No-Code AI

AI / Machine Learning

Software Engineering

Managing People + Organizations

Data Science

Data Analytics

Data / Analytics Engineering

Search

Murtaza Ali

AI for Productivity

Armando Banuelos

Software Engineer & Educator

Samin Khan

Machine Learning Research Scientist at TeachFx

Natural Language Processing

Sunita Mohanty

Product Lead, AI for Augmented Reality at Meta

AI Strategy for Leaders

Shailvi Wakhlu

Sr. Director, Head of Data

Data Storytelling

Chris Sanchez

AI Delivery Engineer at Defense Unicorns

Matias Weber

 Senior Machine Learning Engineer at Canals AI

Building RAG Applications

Meredith Alder

Founding Engineer at Bluesky

Advanced SQL

Wes Shields

Principal & Founder of Synthminds

Intro to Data Analytics with ChatGPT

Sidharth Ramachandran

Senior Director, Knowledge Engineering

LLM Apps with Langchain

Python for Machine Learning

Grant Ingersoll

Former CTO at Wikimedia

Dave Anderson

Principal Software Engineer at NetSuite

Search Engineering

Daniel Tunkelang

Machine Learning Consultant

Search with Machine Learning

Search for Product Managers

Elena Dyachkova

 Sr Manager, Data at Bubble.io

Product Analytics

Search Fundamentals

Joshua Francis

Chief Design Officer, Synthminds

AI Image Creation for Everyone

Lorena Vazquez

Associate Director, Business Analytics

SQL Crash Course

Mark Tenenholtz

VP of Data Science, Predelo

Forecasting with Machine Learning

Joseph Rosenbaum

 Chief Learning Officer at Synthminds.AI

AI & ChatGPT for Everyone

Chien Ho

Senior Data Engineer at Hopscotch Primary Care

Intermediate SQL

ChatGPT and Beyond: Advanced Prompt Engineering

Ben Burtenshaw

 Machine Learning Engineer, Hugging Face

David Berenstein

Synthetic Data Generation for Fine-tuning AI Models

Acquire the foundational skills you need to be an effective search engineer in this 6 week track, including how to integrate machine learning and natural language processing techniques into search engines. 

Gain the skills you need to become an effective machine learning engineer in this 3-course track, with applied machine learning, deep learning, deployment of machine learning projects, and more. 

Machine Learning Foundations

Led by leading practitioners, this three course sequence covers applied statistical modeling, practical tools for experimentation, and advanced methods for causal inference. Upon completion of the sequence you'll have the toolkit to grow your career as a data scientist and have an immediate impact across a wide range of industries.

Data Science Academy

Acquire the skills required for a career in data and analytics engineering, including the foundational tools of data modeling, SQL, and dbt used to organize, transform, and retrieve information for modeling and insights. 

Analytics Engineering Academy

Kickstart a career as a data analyst by learning the core skills needed to get started - business foundations and customer analytics, data visualization, and SQL, the most popular language for working with data. 

Data Analytics Academy