ABOUT THE COURSE:Over the next few decades, machine-learning (ML) and AI will play a crucial role in different aspects of financial ecosystem from manging assets, assessing risks and providing investment advice. ML and AI would also enable designing advanced trading strategies that would be of interests to future analysts, traders, brokers, consultants and other industry professionals.This program has been carefully designed to cater to not only the finance industry professionals but also those from other industries that borrow significantly from finance. The operating environment for investment management firms continues to evolve, with technological innovations and shifting investor preferences at the heart of this change. In this backdrop, Artificial Intelligence (AI) is providing new opportunities for all the market participants, i.e., investors, academics, policymakers, and regulators. The objective of this course is to understand the application of Artificial Intelligence and Machine Learning techniques in financial markets, trading, and asset management. This program aims to demonstrate the applications of advanced AI-based models in the fund management industry. This includes solving real-life wealth management problems to improve investment decisions with AI.INTENDED AUDIENCE: Management students (Ph.D., MBA, BBA), Commerce students (BCom, M.Com.), Chartered Accountants, Science (B.Sc., M.Sc.), and Engineering students (B-Tech, M-Tech) Finance professionals (Investment analysts, banking professionals, accountants, credit analysts), Data ScientistsINDUSTRY SUPPORT: Data Science and Business analytics: Mu Sigma Analytics, Fractal Analytics, Manthan. Latent View, Tiger Analytics, Absolutdata, Convergytics, UST Global; Equity research firms, Credit rating firms, Investment Banks, Corporate Banking sector, Corporate Finance roles across all corporates (ICRA, ICICI, HDFC, Nomura, Lehman Brothers, SBI Capital Markets, Deutsche bank, HSBC Bank, etc.)