ARTIFICIAL INTELLIGENCE PROFESSIONAL PROGRAM STANFORD UNIVERSITY
XCS221 - Artificial Intelligence: Principles and Techniques |
Covered broad AI topics, including Machine Learning, Search Algorithms, Game Playing, and Graphical Models. Implemented neural networks and search algorithms in Python, completing hands-on coding projects.
XCS224W - Machine Learning with Graphs |
Applied GraphSage and other graph-based ML techniques to real-world datasets using PyTorch Geometric. Focused on leveraging graph-structured data for predictive modeling, implementing node embeddings and graph neural networks.
Skills developed:
Python, PyTorch, Neural Networks, Graph Neural Networks, Machine Learning fundamentals
CERTIFICATE IN USER EXPERIENCE DESIGN GENERAL ASSEMBLY
Mastered in-demand UX skills by engaging in hands-on, live 10-week training in San Francisco, focusing on best practices for design patterns and business goal analysis from a user perspective.