Cursussen
18844 Cursussen
Building High-Impact Data Teams in an AI-Driven World
Discover strategies for structuring data teams across different organizational models, with insights on how reporting relationships shape priorities, influence, and success metrics in today's AI-driven landscape.
Text-to-SQL Is Not the Answer: How to Effectively Use AI for Analytics
Explore why AI complements rather than replaces BI practices in analytics workflows, with insights on effectively integrating natural language interfaces alongside traditional dashboards.
NAO: AI Code Editor for Streamlining Data Team Workflows
Discover NAO, an AI code editor built for data teams that unifies fragmented analytics engineering workflows across multiple tools, reducing context switching and enhancing productivity for data professionals.
AGI is Already Here - Redefining Intelligence Through Compound AI Systems
Explore how compound AI systems that combine LLMs with data and tools create intelligence rivaling human capabilities, offering insights for building AI workflows and general-purpose agents that outperform humans.
Revolutionize AI Engineering with AutoGen
Discover Microsoft's AutoGen framework for building AI agent systems that transform complex workflows, accelerate timelines, boost accuracy, and reduce costs through automation.
Building an LLM-Powered Analytics Slack Bot at Twitch
Discover how to build an LLM-powered analytics bot for Slack that enhances data operations through SQL query generation, chat summarization, and account lookups using AWS services at Twitch.
Building Reliable Agentic AI Systems
Explore how to build reliable agentic AI systems from stochastic components, drawing inspiration from robotics, cybernetics, and biology to develop intuitions for non-deterministic decision making systems.
How to Solve Error Cascades in Agents - Eval Agents
Explore how errors compound in multi-turn AI systems and learn to use "eval agents" for trajectory evaluation to improve agent performance through real-world failure examples and practical assessment techniques.
The Future of Guardrails - Risk Management Frameworks for Generative AI Applications
Explore comprehensive risk management frameworks for generative AI applications, covering reliability assessment approaches for RAG-augmented chatbots and autonomous agents to minimize failure modes in real-world deployments.
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.