📚 Syllabus & Course Curriculum
AI & Machine Learning in Healthcare
Module-by-module breakdown of Deep Learning for Financial Market Microstructure, from foundations to a certified capstone project.
Outline
Import and clean high‑frequency tick and order‑book data • Construct order‑flow imbalance and liquidity features • Generate volatility signature plots and handle asynchronous multi‑asset streams
Outline
Develop LSTM‑Attention models for price direction prediction • Implement Transformer architectures for volatility forecasting • Design reinforcement‑learning agents for optimal execution
Outline
Implement vectorized backtesting with realistic transaction‑cost modeling • Calculate Sharpe, drawdown, and other risk‑adjusted metrics • Generate performance heatmaps, regime analysis, and LaTeX‑ready tables
Earn government-registered certification in Deep Learning for Financial Market Microstructure
e-Certificate and e-Marksheet issued on successful completion.
