All current Computer Science courses in 2024
3147 Courses
Introduction to Artificial Intelligence - Game Theory and Nash Equilibrium - Lecture 08
Explore game theory fundamentals and Nash equilibrium concepts in AI problem-solving environments through algorithmic techniques and strategic decision-making frameworks.
The New Geometry of Intelligence - Spectral Superposition Theory of Feature Geometry
Discover how spectral superposition theory reveals the geometric structure underlying AI feature representations and intelligence mechanisms.
Building a Smart Email Assistant with Mastra
Master building intelligent email assistants with Mastra through agent creation, RAG integration, and multi-step workflow design.
Machine Learning Tools for Mathematical Discovery
Explore ML tools like FunSearch and AlphaEvolve for mathematical discovery, comparing reinforcement learning and LLM-based approaches for finding interesting constructions.
The Secret to Secure AI Code
Discover how to secure AI-generated code by identifying three critical security risks and implementing Snyk Studio's real-time vulnerability detection within your IDE.
AI-Powered Software Engineer
Master software engineering fundamentals while leveraging AI tools effectively to design robust, scalable systems with confidence.
Fundamentals of Machine Learning
Master machine learning fundamentals with hands-on experience in supervised/unsupervised learning, data preparation, model optimization, and cloud deployment on AWS and Azure.
25 Years of Tech Wisdom in 50 Minutes
Discover 25 years of tech wisdom from Kubernetes co-creator Kelsey Hightower, covering career growth, AI insights, and engineering patterns that separate adaptable professionals from those left behind.
Can You Trust Your Large Language Model? - Assessing ML Model Performance and Reliability
Explore how machine learning models can deceive us and learn techniques to accurately assess LLM performance in an era of increasingly complex "black box" algorithms.
Let's Build Pipeline Parallelism from Scratch - Tutorial
Master pipeline parallelism by building distributed AI training systems from scratch, implementing GPipe micro-batching and 1F1B algorithms across multiple GPUs step-by-step.
Train Your AI with System Modeler
Discover how Wolfram System Modeler bridges physics-based modeling with machine learning through reinforcement learning, neural surrogates, and predictive controllers for AI training.
How Can Machine Learning Help Formal Proving?
Explore how AI and machine learning can revolutionize automated theorem proving and tackle unsolved mathematical problems through formal verification methods.