Cheat at Search with LLMs
4 Weeks
·Cohort-based Course
Vibe-code your way to Relevant Search
This course is popular
10 people enrolled last week.
Cheat at Search with LLMs
4 Weeks
·Cohort-based Course
Vibe-code your way to Relevant Search
This course is popular
10 people enrolled last week.
Previously at
Course overview
Practical approach for search teams to adopt LLMs to improve 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Search startups eager to get a fast start with a modern approach to search, sidestepping old, outdated practices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.
What’s included
Live sessions
Learn directly from Doug Turnbull in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Cheat at Search with LLMs
Course syllabus
Week 1
Jul
1
Optional: Pre class help
Jul
3
Lesson 1 - Query corrections with LLMs
Week 2
Jul
7
Lesson 2 - Zero shot query understanding with LLMs
Jul
9
Lesson 3 - Few shot query understanding
Jul
10
Guest Speaker - Daniel Tunkenlang - Modeling Queries as Bags of Documents
Jul
11
Lesson 4 - Content understanding
Week 3
Jul
14
Lesson 5 - Modeling similarity
Jul
16
Lesson 6 - Two tower embedding models
Jul
18
Lesson 7 - Hybrid Search
Week 4
Jul
21
Lesson 8 - LLM as a judge
Jul
22
Guest Speaker - René Kriegler - Quepid - an LLM as a judge tool for search
Jul
23
Lesson 9 - LLM as a judge/pairwise ranker
What people are saying
Bertrand Rigaldies
Audrey Lorberfeld
Meet your instructor
Doug Turnbull
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
Payment Deadline
October 2025
$1,100
Dates
Payment Deadline
Course schedule
4-6 hours per week
Mondays
12:30 PM ET
Introduce this week's topic
Weekly projects
2 hours per week
Hands on projects making practical, LLM-driven search a reality
Wednesdays
12:30 PT
Second lesson of the week
Fridays
12:30PM ET
Closing this week's topic
Search gets better when we work together
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
Frequently Asked Questions
Join an upcoming cohort
Cheat at Search with LLMs
Cohort 1
$1,100
Dates
Payment Deadline
October 2025
$1,100
Dates
Payment Deadline
$1,100
4 Weeks