build and deploy a domain-specific NLP service such as ticket routing or multilingual classification; deliverable is a GitHub repository and demo.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Natural Language Processing (NLP) course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Natural Language Processing (NLP).
Certificate of Completion
Natural Language Processing (NLP)
This certifies that
[Your Name]
has successfully completed the
Natural Language Processing (NLP)
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Natural Language Processing (NLP) course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Natural Language Processing (NLP) Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include NLP Engineer (entry level), Machine Learning Engineer, AI Engineer, Conversational AI Developer; support is guidance with the job search, not a guarantee of a job.