Course Details
NLP Engineering Professional
Learn transformers, RAG architecture, and fine-tuning models to build enterprise-grade conversational agents.
Hands-on Highlights
This program is designed around shipping functional, production-ready AI applications from day one. You will move beyond theory and build real products.
- 1Build a multilingual sentiment analysis API
- 2Train custom Word2Vec and transformer embeddings
- 3Develop a semantic search engine using Vector DBs
- 4Deploy a conversational customer support bot
Detailed Syllabus
Classical NLP & Embeddings
- →Text preprocessing and tokenization
- →TF-IDF and Count Vectorizers
- →Word2Vec and GloVe embeddings
- →Building a baseline sentiment classifier
The Transformer Revolution
- →Self-attention mechanism explained
- →Encoder-only (BERT) vs Decoder-only (GPT)
- →Fine-tuning BERT for text classification
- →Named Entity Recognition (NER)
Semantic Search & RAG
- →Sentence transformers and dense embeddings
- →Building a semantic search engine
- →Retrieval-Augmented Generation workflows
- →Evaluating RAG performance (RAGAS)
Conversational AI Systems
- →Dialogue state tracking
- →Integrating LLMs into chatbots
- →Handling safety, bias, and guardrails
- →Deploying scalable NLP APIs
Format & Location
Hybrid Learning
Choose between intensive IRL bootcamps at our physical campuses in Pondicherry, Vellore, or Coimbatore, or join our flexible online programs designed for working professionals.
Prerequisites
Who is this for?
We assume a fundamental understanding of Python and basic programming concepts. This is for developers looking to master deep learning and build real AI products.
Elite Mentorship
Learn from builders
Learn directly from engineers who have built and scaled AI systems. Get code reviews, architecture feedback, and career guidance.
Outcomes
Ship real products
Our primary focus is helping you build a strong portfolio of real, deployed AI products to show employers. All graduates receive a verifiable certificate.
Ready to build?
Join our next cohort to get started.