Advanced Machine Learning: Supervised and unsupervised learning, model evaluation, feature engineering, ensemble methods, and optimization techniques
Algorithm Design and Analysis: Complexity analysis, algorithm efficiency, optimization strategies, and scalable system design
Data Analytics & Analytics for Business: Applying data-driven decision-making, predictive analytics, business intelligence, and translating data insights into business strategies
Deep Learning & Its Applications: Neural networks, CNNs, RNNs, NLP basics, computer vision, and real-world AI use cases