The Hidden Simplicity of GenAI Systems
Hosted by Hugo Bowne-Anderson and John Berryman
Tue, Jul 1, 2025
3:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course


Tue, Jul 1, 2025
3:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
71 students
Go deeper with a course


What you'll learn
Understand the core building blocks behind GenAI apps
Reframe complexity into reusable patterns
Leave with practical inspiration
Why this topic matters
You'll learn from
Hugo Bowne-Anderson
Podcaster, Educator, DS & ML expert
Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.
John Berryman
AI Consultant and Builder, Co-Author of Prompt Engineering for LLMs, ex-Github
John Berryman is the founder of Arcturus Labs, where he helps teams build AI applications. He was an early engineer on GitHub Copilot, contributing to both its code completions and chat features, and is the coauthor of Prompt Engineering for LLMs (O’Reilly).
Before Copilot, John worked in search – helping build systems for the US Patent Office, Eventbrite, and GitHub. He also coauthored Relevant Search (Manning), a guide to modern search technology.
With experience spanning foundational search and cutting-edge LLM tools, John brings a deep, practical understanding of how to design smart, useful AI systems.
Learn directly from Hugo Bowne-Anderson and John Berryman
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