This course examines how robo-advisors use technology, algorithms, and data-driven models to construct and manage investment portfolios. Learners explore risk profiling, investor objectives, quantitative and qualitative inputs, allocation frameworks, and automated rebalancing methods. The course highlights how automation enhances efficiency and standardizes portfolio decisions across client types. Designed for investors, analysts, and fintech learners, it provides a strong foundation for understanding and evaluating modern automated investment platforms.