Module #3 Wealth Management Industry Overview History, current state, and future of wealth management industry
Module #4 AI and Machine Learning Fundamentals Basic concepts of AI, machine learning, and deep learning
Module #5 Python for AI-powered Portfolio Optimization Introduction to Python programming language for financial data analysis
Module #6 Financial Data Sources and APIs Overview of financial data sources, APIs, and data feeds
Module #7 Data Preprocessing and Cleaning Handling missing values, outliers, and data normalization
Module #8 Feature Engineering for Portfolio Optimization Extracting relevant features from financial data
Module #9 Data Visualization for Portfolio Optimization Visualizing financial data for better insights
Module #10 Data Storage and Management Best practices for storing and managing large financial datasets
Module #11 Traditional Portfolio Optimization Methods Mean-Variance Optimization, Black-Litterman Model, and other traditional methods
Module #12 Introduction to AI-powered Portfolio Optimization Using machine learning and deep learning for portfolio optimization
Module #13 Risk Analysis using AI Using AI for risk analysis, credit scoring, and stress testing
Module #14 Portfolio Optimization using Linear Models Using linear models for portfolio optimization, including linear regression and Lasso
Module #15 Portfolio Optimization using Neural Networks Using neural networks for portfolio optimization, including multi-layer perceptrons and recurrent neural networks
Module #16 Deep Learning for Portfolio Optimization Using deep learning models, including convolutional neural networks and reinforcement learning
Module #17 Natural Language Processing for Sentiment Analysis Using NLP for sentiment analysis and its application in portfolio optimization
Module #18 Alternative Data Sources for Portfolio Optimization Using alternative data sources, including social media, news, and IoT data
Module #19 ESG and Sustainable Investing using AI Using AI for ESG and sustainable investing, including screening and portfolio optimization
Module #20 Blockchain and AI-powered Portfolio Optimization Using blockchain technology for secure and transparent portfolio optimization
Module #21 Building an AI-powered Portfolio Optimization Platform Implementation of AI-powered portfolio optimization platform using Python and APIs
Module #22 Case Study:AI-powered Portfolio Optimization for Retail Investors Real-world case study of AI-powered portfolio optimization for retail investors
Module #23 Case Study:AI-powered Portfolio Optimization for Institutional Investors Real-world case study of AI-powered portfolio optimization for institutional investors
Module #24 Case Study:AI-powered Wealth Management for Family Offices Real-world case study of AI-powered wealth management for family offices
Module #25 Future of AI-powered Portfolio Optimization and Wealth Management Industry trends, challenges, and future directions
Module #26 Final Project:Building an AI-powered Portfolio Optimization Model Apply knowledge to build an AI-powered portfolio optimization model
Module #27 Final Project:Presenting and Defending the Model Present and defend the final project model
Module #28 Best Practices for AI-powered Portfolio Optimization Best practices for implementing and maintaining AI-powered portfolio optimization models
Module #29 Common Pitfalls and Challenges Common pitfalls and challenges in AI-powered portfolio optimization
Module #30 Course Wrap-Up & Conclusion Planning next steps in AI-powered Portfolio Optimization and Wealth Management career
