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Jain University Online

Jain University Online

UGC Approved ✓NAAC A++📍 Bengaluru

NLP & LLM Development

Jain University Online

₹2.4L – ₹2.4L

Total Fees

2 Years

Duration

ONLINE

Mode

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About This Program at Jain University Online

The Online MCA in Natural Language Processing (NLP) & Large Language Model (LLM) Development from Jain University has been thoughtfully designed to provide learners with a strong foundation in computer applications while focusing on the latest advancements in artificial intelligence and natural language technologies.

Course Curriculum

Semester 1Semester 2Semester 3Semester 4Semester 5Semester 6
Foundations of Computer ApplicationsAdvanced Python for AI ApplicationsIntroduction to Artificial IntelligenceAdvanced NLP Techniques (POS tagging, Named Entity Recognition, Sentiment Analysis)Advanced Topics in LLMs (Prompt Engineering, Reinforcement Learning with Human Feedback – RLHF)Capstone Project in NLP/LLM Development
Programming in PythonSoftware Engineering PrinciplesMachine Learning Algorithms and ApplicationsTransformer Architectures (BERT, GPT, and T5 Models)Multimodal AI (Text, Speech, and Vision Integration)Dissertation/Research Work
Data Structures and AlgorithmsObject-Oriented Programming with JavaNatural Language Processing FundamentalsLarge Language Models: Training and Fine-TuningCloud Platforms for NLP and AI DeploymentInternship or Industry Collaboration (AI/NLP-related)
Database Management SystemsMathematical Foundations for Machine LearningText Preprocessing and Linguistic AnalysisGenerative AI and Conversational SystemsScalable AI Systems and Model OptimizationSeminar and Viva Voc
Operating Systems and Computer NetworksProbability, Statistics, and Linear Algebra for AIDeep Learning using TensorFlow and PyTorchEthics in AI and Responsible LLM DevelopmentIndustry Project in NLP/LLM Development
Practical Labs on Programming and DatabasesMini Project on Software/AI ApplicationLab Work: Building Simple NLP ModelsResearch Methodology and Case Studies

Learning Outcomes

What you will achieve after completing this program

1

Strong Foundation in Computer Applications – Students develop a solid grounding in core computer science concepts such as programming, algorithms, databases, and software engineering, enabling them to build efficient and scalable AI-based systems.

2

Expertise in Artificial Intelligence and Machine Learning – Graduates gain the ability to apply AI and ML techniques to real-world problems, with a special focus on text, speech, and human-language data processing.

3

Proficiency in Natural Language Processing (NLP) – Learners acquire in-depth knowledge of NLP techniques including text preprocessing, sentiment analysis, named entity recognition, and advanced methods such as embeddings and transformer-based architectures.

4

Hands-On Experience with Large Language Models (LLMs) – The program ensures that students can train, fine-tune, and optimize large language models such as GPT, BERT, and T5, preparing them to work with cutting-edge AI technologies that power modern chatbots, generative AI systems, and language-based applications.

Eligibility Criteria

Who Can Apply

Candidates must hold a Bachelor’s degree in Computer Applications (BCA), Computer Science, Information Technology, or an equivalent degree in a relevant discipline from a recognized university.

Applicants should have secured at least 50% aggregate marks (45% for reserved category candidates) in their undergraduate program.

Required Documents

10th & 12th Marksheets

Graduation Certificate

Government ID Proof

Passport Size Photo

Finance Your Education

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Total Program Fee

₹2.4L

₹40K per semester

💳

Low Cost EMI

Contact admissions for EMI options

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Scholarship

Ask counselor about scholarship eligibility

Placement & Careers

Career Opportunities

Job Roles

NLP EngineerAI/ML EngineerLLM DeveloperData Scientist (AI/NLP Specialization)Conversational AI DeveloperComputational Linguist

Top Recruiters

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Fee Structure

Total Program Fee₹2.4L – ₹2.4L
Semester Fee₹40K
Duration2 Years
ModeONLINE
Exam FeeIncluded

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