16-745: Optimal Control & Reinforcement Learning (Spring 2025)
21-759: Differential Geometry (Spring 2025)
16-782: Planning and Decision-making in Robotics (Fall 2024)
16-811: Math Fundamentals for Robotics (Fall 2024)
16-761: Mobile Robots (Spring 2024)
16-833: Robot Localization and Mapping (Fall 2023)
Sensor Fusion NanoDegree
Deep Learning NanoDegree
Deep Reinforcement Learning NanoDegree
First Principles of Computer Vision Specialization by Columbia University
Generative Adversarial Networks (GANs) Specialization by deeplearning.ai
Natural Language Processing Specialization by deeplearning.ai
Deep Learning Specialization by Andrew Ng
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Machine Learning by University of Washington
Machine Learning Foundations: A Case Study Approach
Machine Learning: Regression
Machine Learning: Classification
Data Science by Johns Hopkins University
The Data Scientist's Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Algorithms by UC San Diego
Data Structures
Algorithms on Graphs
Synapses, Neurons and Brains by Hebrew University of Jerusalem
Machine Learning by Andrew Ng
Statistical Learning
18.01x Single Variable Calculus by MIT
6.431x: Probability - The Science of Uncertainty and Data by MIT