Curated: Worth Your Time
A personal mapping of classes, talks, videos, and podcasts on complex systems, robotics, engineering, information technology, mathematics, and economics/social sciences — things I've found genuinely valuable. This is a curation and pointer list only: 100% of the credit and citation for this work belongs to the original authors and sources linked from each card below.
Transformers and Large Language Models (LLMs)
A Stanford University course exploring the evolution of NLP methods, the core components of the Transformer architecture, how they relate to LLMs, and techniques to enhance model performance for real-world applications.
Source: Stanford University · Afshine Amidi, Shervine Amidi
The Stanford Robotics and Autonomous Systems Seminar
A seminar series hosted by Stanford University featuring talks from researchers across robotics and autonomous systems, covering perception, planning, control, and learning for real-world autonomous agents.
Source: Stanford University
CS329A: Self-Improving AI Agents
Stanford course on building AI agents that improve themselves over time through feedback, memory, and iterative refinement, in the context of large language models.
Source: Stanford University
CS234: Reinforcement Learning
Stanford's course on reinforcement learning, covering Markov decision processes, model-free and model-based methods, value function approximation, policy gradients, and exploration, taught by Emma Brunskill.
Source: Stanford University · Emma Brunskill
CS229: Machine Learning
Stanford's foundational machine learning course, covering supervised and unsupervised learning, deep learning, generalization theory, and practical advice for building machine learning systems.
Source: Stanford University
CS224W: Machine Learning with Graphs
Stanford's course on machine learning techniques for graph-structured data, covering node embeddings, graph neural networks, knowledge graphs, and applications such as recommender systems and drug discovery, taught by Jure Leskovec.
Source: Stanford University · Jure Leskovec
AA203: Optimal and Learning-Based Control
Stanford Online course providing basic solution techniques for optimal control and dynamic optimization problems, as found in work with rockets, robotic arms, autonomous cars, option pricing, and macroeconomics.
Source: Stanford Online · Marco Pavone
Curso de Aprendizaje por Refuerzo
Curso de Aprendizaje por Refuerzo impartido por el Dr. Rolando Menchaca Méndez en el Centro de Investigación en Computación del IPN.
Source: NDS LAB · Dr. Rolando Menchaca Méndez
Curso de Aprendizaje Profundo (Deep Learning)
Curso de Aprendizaje Profundo (Deep Learning), publicado por el canal NDS LAB del Centro de Investigación en Computación del IPN.
Source: NDS LAB
Análisis y Diseño de Algoritmos (A2025)
Curso de Análisis y Diseño de Algoritmos (A2025), publicado por el canal NDS LAB del Centro de Investigación en Computación del IPN.
Source: NDS LAB
Robotics Education: MATLAB and Simulink Robotics Arena
A playlist on robotics education using MATLAB and Simulink, published by MathWorks' Robotics Arena.
Source: MATLAB (MathWorks)
Introduction to Complexity
These are videos from the Introduction to Complexity online course hosted on Complexity Explorer.
Source: Complexity Explorer (Santa Fe Institute)
Dynamical Systems and Chaos
A playlist on dynamical systems and chaos theory, published by Complexity Explorer.
Source: Complexity Explorer (Santa Fe Institute)
Random Walks Tutorial
A tutorial playlist on random walks, published by Complexity Explorer.
Source: Complexity Explorer (Santa Fe Institute)
Sistemas Complejos y Teoría de Redes
Curso sobre sistemas complejos y teoría de redes.
Source: YouTube
Pensamiento Sistémico y las Ciencias
Curso sobre pensamiento sistémico y las ciencias.
Source: YouTube
Lecciones de Economía
Lecciones de Economía, impartidas por Jesús Huerta de Soto.
Source: YouTube · Jesús Huerta de Soto
CS223A: Introduction to Robotics
Full course on the fundamentals of robotics — kinematics, dynamics, trajectory planning, and control.
Source: Stanford University (Stanford Engineering Everywhere)
Game Theory
Game Theory, a full course taught by Ben Polak.
Source: Yale University (Open Yale Courses) · Ben Polak
My Own Media
Podcast episodes and recorded talks/presentations that I've authored or delivered myself.