Natural Language Processing
₹120,000
Total Fee₹10,000/month
EMI Starting
Why Choose This Program?
Transform how technology understands and communicates:
Language-Centric AI Skills: Learn tokenisation, text classification, sentiment analysis, and language modeling.
Transformer Era Readiness: Train models using BERT, GPT, and other state-of-the-art architectures.
Live Industry Projects: Work on chatbots, recommendation engines, and sentiment-driven platforms.
Career Growth Support: Get help with resumes, mock interviews, and access to NLP hiring partners.
💰 Program Fee: ₹1,20,000 | EMI starts at ₹10,000/month
What Makes Us Unique?
| Features | Our Program | Traditional Courses | Free Tutorials |
| Real-world NLP Projects | ✅ Yes | ❌ Rare | ❌ No |
| Focus on Transformers & BERT | ✅ Yes | ❌ Minimal | ❌ No |
| Placement Support | ✅ Yes | ✅ Yes | ❌ No |
| Payment Flexibility | ✅ Yes | ❌ Rare | ✅ Yes (Limited) |
How This Program Works
1. Real-World Module Development
Clean, process, and vectorise textual data
Implement NLP pipelines and embeddings
Fine-tune transformer models for custom tasks
Use NLP tools like spaCy, Hugging Face, NLTK
2. Projects to Build Your Portfolio
Sentiment analysis engine for product reviews
Resume ranking system using text similarity
WhatsApp-style chatbot with custom responses
News summarisation using transformer models
3. Continuous Feedback & Improvement
Mentor reviews for preprocessing pipelines
Debugging and tuning support for NLP models
Architecture feedback for transformers
Weekly check-ins and learning checkpoints
4. Placement Preparation
Resume building with NLP project highlights
Mock interviews for ML and NLP roles
GitHub and portfolio review sessions
Career planning and job opportunity sharing
Who Is This Program For?
✅ AI & Data Enthusiasts – Dive deeper into the fastest-growing field in AI.
✅ ML Engineers & Developers – Add natural language capabilities to your skillset.
✅ Career Switchers – Enter AI through the booming NLP domain.
Tools & Technologies You’ll Master
Libraries
- spaCy
- NLTK
- Transformers (Hugging Face)
- Gensim
Modeling & Frameworks
- BERT
- GPT
- RNNs / LSTMs
- Word2Vec / FastText
Supporting Tools
- Python
- Scikit-learn
- Jupyter Notebook
- Google Colab
Deployment & Integration
- Flask
- Streamlit
- FastAPI
- Heroku / AWS
Program Timeline
Months 1–2: NLP Foundations
Clean, tokenise, and vectorise text. Learn regex, TF-IDF, POS tagging, and named entity recognition.
Months 3–5: Traditional & Deep NLP
Work with Word2Vec, FastText, RNNs, and LSTMs for classification, generation, and sequence labeling.
Months 6–7: Transformers & BERT
Fine-tune models like BERT and GPT for tasks like Q&A, summarisation, and chatbot development.
Months 8–9: Projects & Placement Prep
Build end-to-end projects, improve deployment, and prepare for NLP roles with mock interviews.
Career Outcomes
Get ready for in-demand roles like:
NLP Engineer
AI Language Specialist
Chatbot Developer
Data Scientist (NLP)
Why NLP?
💡 NLP is transforming communication between humans and machines:
Explosive Demand: Chatbots, recommendation systems, and voice assistants rely on NLP.
Human-Centric AI: NLP makes AI relatable, conversational, and usable.
Career Versatility: Applicable across healthcare, finance, education, and retail.