.png&w=1536&q=75)
Cheat at Search with LLMs
4 Weeks
·Cohort-based Course
Vibe-code your way to Relevant Search
Cheat at Search with LLMs
4 Weeks
·Cohort-based Course
Vibe-code your way to Relevant Search
Previously at
Course overview
Practical approach for search teams to adopt LLMs and hybrid search
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.
Who is this course for
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Search startups eager to get a fast start with a modern approach to search, sidestepping old, outdated practices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
What you’ll get out of this course
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.
This course includes
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
Course syllabus
Week 1
Week 2
Week 3
What people are saying
Bertrand Rigaldies
Audrey Lorberfeld
Meet your instructor
Doug Turnbull
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
Cheat at Search with LLMs
Cohort 1
$1,100
Dates
Application Deadline
Course schedule
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
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
Join an upcoming cohort
Cheat at Search with LLMs
Cohort 1
$1,100
Dates
Application Deadline