Large Language Models for Coders

Designed with you in Mind

Data scientists, often part of large engineering teams, are tasked with creating performant algorithms to drive business improvements. While conventional training focuses on clean datasets and algorithm testing, a gap exists in the knowledge required for the practical integration of machine learning into engineering stacks. This certificate aims to bridge that gap, covering a variety of topics:

• Genesis of Large Language Models
• In-Depth Analysis of Language Modeling
• Operational Framework for Large Language Models
• Data Engineering Strategies for Large Language Models
• Training Large Language Models
• Deployment of Large Language Models in Production
• Practical Applications of Large Language Models

Participants are expected to be familiar with basic statistics and Python.

Meet Your Instructor

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Victor Palacios serves as the Director of Data Science and Artificial Intelligence Partnerships at the University of San Francisco, where he develops strategic industry collaborations and supports applied AI innovation across the Data Institute. He holds three graduate degrees: an MS in Information Science from Nagoya University in Japan, an MS in Data Science from USF, and he is currently completing a third master's in Computer Science.

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