GEMS Learning
INDIVIDUALIZED AGRI-FOOD DATA SCIENCE MODULES AND PATHWAYS
GEMS Learning Features
STATE-OF-THE-ART DATA SCIENCE TOOLS
Learn about the latest while refreshing the fundamentals.
Our modules emphasize the state of the art in machine learning and artificial intelligence while still providing fundamental skills in computing, statistics, and agriculture. Read More
This way students are able to hit the ground running in their day-to-day work without being locked in to any specific technology stack.
CUSTOMIZED MODULES FOR THE AGRI-FOOD SECTOR
Enrich your understanding of agriculture and food industry data.
The food and agriculture sector works across many data types and standards that are often unfamiliar to computer scientists and information technology professionals. Read More
By tailoring all of our use cases to the agri-food sector and using real-life data from projects and problems experienced by GEMS instructors, we provide examples from across the genetics, environment, management, and socioeconomic spaces so that students aren’t siloed in their skills. This ensures that students learn both the general and specific skills needed to be successful in applying what they learn to real-world problems.
LEARNING PATHWAYS DESIGNED WITH INDUSTRY PARTNERS
Get real-world experience with real-world data.
Our goal is to train learners for impact. To do this, we work with our industry partners to stitch together learning pathways that link individual modules offered in GEMS Learning. Read More
This provides employers with a guarantee that students coming out of our programs are learning the skills they need to succeed while giving students confidence that their hard work will pay off in helping them land a position moving the needle forward in practice with data.
