Upcoming Search Classes

Happy New Year, everyone! I hope 2023 is off to a great start for you.

Are you excited to kick off the new year by learning more about search?

If so, you’re in luck! Hopefully one of these three upcoming CoRise classes will suit your needs and schedule. And there’s discount code at the bottom!

Search Fundamentals: February 6 — February 19

Grant Ingersoll and I designed this 2-week course to introduce the fundamentals of search to engineers, data scientists, and other technical professionals new to the area. We’ll cover the basics of indexing, querying, hand-tuned ranking, aggregations, and search user interfaces. To gain practical experience, you will build an application using OpenSearch (an open fork of Elasticsearch) and a public ecommerce dataset. This course will also prepare you for the Search with Machine Learning course, which assumes familiarity with search fundamentals as a prerequisite.

Search with Machine Learning: February 27 — March 26

Grant Ingersoll and I designed this 2-week course to cover the fundamentals of integrating machine learning and natural language processing techniques into search engines. We’ll learn how to use machine learning for ranking, content understanding, and query understanding, along with how to use embeddings, dense vectors and deep learning to improve retrieval and ranking. You will build applications using OpenSearch (an open fork of Elasticsearch) and several ML libraries and plugins. Note: This course assumes that you have already learned search fundamentals; if not, then we encourage you to take our companion Search Fundamentals course so that you will be prepared for this one.

Search for Product Managers: April 3 — April 29

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.

You can get a discount on any (or all!) of these classes by registering with the code DG10SEARCH. That will also let the system know that you signed up via me or Grant, which benefits us and makes us feel warm and fuzzy.

Looking forward to seeing lots of new faces this spring. Hopefully yours!

Again, here are the links to register:

• Search Fundamentals: February 6 — February 19
• Search with Machine Learning: February 27 — March 26
• Search for Product Managers: April 3 — April 29