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Search for Product Managers

Building effective search applications requires addressing a number of technical challenges. But fundamentally search is a product challenge, and the best search applications have strong product managers who deeply understand search.

This course is designed to teach product managers the most important things they need to know about search: Metrics and Evaluation, Relevance and Ranking, Content and Query Understanding, and Vectors and Neural Search.

Instructor profile photo
Daniel Tunkelang
Machine Learning Consultant
Real-world projects that teach you industry skills.
Learn alongside a small group of your professional peers
Part-time program with 2 live events per week:
Next Cohort
April 3, 2023
Duration
4 weeks
Price
US$ 800
or included with membership

Course taught by expert instructors

Instructor Photo
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Daniel Tunkelang

Machine Learning Consultant

Daniel is an independent consultant specializing in search, machine learning / AI, and data science. He was a founding employee of Endeca, a search pioneer that Oracle acquired in 2011. He then led engineering and data science teams at Google and LinkedIn. He’s worked with a wide range of consulting clients, including Apple, eBay, Pinterest, Salesforce, Yelp, and Zoom. He wrote a book on Faceted Search, published by Morgan & Claypool, and he blogs on Medium about search-related topics — particularly query understanding. Daniel has degrees in Computer Science and Math from MIT and a PhD in computer science from CMU.

The course

Learn and apply skills with real-world projects.

Who is it for?
  • This course is for product managers who work with or want to work with search applications.

Prerequisites
  • The class assumes no previous knowledge of search.

Not ready?

Try these prep courses first

Learn
  • Defining Relevance: Precision, Recall, Position, Discounted Cumulative Gain (DCG)
  • Collecting Judgements: Explicit Human Judgements vs. Implicit Behavioral Judgements
  • Metrics: Query vs. Session vs. User, Components vs. End-to-End, User vs. Business
  • Experimentation: Offline Analysis, A/B Testing, Interleaving, Explore-Exploit
  • Quantitative vs. Qualitative Evaluation: Analyzing Data vs. Conducting User Studies
Learn
  • Relevance vs. Ranking: Separating Objective and Subjective Concerns
  • Ranking Factors: Query-Dependent vs. Query-Independent vs. Contextual
  • Hand-Tuned and Machine Learning Ranking: Theory and Practice
  • Multiple-Phase Ranking: Computational Tradeoffs and Multiple Objectives
  • Limitations: When Ranking is Not the Solution to Your Search Problem
Learn
  • Matching vs. Ranking: Simplifying the Problem by Factoring It
  • Content Understanding: Indexing Content to make it Findable
  • Query Understanding: Representing Queries as Search Intents
  • Hand-Tuned and Machine Learning Content and Query Understanding
  • Limitations: When to Trust Algorithms vs. When to Ask Humans
Learn
  • AI-Powered Search: Representing Content and Queries as Vectors
  • Semantic Retrieval: Nearest Neighbors and Approximate Methods
  • Ranking: Combining Vector Similarity with Other Factors
  • Filtering and Sorting: Challenges of Similarity-Based Retrieval
  • Limitations: When to Stick with Traditional Indexing Representations

Real-world projects

Work on projects that bring your learning to life.
Made to be directly applicable in your work.

Live access to experts

Sessions and Q&As with our expert instructors, along with real-world projects.

Network & community

Core reviews a study groups. Share experiences and learn alongside a global network of professionals.

Support & accountability

We have a system in place to make sure you complete the course, and to help nudge you along the way.

Course success stories

Learn together and share experiences with other industry professionals

If you’re a Product Manager in a Search or a Search adjacent space then you don’t want to miss Daniel’s course on Search for Product Managers. I’ve worked with Daniel at LinkedIn and have continued to rely on him for advice on building Search products in my subsequent roles. He has unmatched expertise in both the product thinking and technology that goes into building a world-class Search experience. If you’re building either a domain specific or general search product you’ll get a ton of value from this course.

Daniel FranciscoGoogle

Frequently Asked Questions

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