No-Code AI

AI / Machine Learning

Data Science

Data Analytics

Data / Analytics Engineering

Managing People + Organizations

Software Engineering

Search

Sidharth Ramachandran

Building AI Products with OpenAI

Wes Shields

Joseph Rosenbaum

AI & ChatGPT for Everyone

Ben Burtenshaw

David Berenstein

Synthetic Data Generation for Fine-tuning AI Models

LLM Apps with Langchain

Murtaza Ali

AI for Productivity

Jonathan Kvarfordt

AI in Sales

Shailvi Wakhlu

Data Storytelling

Meredith Alder

Advanced SQL

Joshua Francis

AI Image Creation for Everyone

Peter Bittner

AI in Marketing

Sunita Mohanty

AI Strategy for Leaders

Andrew Maas

Julie Kallini (co-instructor)

Applied Machine Learning: Regression and Classification

Sriram Natarajan

Architecting AI Products

Finetuning Open Source LLMs

Salim Virji

Introduction to SRE with Google

Intro to Data Analytics with ChatGPT

Armando Banuelos

Samin Khan

Natural Language Processing

Persuasive Presentations with AI

Elena Dyachkova

Product Analytics

Python for Machine Learning

Sandbox: Building AI Products

Grant Ingersoll

Dave Anderson

Search Engineering

Daniel Tunkelang

Search for Product Managers

Search Fundamentals

Search with Machine Learning

Lorena Vazquez

SQL Crash Course

SRE Fundamentals with Google 

Chris Sanchez

Matias Weber

Building RAG Applications

ChatGPT and Beyond: Advanced Prompt Engineering

Mark Tenenholtz

Forecasting with Machine Learning

Chien Ho

Intermediate SQL

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. 

Machine Learning Foundations

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. 

Data Science Academy

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.

Analytics Engineering 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. 

Data Analytics 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. 

Courses

Take your career or organization to the next level with courses for today's cutting-edge technology, data, and leadership skills.

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