Kurse
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AI Cram Session - Demystifying Machine Learning Concepts
Dive into a beginner-friendly exploration of machine learning concepts, acronyms, and mathematical foundations through colorful illustrations and metaphors designed to demystify AI engineering.
AI-Powered Automation: Supercharge Data Intensive Workflows with Intelligent Agents
Discover how to transform unstructured data into actionable insights using AI agents, automating data-intensive workflows for analysts and knowledge workers dealing with PDFs, contracts, and regulatory documents.
No More BS: How and When to Really Leverage AI
Discover practical frameworks for AI implementation assessment, learning when to choose AI versus simpler methods. Gain data-driven perspectives on building quality foundations and governance before pursuing AI solutions.
Analytics and the Dark Side of the Analytics Development Lifecycle
Explore the unintended consequences of the Analytics Development Lifecycle, including stakeholder marginalization and bottlenecks, and discover solutions for restoring data access while maintaining governance standards.
AI is Going to Break Your Data Platform - Are You Ready?
Discover how AI's unpredictable workloads will disrupt traditional data platforms, requiring new approaches to handle chaotic query patterns, tighter latency constraints, and evolving optimization strategies.
TapeAgents: A Powerful Framework for Building and Optimizing AI Agents
Discover TapeAgents, a framework for AI agent development featuring "tape" recording capabilities that capture agent actions, thoughts, and observations, enabling unprecedented transparency and data-driven optimization for robust real-world applications.
Scaling GenAI and Agentic Workflows for Practical Solutions with Zerve
Discover how enterprises like Canal+ and NASA scale Generative AI through Zerve's distributed computing engine, transforming experimental AI into cost-efficient business solutions while streamlining development and reducing infrastructure costs.
The Model is Not the Product - Challenges in Building Successful AI Applications
Discover why powerful foundation models don't guarantee successful AI products. Explore the engineering, UX, and business considerations that bridge the gap between model capabilities and solving real user problems.
Chaos By Design: Simulation Based Testing for AI Agents
Explore simulation-based testing for AI agents in complex scenarios where traditional approaches fail. Learn how deterministic simulation environments help test agents navigating dynamic systems without predefined solutions.
How to Build Your Own Model Router
Discover how to build model routers that optimize LLM selection, improving accuracy by 25% while reducing costs by 90% through intelligent routing methodologies for multi-model AI systems.
OramaCore: A Search Database with LLMs Built In
Discover OramaCore, a GPU-powered database integrating multiple LLMs and JavaScript in a single process. Learn about its architecture, algorithms, and performance optimizations that make it ideal for agentic AI applications and SaaS Copilots.
OAKS: Open Agentic Knowledge Stack
Explore how Knowledge Graphs power GraphRAG in the Open Agentic Knowledge Stack (OAKS), bridging enterprise AI adoption with structured knowledge for specialized models and domain expert agents.