Industrial Training for M.Tech Students
Focus Areas:
- Advanced Python AI Models
- LLM Integration and Python-Based AI Systems
Modules
Module 1: Advanced AI with Python
- Deep Learning using TensorFlow/Keras
- NLP Basics with HuggingFace Transformers
- Data Preprocessing & Model Evaluation
- Project: Resume Classifier with BERT
Module 2: Python-Based LLM-Powered Apps
- LangChain / LlamaIndex
- Document Parsing (PDF, DOCX)
- RAG Architecture with FAISS
- Project: AI Q&A Bot for Legal Documents
Module 3: Model Deployment & Optimization
- Gradio for front-end
- Docker for deployment
- Quantization and model export
- Capstone: Deploy AI Bot Locally as Flask+Gradio app
Duration
- 12 Weeks
- 4 weeks AI core
- 4 weeks app integration
- 4 weeks capstone + paper/presentation
Eligibility
- M.Tech
- Must have basic ML background and Python fluency
Certification
- Industry-Recognized Certificate
- Capstone Evaluation Report
- Research Letter (for top 10% performers)