Tue, Jul 28, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course

Tue, Jul 28, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
See the old pattern underneath the new name
Know when a loop earns its token bill
Stop agents from grading their own homework
Why this topic matters
You'll learn from
Hugo Bowne-Anderson
AI & data engineer, consultant, educator of 6+ million students (ex-Yale)
Hugo Bowne-Anderson is an independent data & AI consultant with extensive experience in the tech industry. He has advised and taught teams building AI-powered systems, including engineers from Netflix, Meta, and Amazon. He is the host of Vanishing Gradients, where he explores developments in data science and artificial intelligence, and has written for publications including Harvard Business Review and VentureBeat. Previously, Hugo served as Head of Developer Relations at Outerbounds and held roles at Coiled and DataCamp, where his work in data science education reached over 6 million learners. He has taught at Yale University, Cold Spring Harbor Laboratory, and conferences including SciPy and PyCon, and is a passionate advocate for democratizing AI skills and open-source tools.
Coached teams at