AI/ML Training Program for Young Scientists and Researchers – May 2025

Background : Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way we approach research and innovation across all fields of study. This specialized training program is designed to provide young scientists and researchers with the necessary skills and knowledge to integrate AI and ML techniques into their academic work or research. The program offers sessions covering both foundational learning and hands-on experience, equipping participants with the tools and techniques needed to advance their research and teaching in these emerging fields.

Who Should Apply? This program is tailored for young scientists members, postdoctoral researchers, and early-career scholars who wish to enhance their expertise in AI and ML. Whether you are new to these fields or looking to deepen your existing knowledge, this program will guide you through the essential concepts, methods, and applications of AI and ML.

Key Benefits of the Program:

Comprehensive Curriculum: Learn the basics of AI and ML, advanced techniques, and their practical applications in various research domains.
Hands-On Training: Apply your knowledge through real-world projects, coding exercises, and research case studies.
Expert Instructors: Learn from AI and ML experts with significant experience in both academia and industry.
Collaborative Learning: Engage with peers and form connections with fellow researchers across various disciplines.
Cutting-Edge Resources: Gain access to the latest AI and ML tools, software, and research materials.

Program Structure
The training program will cover the following broad topics:

Introduction to ML
Machine Learning Components: Data, Model, Evaluation
Revisiting Nearest Neighbor Classification
Retrieval, Performance Evaluation and Metrics
Linear Classifier
Representing Textual Data
Perceptrons and gradient descent
Loss functions and gradient descent
Regression
Clustering
Feature selection and PCA
Multi Layer Perceptron
Probabilistic ML models
Deep Learning Architectures

Program Duration: 24 weeks
Mode of Delivery: Live-interactive online sessions for both lectures and tutorials
Schedule: Starts on 03 May 2025 with contact sessions every Saturday.
Assessment: Participants will be evaluated through practical assignments, hands-on projects, and light-weight quizzes.

Eligibility: Open to young scientists, postdoctoral researchers, and early-career researchers from all disciplines. Preference would be given to those working in public Universities/Research Establishments.
Basic knowledge of programming (preferably Python) is recommended, though not required. A keen interest to appreciate programming is absolutely essential.

Application Process: Please complete the online application form with your academic and professional details. Include a brief statement of interest explaining how the training will benefit your research or career. Since seats are limited, we may screen candidates based on eligibility and other associated criteria.

Application Deadline: 15 April 2025

Program Fee: Rs 30,000 (Thirty thousand Rupees only – inclusive of all taxes)

For any inquiries, please contact the Program Coordinators:

Ms Faheema V V
Ms Midhuna Chandran