AI for Scientists and Research
Enable researchers and academic institutions to integrate AI into the full research lifecycle: AI-driven research workflows and automation, data-intensive scientific analysis and modeling, AI-assisted hypothesis generation and validation, and research acceleration, collaboration, and publication support. Targeted at researchers, PhD scholars, and faculty, with a focus on scientific discovery and research intelligence.
AI for Sustainability & Climate Program
Apply AI to environmental and sustainability challenges through data-driven approaches: climate analytics and environmental data science, AI for sustainability decision-making and impact analysis, and resource optimization and sustainability intelligence. Designed for sustainability professionals, researchers, and NGOs seeking to leverage AI for climate systems.
Data Science Foundation Program
Build strong foundations in data science with a focus on real-world applications: end-to-end data science lifecycle, data analysis, modeling, and visualization, and applied projects using real-world datasets. Ideal for students and early-career professionals focused on building core data and AI capability for real-world use.
AI Research & Innovation Internship (SARI)
A mentorship-driven, structured internship designed to develop AI thinking and applied capability: guided, real-world problem solving, research-oriented project development, and structured learning with expert mentorship. Open to students from school to PhD level, focusing on developing research capability and application skills.