Matei Zaharia

Matei Zaharia is a Cofounder and Chief Technologist at Databricks as well as an Assistant Professor of Computer Science at Stanford. He started the Apache Spark project during his PhD at UC Berkeley in 2009, and has worked broadly on other widely used data and machine learning software, including MLflow, Delta Lake and Apache Mesos. He works on a wide variety of projects in data management and machine learning at Databricks and Stanford. Matei’s research was recognized through the 2014 ACM Doctoral Dissertation Award, an NSF CAREER Award, and the US Presidential Early Career Award for Scientists and Engineers (PECASE).

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Large Language Models: Foundation Models from the Ground Up (edX)

This course dives into the details of foundation models in natural language processing (NLP). You will learn the innovations that led to the proliferation of transformer-based models, including BERT, GPT, and T5, and the key breakthroughs that led to applications such as ChatGPT.

Large Language Models: Application through Production (edX)

Self Paced
Large Language Models: Application through Production (edX)
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This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for production!