Add-On Programs
B.Tech – CSE (Artificial Intelligence & Machine Learning)
Intelligent Systems — From Theory to Deployment
The CSE (AI & ML) programme at BRIL is enhanced with specialised add-on modules that go beyond classroom instruction. The focus is on intelligent systems, predictive modelling, and real-time data-driven decision-making — skills that are directly applicable in research, product development, and enterprise AI roles.
Add-On Programmes
Machine Learning Algorithms & Model Optimisation
Rigorous training in supervised, unsupervised, and ensemble methods with a focus on model performance tuning.
- Regression, Classification & Clustering
- Ensemble Methods (Random Forest, XGBoost)
- Hyperparameter Tuning & Cross-Validation
- Feature Engineering & Selection
Deep Learning using TensorFlow & PyTorch
Hands-on training in neural network architectures used in production AI systems worldwide.
- Artificial Neural Networks & CNNs
- Recurrent Networks & LSTMs
- Transfer Learning & Fine-Tuning
- Model Training on GPU Environments
Natural Language Processing (NLP)
Practical exposure to text analytics and language model applications that power modern AI products.
- Text Preprocessing & Tokenisation
- Sentiment Analysis & Text Classification
- Transformer Models & BERT Basics
- Chatbot Development
Computer Vision & Image Processing
Training in visual intelligence techniques used in healthcare, automotive, surveillance, and retail sectors.
- Image Classification & Object Detection
- OpenCV & Image Segmentation
- Face Recognition Systems
- YOLO & Real-Time Detection
Reinforcement Learning Fundamentals
Introduction to agent-based learning — the technology behind game-playing AI, robotics, and autonomous systems.
- Markov Decision Processes
- Q-Learning & Policy Gradient Methods
- OpenAI Gym Environments
AI Model Deployment & MLOps
Bridges the gap between model building and production — a skill set that significantly improves placement prospects.
- Flask / FastAPI Model Serving
- Docker for ML Applications
- MLflow & Model Versioning
- Cloud Deployment (AWS SageMaker / Azure ML)
Placement Impact
Outcome
Graduates gain proficiency in building, training, and deploying AI models for real-world applications across industries — from healthcare diagnostics to intelligent automation.