Learn to use AI in financial portfolio optimisation, quantitative trading strategies, exchange forecasting and analysis! 😯

In a project-based way, in our AI in Finance workshop, at just ₹2499. 😎

AI in Finance is a project-based workshop designed for finance enthusiasts and professionals to get a comprehensive understanding of how to acquire the right foundations to be part of the AI revolution in Finance. Aspiring data scientists, ML practitioners, as well as investment analysts and portfolio managers working in the finance and investment industry can attend this workshop.

After the completion of this certificate workshop, you will understand what AI is and how it is used in finance. You will learn:

• The exciting new fintech areas of crowdfunding, robo-advising, financial social platform, and the democratization of trading and investments.

• What AI and machine learning are, and how to use their algorithms.

• How large financial institutions and fintech startups use AI to improve their financial products.

Dates and Timings:

• Dates: 2, 3, 9, 10, 16, 17, Saturdays and Sundays, July 2022.

• Timings: 5:00 pm - 7:00 pm Indian Standard Time.

• Links: Joining links, learning material, and other details will be shared via email.

Early-bird registrations end in 9 days! Early-bird fee: ₹2499/-.

Instructor profile: Abhilash Majumder, NLP Research Scientist at MSCI Inc, author and contributor to Google Research, Tensorflow, and PyPi. Ex - HSBC, NIT Durgapur. LinkedIn: https://www.linkedin.com/in/abhilash-majumder-1aa7b9138/

Curriculum:

This session will be based on the applications of deep learning /stochastic learning on different aspects of finance, inclusive of portfolio optimization, quant trading strategies, exchange forecasting, analysis and brief overviews of standard HFT methodologies and crypto. Most of the focus will be on Time series forecasting, Deep Reinforcement Learning, algorithmic trading methods and stochastic processes.

• Portfolio Optimization (Week 1: Sat-Sun): Learning to optimize stocks and returns from S&P 500 securities to make a balanced portfolio. This will be heavily based on complex reinforcement learning agents who will be trained to manage portfolios following the standards of S&P trading.

• Forecasting (Week 2: Sat-Sun): Automated stock price prediction using RL agents and time series. This includes forecasting rates, equities and financial asset returns and exploring different quant methodologies for long and short-term growths. 

• HFT and Credit Risks (Week 3: Sat-Sun): This is entirely based on HFT methodologies and how simple NNs to complex transformers can get good trading strategies; This would also cover credit risk methodologies, loan fault predictions and other predictive learning applications. Some part would be devoted to trading in the crypto space.

Limited seats! Register today. Head over to: https://www.townscript.com/e/ai-in-finance-aog