4 Weeks
·Cohort-based Course
Vibe-code your way to AI-Powered Search
This course is popular
8 people enrolled last week.
4 Weeks
·Cohort-based Course
Vibe-code your way to AI-Powered Search
This course is popular
8 people enrolled last week.
Previously at
Course overview
Achievable, Relevant Search without the PhD
Great query and document understanding once took months of dedicated expertise to see results. With AI, you can see wins within weeks or days. Learn how to cut to the heart of your user's search problems, driving relevant, profitable search results.
01
Search teams eager to evolve that crufty-old search engine towards a modern approach
02
Search startups eager to get a fast start with a modern approach to search, sidestepping old, outdated practices
03
Team leads and managers excited to organize their work in a way aligned with modern approaches to Relevant Search
Increase team velocity
Help your understaffed search team see better outcomes faster with your search engine
Cheat at search with LLMs
Sidestep traditionally complex query and content enrichment with Large Language Models
Make the unstructured, structured
Learn how there's no longer such a thing as "unstructured search". Turn any piece of query into a structured, well-formed query to your search backend
Make it a reality in production
Kick the theoretical to the curb. Deploying LLMs to production has gotten easier and easier. Smaller/local LLMs smarter. Do it all without a big OpenAI bill.
4 interactive live sessions
Lifetime access to course materials
1 in-depth lesson
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Cheat at Search with LLMs
Bertrand Rigaldies
Audrey Lorberfeld
Principal AI Engineer in Search
Doug Turnbull is an expert in search technology and relevance engineering, currently serving as Principal Engineer at Daydream, where he builds hybrid search systems combining lexical and vector retrieval, and develops LLM-driven quality programs for e-commerce search. Previously, he led machine-learning-driven search initiatives at Reddit, significantly improving search relevance through Learning to Rank methods. Doug also advanced e-commerce search at Shopify and served as CTO at OpenSource Connections. He co-authored the influential book Relevant Search (Manning, 2016) and created popular open-source tools, including Quepid and the Elasticsearch Learning to Rank plugin. He regularly speaks at industry conferences, making search relevance accessible to engineers.
Join an upcoming cohort
Cohort 1
$1,100
Dates
Payment Deadline
4-6 hours per week
Mondays
12:30 PM ET
Learn this week's technique
Weekly projects
2 hours per week
Hands on projects making practical, LLM-driven search a reality
Fridays
12:30PM ET
Review, recap, and questions
Faster search development
Increase your team's pace of building relevant search applications using AI / Large Language Models
Own your search
Learn how to think about search problems in a way that matches to YOUR user's expectations
Grow your search network
Get connected to the broader search community, get to know others in your space solving challenging search problems
Join an upcoming cohort
Cohort 1
$1,100
Dates
Payment Deadline