Doug Turnbull (Maven)

Doug Turnbull (Maven)

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Led teams at Shopify, Reddit, Wikipedia

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Doug Turnbull (Maven) -- search should be an asset. Not mysterious.

In 2012, Doug got bit by the search bug and he's still trying to keep up. From full-text search, to Learning to Rank models, to search agents that generate their own code, he knows the endless landscape first hand. Yet Doug wants to deeply understand the what / how / why, and help teams use these technologies practically, distinguishing hype from reality.

He’s led search at Reddit, Shopify, and Wikipedia, authored Relevant Search and AI Powered Search, and advised 100+ organizations over the years - all in pursuit of the same question: how does search actually work?

Previously at
Reddit
Shopify.com
Wikipedia
LexisNexis

Alumni reviews

AJ

Live cohort
Lead AI Engineer · Egen

Cheat at Search with Agents

Wow. How cool to see how we can use cutting edge technology like LLMs and Decision Models to create measured improvements on our search systems!

AJ

Live cohort
Software Engineer · N/A

Cheat at Search with Agents

I just finished the course and was blown away. I’ve built recommendation engines and RAG systems before, using both LLM workflows and agents, but Doug changed how I think about agentic search. He covered techniques and methods I had never even considered, and I realized that much of what I had been doing was outdated. The guest speakers were great too. The course elevated my approach to search and gave me an edge.

Collin

Live cohort
Senior Software Engineer, Search · Splice

Cheat at Search with Agents

I don't think there's any better way to learn how agentic search systems work from top to bottom. Most educators that know search systems don't have the same experience with agents. And, most that are experienced with agents haven't written books about search. Doug has done both! That, paired with the best-in-industry guest-speakers made this course worth every penny.

Murat

Live cohort
Clinician Data Scientist · Freelancer

Build Production-Ready AI Agents for the Enterprise

Most current, highly relevant hands-on with direct transfer to my projects.

Natalie

Live cohort
Machine Learning Engineer · NBC Universal

Build Production-Ready AI Agents for the Enterprise

Hugo and Doug have created a really comprehensive and high ROI course, covering agent loops and their limitations, how to do comprehensive sets of evals, guardrails on harnesses, and more. Seeing the application of RAG, MCP, evals and deployment to an e-commerce project really improved my understanding of how to build production AI agents, their failure modes and diagnostics. I also appreciated the hands-on opportunities to work on our own projects with the course learnings, and it was cool seeing people present their work.