Master NLP With Industry Experts
Advanced Natural Language Processing specialization covering state-of-the-art NLP techniques with practical use-case applications and real-world implementations, leading to Global Certification by IABAC® (International Association of Business Analytics Certification) along with complete placement assistance for a smooth transition into AI-NLP roles.
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Flexible Plans Designed to Fit Your Schedule & Learning Style
Select the learning mode that works best for you — self-paced, live online, or in-person classroom training
Blended Learning
Self Learning + Live Mentoring
- Self Learning + Live Mentoring
- NASSCOM & IBM & AAAI Certification
- 1 Year Access to E-learning
- 25 Capstone & 1 Client Project
- Job Assistance
- 24x7 Learner Assistance
Live Virtual
Instructor Led Live Online
- NASSCOM & IBM & AAAI Certification
- 7-Month | 700 Learning Hours
- 120-Hour Live Online Training
- 25 Capstone & 1 Client Project
- 365 Days Flexi Pass + Cloud Lab
- Placement Assurance
Classroom
In-Person Classroom Training
- NASSCOM & IBM & AAAI Certification
- 7-Month | 700 Learning Hours
- 120-Hour Live Online Training
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Placement Assurance
Tools & Technologies
Master Industry Tools
Hands-on training on the tools and technologies used by top data teams
worldwide.
Certification
NASSCOM & IBM & AAAI Certification
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Pay in Easy Installments at 0% Interest
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No Cost EMI & Scholarships Available
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Companies That Hire Our Graduates
200+ leading companies trust Data Sprint graduates to drive their data
initiatives.
Why Data Sprint
Why Thousands Choose Data Sprint
We’re committed to transforming careers with quality education and real-
world experience.
Course Syllabus
Comprehensive Data Science Curriculum
A structured learning path covering foundations to advanced topics across data science, machine learning, and AI.
Module 1: Introduction To Natural Language Processing
• Overview of NLP
• NLP Approaches
• Machine Learning and NLP
• Text Pre-processing
• Feature Extraction – Bag of Words
• Count vectorizer and Tf Idf
• Linear models for Sentiment Analysis
Module 2: Language Modelling
• N-gram language models
• Hidden Markov Models
• Sequential Models for Named Entity Recognition
• Neural Language Models
• LSTM NLP Modelling
• Word2vec and doc2vec
Module 3: Sequence To Sequence Models
• Machine Translations
• Encoder-Decoder Architecture
• Attention Mechanism
• Conversational Chatbot
Module 4: Transformers And Bert
• Transformers Architecture
• BERT – State of the art NLP technique
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