All current מדעי המחשב courses in 2024
3169 קורסים
2026 Education Technology Trends - Identity, Security and Devices at Scale
Explore strategic frameworks for managing K-12 technology in 2026, covering AI adoption, identity governance, security architecture, and device management at scale.
Why Data Architecture Determines AI Success or Failure
Discover how data architecture fundamentals directly impact AI project outcomes and implementation strategies with industry experts from ArangoDB and Forrester.
Fundamentals of Deep Learning
Master neural networks, CNNs, and transfer learning through hands-on training and evaluation of deep learning models for real-world image classification problems.
DevOps at LLM Speed - Using an AI Copilot for Kubernetes and Jenkins
Discover how to accelerate DevOps workflows using Skyflo.ai, an open-source AI copilot for Kubernetes and Jenkins, cutting incident response time by 50% through live demos.
Introduction to Artificial Intelligence - Assignment 3 - Lecture 13
Dive into AI game programming with midterm prep, assignment demos, and implementation of game states and player strategies including random and greedy algorithms.
Introduction to AI Ethics - Lecture 12
Explore ethical considerations in artificial intelligence, examining moral implications, bias, fairness, and responsible AI development practices.
Introduction to Deep Learning - Lecture 1
Discover fundamental concepts and building blocks of deep neural networks in this comprehensive introduction to deep learning from MIT.
Zero Service Desk - Applying Machine Learning for Autonomous IT Support
Discover how machine learning transforms IT support through ServiceNow's Zero Service Desk strategy, covering prevention, deflection, automation, and augmentation for autonomous operations.
Mixture of Expert MoE - Spectral Decomposition in Orthogonal Subspaces
Discover breakthrough SD-MoE architecture using spectral decomposition for superior expert specialization, addressing why current MoE models underperform against proprietary LLMs.
Rethinking Notebooks Powered by AI
Explore how AI-powered reactive notebooks can transform data workflows from error-prone scratchpads into dependable, shareable programs and interactive applications.
Model Diffing with Crosscoders - CS 6966 Interpretability of LLMs Spring 2026
Explore model diffing techniques using crosscoders to understand differences between large language models and enhance interpretability methods.
How to Attack AI Systems and How to Defend Them
Discover how attackers compromise AI systems through adversarial manipulations and learn practical defensive strategies to build trustworthy, resilient machine learning pipelines.