All current Informatik courses in 2024
3169 Kurse
Introducing Silicon-Optimized Inference Snaps
Discover how Canonical's new inference snaps simplify AI model deployment on Ubuntu with one-click installation, dependency management, and hardware optimization demos.
How AI Learns - A Deep Conversation with Reinforcement Learning and AlphaGo
Discover how AI masters complex games through reinforcement learning in this interview with ACM Prize winner David Silver, exploring AlphaGo's breakthroughs and AI's future.
Effortless AI Serving with GKE Inference Gateway - Episode 6
Discover GKE Inference Gateway for deploying and scaling LLMs on Kubernetes with model-aware routing, optimized load balancing, and dynamic LoRA serving for cost-effective AI inference.
Why Observability Will Decide Who Survives the AI Era
Discover why observability is crucial for surviving AI-era complexity and preventing costly outages like the DNS glitch that took down major internet services for 15 hours.
Z-Image Turbo LoRA Training with AI Toolkit and Z-Image ControlNet Full Tutorial for Highest Quality
Master Z-Image Turbo model setup, ControlNet integration, and high-quality LoRA training using Ostris AI Toolkit across local PC, RunPod, and MassedCompute platforms.
AI Killed DevOps... What Now?
Explore how agentic AI is transforming DevOps into an "invisible SDLC" and learn to navigate the shift from traditional workflows to AI-native development practices.
Emerging Architectures for Real-Time Observability at Scale
Explore evolving observability architectures with OpenTelemetry, disaggregated stacks, Observability 2.0, and AI integration for real-time system performance monitoring.
Building an AI-Powered Waste Classification System Using Amazon Nova and IoT - AIM256
Discover how AWS Chile built an AI waste classification system achieving 95% accuracy in under 3 seconds, reducing CO2 emissions by 644.7 kg while keeping costs under $300 implementation.
Warner Music Group - Apache Iceberg on AWS and Snowflake
Discover how Warner Music Group leverages Apache Iceberg and Snowflake on AWS to create an interoperable data ecosystem, enabling deeper analytics and setting the foundation for ML/AI initiatives.
Federated Learning - Schemes, Privacy, and Security
Explore federated learning challenges, privacy-preserving ML frameworks, and security solutions for distributed AI systems across healthcare, IoT, and cybersecurity domains.
How Much Effort Is Enough? - Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Explore algorithmic fairness and recourse through substantive equality of opportunity, examining effort requirements in fair machine learning systems.
Energy Efficient and High Throughput Inference Using Compressed Tsetlin Machine
Discover how Tsetlin Machine revolutionizes AI with Boolean logic, achieving 10x faster inference and 20x energy efficiency over neural networks for edge computing applications.