One-Time Payment for Full Access to Hydroinformatics, Hydrology, Flood Modeling & Water Resources Courses
We are offering all of the courses listed below — plus many more — together as a single bundle for one one-time payment of only Rs. 250. This limited-time offer is valid for one month starting 4 July 2026, so act soon. If you’re interested in Hydroinformatics, click here within the next month to enroll. The countdown begins on 4 July 2026. Click here to buy.
Short Term Course #22(TOP)
Introduction to TOPSIS MCDM
Make smarter, more transparent decisions with our Introduction to TOPSIS MCDM This practical programme takes you from the fundamentals of Multi-Criteria Decision Making to the complete TOPSIS procedure, including decision-matrix development, normalization, criteria weighting, ideal and negative-ideal solutions, separation measures, and final ranking of alternatives.
Each lesson uses real-life case studies to show how TOPSIS can support choices in engineering, water-resource management, environmental planning, business, and research. Whether you are an MTech student, PhD scholar, researcher, or working professional, this course will help you confidently analyse multiple conflicting criteria and justify your final decision with a structured scientific approach.
Ready to turn complex choices into clear rankings? Join the TOPSIS MCDM E-Course today and begin learning through practical, real-world case studies.
Each lesson uses real-life case studies to show how TOPSIS can support choices in engineering, water-resource management, environmental planning, business, and research. Whether you are an MTech student, PhD scholar, researcher, or working professional, this course will help you confidently analyse multiple conflicting criteria and justify your final decision with a structured scientific approach.
Ready to turn complex choices into clear rankings? Join the TOPSIS MCDM E-Course today and begin learning through practical, real-world case studies.
Short Term Course and Internship #11(UWIP)
Underwater Image Processing
The Underwater Image Processing short course and internship is a focused learning program designed to introduce participants to the challenges and techniques involved in working with images captured in underwater environments. It covers the core concepts behind image enhancement, restoration, segmentation, and analysis, helping learners understand how visual data can be improved and interpreted for scientific and practical applications.
This program is especially relevant for those interested in hydroinformatics, marine research, environmental monitoring, and computer vision applications. Participants will gain exposure to the basic workflow of underwater image processing and its role in extracting meaningful information from images affected by factors such as low visibility, color distortion, scattering, and noise.
By combining conceptual learning with internship-based experience, the course offers an opportunity to build both knowledge and practical insight. It is suitable for students, researchers, and professionals who want to develop specialized skills in this emerging field and apply them in academic or industry-oriented projects.
An added advantage is that purchasing the Hydroinformatics Bundle also provides access to this internship, making it a valuable option for learners who want broader training across related topics in hydroinformatics.
This program is especially relevant for those interested in hydroinformatics, marine research, environmental monitoring, and computer vision applications. Participants will gain exposure to the basic workflow of underwater image processing and its role in extracting meaningful information from images affected by factors such as low visibility, color distortion, scattering, and noise.
By combining conceptual learning with internship-based experience, the course offers an opportunity to build both knowledge and practical insight. It is suitable for students, researchers, and professionals who want to develop specialized skills in this emerging field and apply them in academic or industry-oriented projects.
An added advantage is that purchasing the Hydroinformatics Bundle also provides access to this internship, making it a valuable option for learners who want broader training across related topics in hydroinformatics.
Short Term Course #21(STAT)
Introduction to Data Science with Practice Problems and Project Ideas
This one-year (extendable) self-paced Data Science certificate course covers performance metrics, statistical analysis, MCDM, Artificial Neural Networks, and conventional and nature-inspired optimization techniques, all taught with real-life case studies and example problems. Learners work through topics such as outlier and trend detection, correlation, risk and uncertainty, regression, ANN modeling and training, MCDM methods (AHP, ANP, MAUT, EVAMIX, ELECTRE, PROMETHEE), and optimization methods (Linear/Dynamic/Quadratic Programming, PSO, ACO, GA, Glowworm, Firefly, Mine Burst). Weekly online assignments and monthly tests support continuous learning, and on successful completion, participants receive a certificate, emailed materials for long-term use, ongoing updates while subscribed, and scope for publication based on high-quality work.
Short Term Course #20(GIS)
Introduction to Remote Sensing and Geographic Information Systems (GIS)
Remote sensing is the process of gathering information about objects or phenomena without physical contact, while GIS (Geographic Information System) captures, stores, and analyzes spatial data; together, they enable effective data-driven decision-making across sectors like agriculture, urban planning, environment, and resource management. This self-paced certificate course teaches concepts and techniques of remote sensing, GIS, GPS, and image processing—including map digitization, shapefile creation, satellite imagery analysis, and geodatabase and GeoApps development—to empower learners with the skills needed for sustainable city planning and research applications. The one-year program offers videos, quizzes, graded assignments, and one-to-one mentorship, with opportunities for certification and publication, particularly benefitting students and professionals in science and engineering fields interested in spatial data analysis and technological applications.
Short Term Course #19(AI)
Introduction to Artificial Intelligence with Project Ideas and Practice Problems
This self-paced certificate course introduces Artificial Neural Networks (ANN), the backbone of Artificial Intelligence, covering both simple and polynomial neural networks through self-explanatory presentations and example problems. Learners study ANN fundamentals, parameter estimation, training and testing, validation, and advanced training algorithms such as Quick Propagation, Conjugate Gradient Descent, Newton’s Method, Quasi-Newton, and Levenberg–Marquardt, along with performance evaluation using error, correlation, and efficiency metrics and case studies, including applications in water resources development. The course uses no-code ANN software, runs for a minimum of one year, includes videos, readings, practice quizzes, graded assignments and quizzes with feedback, one-to-one interaction with the coordinator, and offers a certificate of completion plus opportunities for paper or book chapter publication upon successfully passing assignments and tests.
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