Natural Language Processing Certification
Program fee
₹64,999
One-time payment
NLP course one-time fee with refund assurance if placement not achieved.
Payment options
- One-time payment with placement assurance.
Text Cleaning & Preprocessing
Learn tokenization, stemming, lemmatization, stopword removal, and vectorization techniques.
Text Classification & Sentiment Analysis
Build NLP models for binary/multi-class classification, spam detection, and emotion analysis.
Embeddings & Transformers
Understand word2vec, GloVe, BERT, and how to fine-tune transformer models for NLP tasks.
Sequence Models
Build RNN, LSTM, GRU architectures for sequence labeling, translation, and text generation.
Named Entity Recognition & QA
Implement NER pipelines, extract answers from documents, and build QA bots.
Real NLP Projects
Build resume parser, topic modeler, chatbot, and document summarizer with Hugging Face.
Hands-On with Hugging Face
Use pre-trained transformers from Hugging Face with PyTorch and TensorFlow.
Interview-Focused Curriculum
Includes case studies, dataset handling, and typical NLP interview questions.
Aspiring Data Scientists
Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.
Recent Graduates
Anyone who wants to get acquainted with machine learning and data science as a software developer.
Career Changers
People who are looking to switch career paths for an AI and machine learning career.
Tech Professionals
Data analysts who wish to superimpose data science with machine learning into their career.
Additional Benefits:
Job Assistance: Full support until you secure a role. Real-World Projects: Work on industry-grade use cases. Comprehensive Curriculum: Includes spaCy, NLTK, Hugging Face Transformers, BERT, GPT, and deployment of NLP models using FastAPI and cloud services.
Talk to Our Team Directly
Contact us and our academic counsellor will get in touch with you shortly.
Enquire Now +91 87087 52385 hello@aicareer.academy
Course Curriculum
Text foundations
Module 1: Preprocessing
- Text Preprocessing and Tokenization
- spaCy and NLTK
- Cleaning pipelines
Module 2: Representations
- Word Embeddings and Transformers
- BERT and GPT families
Language applications
Module 3: Extraction and sentiment
- Named Entity Recognition
- Sentiment Analysis
- Information Extraction
Module 4: Conversational systems
- Conversational AI
- Hugging Face workflows
- FastAPI deployment
Ready to start?
Talk to an advisor about this program — 15 minutes, no sales pitch.