1) Data-driven and AI-first finance
2) Basic Python for Algorithmic Trading
3) Live demo of an algorithmic trading strategy
4) Standardized deployment of algorithmic trading strategies
5) Workflow with The AI Machine (strategies in Python, backtesting, one-click deployment)
Founder and Managing Partner of The Python Quants
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also founder and CEO of The AI Machine, a company focused on harnessing the power of artificial intelligence for algorithmic trading via a proprietary strategy execution platform. He is the author of two other books: Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program and on algorithmic trading at the EPAT Program. He is also the director of the first online training program leading to a University Certificate in Python for Algorithmic Trading. Yves wrote the financial analytics library DX Analytics and organizes meetups, conferences, and bootcamps about Python for quantitative finance and algorithmic trading in London, Frankfurt, Berlin, Paris, and New York. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.