All current Computer Science Courses courses in 2024
3154 Courses
Meaning and Intelligence in Language Models
Explore how language models process meaning and develop intelligence through insights from Stanford's leading NLP researcher and neural network pioneer.
AI for Power Systems
Explore AI applications in power systems with Professor Pascal Van Hentenryck from Georgia Tech in this comprehensive 2.5-hour summer school session.
Trust at Scale - Security and Governance for Open Source Models
Explore security challenges and governance solutions for open source AI models in enterprise environments with expert insights on MLOps best practices.
Context in AI Research - Focus on Healthcare
Explore AI robustness and fairness in healthcare through context-aware research, covering evaluation methods, out-of-distribution learning, and wearable data analysis for maternal health.
Hyperdimensional Computing Hardware - Racetrack Memories
Explore novel hardware techniques using racetrack memories for efficient hyperdimensional computing in this 12-minute research presentation from METACOG-25.
GenAI for Marketing and Customer Insights
Master GenAI tools like ChatGPT and Google Ads AI to create personalized campaigns, analyze customer behavior, and automate content creation across 16 hands-on marketing applications.
AI for Healthcare Systems
Explore AI tools, applications, and systems transforming healthcare through analytics, data visualization, and decision-making optimization for mid-career professionals.
Agentic AI Protocols - MCP, A2A, and ACP
Explore MCP, A2A, and ACP protocols for coordinating autonomous AI agents, featuring live demos and strategies for building scalable, interoperable multi-agent systems.
Machine Learning for Power Systems - Is it Time to Trust it?
Explore machine learning applications in power systems and evaluate their trustworthiness with Professor Spyros Chatzivasileiadis from DTU in this comprehensive 2-hour session.
Neural Networks Foundations - Part 2
Dive into advanced neural network concepts and architectures to deepen your understanding of deep learning fundamentals and practical applications.
Neural Networks and VC-Dimension Tutorial
Explore the theoretical foundations of neural networks through VC-dimension analysis, examining upper bounds for predicates computed by Boolean linear combination networks.
Deep Learning - Large Language Models - Lecture 6
Explore Large Language Models in this comprehensive deep learning lecture by Prof. Pitas, covering key concepts and applications in modern AI systems.