Natural Language Processing
Master the art of teaching machines to understand human language. This 9-month NLP Specialisation teaches practical skills in text processing, embeddings, transformers, and model deployment to launch your career in AI-powered language technology.
₹1,20,000
Program fee
₹1,20,000
Per month, EMI option
- Real Projects
- Placement Assistance
- Flexible Payment Options
About this program
Program timeline
- 01
Months 1–2: NLP Foundations
Clean, tokenise, and vectorise text. Learn regex, TF-IDF, POS tagging, and named entity recognition.
- 02
Months 3–5: Traditional & Deep NLP
Work with Word2Vec, FastText, RNNs, and LSTMs for classification, generation, and sequence labeling.
- 03
Months 6–7: Transformers & BERT
Fine-tune models like BERT and GPT for tasks like Q&A, summarisation, and chatbot development.
- 04
Months 8–9: Projects & Placement Prep
Build end-to-end projects, improve deployment, and prepare for NLP roles with mock interviews.
What you'll build
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
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
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
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
Tools & technologies
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
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
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
Program Timeline
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.
Frequently asked questions
- Do I need deep ML knowledge?
- Basic ML helps, but we offer an NLP-specific learning path that covers everything from scratch.
- Will I build a chatbot?
- Yes! You'll create conversational bots and text-processing pipelines in multiple projects.
- Is it a live program or self-paced?
- Live mentor sessions with structured self-paced content and weekly doubt clearing.
- Can I switch to Deep Learning later?
- Yes, NLP lays a strong foundation for deep learning. You can move into our DL or AI programs.
Questions about Natural Language Processing?
Leave your details and an advisor will call you back about this program.