Add-On Programs
B.Tech – CSE (Artificial Intelligence and Data Science)
Where Artificial Intelligence Meets Data at Scale
The CSE (AI & Data Science) programme at BRIL is a hybrid discipline combining intelligent systems with large-scale data engineering. Add-on courses focus on interdisciplinary skills that span the full spectrum from raw data pipelines to deployed AI solutions.
Add-On Programmes
Advanced Machine Learning & Data Modelling
Builds depth in ML techniques applied to complex, high-dimensional datasets.
- Ensemble & Boosting Methods
- Dimensionality Reduction (PCA/t-SNE)
- Anomaly Detection
- AutoML Frameworks
AI-driven Data Analytics
Applying AI techniques to accelerate and automate the analytics process.
- Predictive Analytics with ML
- Automated EDA Tools
- AI-powered BI Dashboards
- Real-Time Analytics Pipelines
Deep Learning for Big Data
Scaling deep learning models to work with large, distributed datasets.
- Distributed Training with Horovod
- Spark MLlib Integration
- GPU Cluster Computing Basics
- Large-Scale Model Optimisation
Data Engineering & Pipeline Design
Building the infrastructure that makes AI and analytics possible at scale.
- Apache Airflow Workflow Orchestration
- Data Lake Architecture
- Batch & Streaming Pipelines
- dbt for Data Transformation
Intelligent Automation & RPA
Combining AI with process automation to eliminate repetitive tasks in enterprise environments.
- UiPath & Automation Anywhere Basics
- AI-powered Workflow Automation
- Cognitive Automation Concepts
- Bot Development & Deployment
AI Ethics & Responsible AI
Understanding the societal, legal, and technical dimensions of deploying AI responsibly.
- Bias Detection & Fairness in ML
- Explainable AI (XAI) Techniques
- GDPR & Data Privacy Compliance
- AI Governance Frameworks
Placement Impact
Outcome
Graduates are equipped to handle complex data ecosystems and build intelligent, automated solutions that drive measurable business outcomes.