AI for Trading Strategies (training)

Colleagues, the goal of the “AI Trading Strategies” Nanodegree program is to provide learners with the knowledge to build an AI based trading model. This includes ideation, preprocessing, model development, backtesting, and optimization. Desk-ready skills include Building a Workflow for AI, Preparing for Data Analysis, Evaluating Returns and Backtesting, Reinforcement Learning, and Optimizing AI Strategies. Skill-based training modules address: 1) Momentum-Based Trading, 2) Building a Workflow for AI, 3) Introduction to AI Workflows in Trading, 4) Unsupervised Learning, 5) Supervised Learning: Regression, 6) Supervised Learning: Classification, 7) Reinforcement Learning, 8) Preparing for Data Analysis, 9) Machine Learning Pipelines, 10) Data Acquisition and Preprocessing, 11) Feature Engineering for Trading Models, 12) Exploratory Data Analysis, 13) Project: Data Transformation for Trading Models, 14) Evaluating Returns and Backtesting, 15) Measuring Returns, 16) Measuring Risk-Adjusted Returns, 17) Backtesting a Risk Parity Portfolio, 18) Project: Evaluating and Backtesting a Dynamic Investment Strategy, 19) Representing the Financial Market: State and Action Spaces, 20) Constructing a Reinforcement Trading Model, 21) Backtesting and Optimization Techniques, 22) AI Model Optimization, 23) Constructing a Reinforcement Trading Model, 24) Project: Building a Reinforcement Learning Trading Model, and Optimizing AI Strategies. 

Enroll today at (teams & execs welcome): https://tinyurl.com/49evpzaz 

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