Sri Sri University offers a PG Diploma in AI Application for Disaster Risk Reduction program, a strong base in the AI ML, IT, and Government sector to foster academic excellence through industry connections and collaborations. The program is well designed with the objective of imparting comprehensive knowledge along with real-time skill training for students. To make students succeed in the global competitive environment, the program provides an industry-focused curriculum, supported by a well-maintained infrastructure and a mix of Master’s and industry-experienced faculties. This course focuses on specialized training in the field of basic to advanced AI and its applications exclusively for Disaster Risk Management.

The PG Diploma is a full-time Regular Program. The duration of the program is One Academic Year consisting of Two Semesters. Eligibility to enroll in the program is any bachelor’s degree from a UGC-approved recognized University. This Program is a combination of core courses, specialized courses, projects, and skills-based lab work and internship.

During the course, all students have to undergo a compulsory 4 – 6 weeks Internship with Industry suitable for the program. The performance of the internship will be evaluated out of 150 marks (100 external + 50 internal)

Program Benefits:

• Flexible program design
• Mentorship
• Career oriented electives
• Career advancement opportunities
• Opens the door to leadership roles
• Increased earning potential
• Experiential and future-focused learning
• Analytical and Critical thinking abilities for large data-based decision-making
• Skill Enhancement

Roles One can Explore:

• Research Analyst
• Expert in Disaster Risk Management Domain Expert
• Disaster Management Business Analyst Program manager
• AI / ML Engineer Data Scientist

MODULE 1

Course Modules – Disaster management and resilience Building

The syllabus will include the below topics, subject to approval. This is required to provide the perspective and understanding of the domain

• Introduction to Disasters
• Risk Assessment
• Disaster Preparedness
• Early Warning Systems
• Search and Rescue Operations
• Community Engagement
• Humanitarian Aid and Relief
• Climate Change and Disasters
• Technology in Disaster Management
• Legislation and Policy
• Crisis Communication

MODULE 2

Course Modules – AI basic and advanced

The syllabus will include the below modules and a few edits based on the final approval

• Systems setup
• Data Types and Data Structure
• Python Statements
• Functions
• Object Oriented Programming (OOP)
• Data analysis Numpy, Pandas
• Data Visualisation matplotlib
• Data Science Fundamentals
• Basic Statistics
• Probability
• Machine Learning
• Data Preprocessing
• Supervised Learning – Regression
• Supervised Learning – Classification
• Supervised Learning – Decision Tree
• Un Supervised Learning – Clustering
• Un Supervised Learning – Association Rule
• Deploy ML Model
• Deep Learning
• Neural Network
• Advance ML topics
• Natural Language
• Processing NLP
  
  

Module 3
Course Modules – Application of AI in DR

The syllabus will include the below Projects where students will apply AI on real-time problems to build a solution for decision making, subject to approval. Data identification, Data indexing, data analysis, Data Analytics, Algorithm, Machine learning models and Visualization for below major areas:

• Early Warning Systems
• Disaster Response Planning
• Search and Rescue Operations
• Damage Assessment and Recovery
• Social Media Analysis
• Logistical Optimization
• Resilience Building
• GIS and Other application