Applied Natural Language Processing

Description

Course Overview
Objective:
This program provides in-depth training in Natural Language Processing (NLP) using both
traditional and deep learning-based techniques. Students will learn how to build intelligent
language applications including chatbots, sentiment analyzers, translators, summarizers, and
voice-based AI agents. The curriculum emphasizes hands-on learning with tools like Hugging
Face Transformers, OpenAI APIs, SpaCy, NLTK, and more.

Preparation for Job Market & Entrepreneurship
Graduates will be well-prepared for careers such as:
• NLP Engineer
• AI Language Model Specialist
• Computational Linguist
• Conversational AI Developer
• Voice & Speech AI Engineer
• AI Researcher

Students will:
1. Build, fine-tune, and deploy transformer-based models (BERT, GPT, T5).
2. Apply real-time speech-to-text and emotion recognition.
3. Implement Retrieval-Augmented Generation (RAG) and multilingual NLP.
4. Explore NLP in IoT, Edge devices, and low-resource languages.
5. Create AI Agents using LangChain, ReAct, and CrewAI.
6. Use Prompt Engineering, Prompt Tuning, and LLMOps workflows.

Learning Modality
• In-person Live Instructor-led: $9,999
• Virtual Live Instructor-led: $8,999
• Exclusive 1-on-1 Virtual Mentorship: $10,499

Admissions Requirements
• High school diploma or GED
• Minimum age: 18 years (or parental consent)
• Strong Python foundations
• Familiarity with ML concepts and basic probability
• Completion of NVIT admissions interview