AI for Data Teams: Healthcare Edition — July 2026

Catherine Del Vecchio Fitz

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, training, and deploying machine learning models — from classical ML to deep learning.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Move Beyond Prompting and Learn How Modern AI Systems Are Built

25+ Years Data, Analytics & AI

Eric Just

25+ Data Practitioner: Developer, Architect, Executive, Founder. AI Builder.

Private & Local AI for Healthcare: 2 Day Hands-On Workshop

25+ Data Practitioner: Developer, Architect, Executive, Founder.

<h3>Why I enrolled</h3>

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<h3>What I’ll apply</h3>
<p class="p2-tall">We are working through what part of our stack can be transferred to a small model approach. The performance comparison in particular will be immediately useful. Also the document extraction examples and PHI checks were very relevant. </p>
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Certificate

Learn more about this course