Bootcamp 3

Thomas Lerch

Product managers who drive strategy, development, and launch of products.

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Using data and metrics to measure performance, run experiments, and inform decisions.

Using Claude Code to build and ship software through an AI-powered command-line coding workflow.

Leave with a working agentic analytics system on your machine, a polished analysis, and the patterns and frameworks to make it all yours.

Principal Data Scientist @ Ontra 

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

Agentic Analytics: Build an AI Analyst

AI Analyst Lab

Research and Education in Agentic Data Science & Analytics

<h3>Why I enrolled</h3>
<p class="p2-tall">I'd like to be able to transfer the knowledge I gain in the workshop to build out an agent based workflow (e.g. with sub-agents) to analyze my growthbook A/B testing results from checking for SRM with one agent and do other things with other agents.</p>
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<h3>What I’ll apply</h3>

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Certificate

Learn more about this course