Overview

Earn your certificate from the Department of Genetics at Stanford University. This self-paced online program introduces how artificial intelligence, machine learning, and multi-omics data are reshaping diabetes prevention, diagnosis, and personalized care. Most learners complete the certification in just a few weeks.

You’ll explore real-world datasets from genomics to wearables to imaging while gaining hands-on experience with Jupyter notebooks that can be applied directly to diabetes research.

Each week, you can also join live lectures and office hours with the Stanford instructional team to deepen your understanding and stay on track.

Who is this program for?

Open to learners of all backgrounds—students, researchers, clinicians, data scientists, and adult learners. No prerequisites required.

Learn with the cohort

• Weekly live lectures & office hours with Stanford instructors
• Hands-on practice with diabetes-relevant datasets in Jupyter notebooks
• AI Tutor support for coding help and concept clarification
• Short modules (≈1 hour each) designed for flexible progress

Program Curriculum

All modules are developed by Stanford University researchers, with direct application to diabetes biology and precision care.

Research Ethics

1. Get Started with Research Ethics

Bioinformatics

1. Introduction to Genomics
2. Introduction to Transcriptomics
3. Introduction to Proteomics
4. Introduction to Metabolomics
5. Introduction to Clinical Data
6. Introduction to AI/ML
7. Introduction to Imaging
8. Introduction to Wearable Data

Diabetes Fundamentals

1. Introduction to Diabetes
2. Genomics and Transcriptomics in Diabetes
3. Proteomics, Metabolomics, Microbiome in Diabetes
4. Wearable Data and Clinical Data in Diabetes
5. Imaging Data in Diabetes Care

If you are also enrolled in more than one of our programs, email sdo-support@stanford.edu to receive a 30% tuition discount:

1st Program: full price

2nd Program: 30% discount

3rd Program: 30% discount