AI Engineering Bootcamp
Five days of hands-on AI engineering for data practitioners: get your data into agents, make them trustworthy, and ship one by Friday.
Agentic AI Foundations
See through the hype: what an agent really is, how it works inside and when you should use one, and build a small one yourself to see it in action.
Context Engineering
Give an agent the right information at the right time. A day on context, memory and progressive disclosure, where you build a Model Context Protocol (MCP) server, a skill and a Retrieval-Augmented Generation (RAG) pipeline with hands-on exercises.
Talk to Your Data
Give your agent your own information. Learn why tables and documents need different treatments, with a focus on structured data and a hands-on part on Databricks.
Agent Evaluation
Build an evaluation suite for an agent and use its traces to find out why it fails.
Agents in Production
Learn which questions to ask before an agent goes to production, and how to answer the ones about access, scale, cost and security.
Agentic SDLC
Learn where agents speed up the software development lifecycle, and how to set up your team and repo so that speed lasts.
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