All current Informatik courses in 2024
3169 Kurse
Probabilistic Models of Relational Domains
Explore advanced probabilistic modeling techniques for complex relational data structures and their applications in machine learning and artificial intelligence.
Weak and Strong Learning of Context-Free Grammars
Explore weak and strong learning approaches for context-free grammars in computational linguistics and formal language theory with expert insights from Royal Holloway University.
Cybersecurity Trends in 2026 - Shadow AI, Quantum and Deepfakes
Uncover emerging cybersecurity threats for 2026 including Shadow AI, polymorphic malware, and post-quantum cryptography to prepare for evolving security challenges.
Building a Production-Grade AI/ML Inference Platform on Kubernetes
Discover how to design and operate AI/ML inference workloads on Kubernetes for production environments, covering deployment, scaling, and optimization strategies.
Fly with AI - Harnessing AI for Faster, Safer, and More Connected Cloud Environments
Discover how AI accelerates DevOps with enhanced security, smart connectivity, and next-gen DSPM tools for faster, safer cloud environments and high-speed global AI workloads.
AI's Models of the World, and Ours
Explore how AI systems build internal representations of the world and how these differ from human understanding, examining potential mismatches through chess, navigation, and other tasks.
Cooperative AI via Simulations
Discover how simulations can advance cooperative AI systems through expert insights from Carnegie Mellon's Vincent Conitzer at the 2025 Cooperative AI Summer Retreat.
The Interplay of Economic Thinking and Language Models - Vignettes and Lessons
Explore how large language models intersect with economic thinking through mechanism design, information design, and forecasting applications.
Accelerating Incident Response Through AIOps - COP334
Discover how AI revolutionizes incident management, reducing MTTR through automated telemetry analysis, pattern identification, and AI agents to streamline troubleshooting from hours to minutes.
Deep Learning with Multiplicative Interactions
Discover how multiplicative interactions enhance deep learning architectures through insights from pioneering AI researcher Geoffrey Hinton's seminal lecture.
When Will Computers Understand Shakespeare?
Explore the challenges and future of computational understanding of complex literary texts like Shakespeare through expert analysis of natural language processing.
Machine Learning - Lecture I
Discover foundational machine learning concepts and algorithms through expert instruction from Johns Hopkins' Center for Language & Speech Processing.