Programs
Long-form learning that blends actuarial science and AI — structured programs, credential-bearing certifications, and hands-on internships.
Programs
Comprehensive, long-form courses blending actuarial science and AI.
Program
Registrations Open
27 April 2026 – 16 May 2026Online
The Summer Course in Actuarial Data Science is a free three-week program run by the Sri Sathya Sai Institute of Actuaries, from 27 April to 16 May 2026, teaching school and college students the foundations of actuarial science and data analysis. The Institute and Faculty of Actuaries (IFoA), UK is the 2026 Knowledge Partner.
Flagship certification
AI Actuaries Certification
The AI Actuaries Certification is the Institute's flagship program, blending actuarial science with machine learning and AI for professionals who want to lead the transformation of the insurance and risk industry.
Learn moreCertifications
Structured programs that build toward a credential.
Certification
Data Science for Actuaries builds a foundation in data science techniques tailored to actuarial work, from statistical modelling through to predictive analytics.
Certification
Advanced Risk Analytics covers modern risk quantification: stochastic modelling, scenario analysis, and the computational techniques behind them.
Certification
Core toolkit for actuaries working with large-scale data and predictive models.
Certification
Governance, fairness, and transparency frameworks for AI-driven insurance products.
Certification
Machine Learning in Insurance covers practical applications across pricing, reserving, fraud detection, and customer analytics.
Internships
Practical experience and real-world application of actuarial science.
Internship
Registrations Closed
2 May 2026 to 27 June 2026Puttaparthi
📚 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 (𝟴-𝗪𝗲𝗲𝗸 𝗝𝗼𝘂𝗿𝗻𝗲𝘆):
𝗔𝗜 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 (𝗔𝗜-𝗔𝗜𝗣) is an intensive 𝟴-𝘄𝗲𝗲𝗸 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗶𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 designed to bridge actuarial science with cutting-edge AI. The program covers the foundations of actuarial science, data, and AI; predictive modeling for insurance use cases; an introduction to Agentic AI and Large Language Models (LLMs); the development of actuarial AI assistants; and capstone project development and deployment.
