- Deep Learning Foundations and Concepts (Christopher Bishop, Hugh Bishop, 2023)
- Probabilistic Machine Learning (Kevin Murphy)
- Introduction to Probability for Data Science
- Statistical Rethinking + lectures and code
- Deep Learning Specialization (Coursera, DeepLearning.ai)
- Advanced NLP (CMU, 2025)
- TinyML and Efficient Deep Learning Computing (2024, MIT)
- Transformers United (2024, Stanford)
- Deep Generative Systems (2023, Stanford)
- Machine Learning with Graphs + lectures (2021, Stanford)