Fundamentals of AI/ML in Precision Medicine

Spend as short as 3 weeks to get certified on Fundamentals of AI/ML in Precision Medicine by the Department of Genetics at Stanford University. In this self-paced online program, you will have a bird’s-eye view of AI/ML applications in medicine, and develop a clear vision of where your interest lies for further studying in the landscape.

Join students from all academic backgrounds to learn how AI/ML is advancing biomedical research and diagnosis. All the learning materials are hosted on Stanford Data Ocean, a comprehensive platform for Precision Medicine education. Learn more about our signature Precision Medicine Fundamentals certificate program.

Who is this program for?

This program welcomes individuals of all backgrounds. No prerequisites are required.

Whether you're a high-school student, undergraduate, MD, or PhD candidate, or an adult learner seeking to expand your knowledge, this course provides a solid introduction to AI/ML in the healthcare setting.

• If you have enrolled, or plan to also enroll in our signature Precision Medicine Fundamentals certificate program, please contact our team [email protected] to receive a discount code that gives you a 30% discount in the AI/ML certificate program’s tuition.
• We offer scholarships to families with incomes making less than $70,000 USD annually. Apply for the scholarship now, and our team will send the next steps within 3 business days.

✍️ Hands on practice in Jupyter notebook:

You will learn via real-world examples, and interact with public health datasets with Jupyter Notebooks at your own pace. Each module can be completed within one hour, so you could make small progress that fits into your busy schedule.

Most students who join the weekly study group can finish the certificate in 3 weeks.

💬 Get support from AI Tutor:

You will have access to our AI Tutor to get your questions resolved on demand. The AI Tutor is designed to answer questions specifically in Precision medicine. Our students use it to write code and troubleshoot code, and find it effectively supports their learning needs.

Each week, you have the option to join your peers and instructors on Zoom to study together. Most students use this dedicated time to ask instructors questions, or create momentum to finish the certificate.

The certificate is composed of three milestones. All learning materials are developed by lecturers and researchers at Stanford University.

Research Ethics:

• Get Started with Research Ethics

Bioinformatics

• Introduction to Genomics
• Introduction to Epigenetics
• Introduction to Transcriptomics
• Introduction to Proteomics
• Introduction to Clinical Data
• Introduction to Wearable Data
• Introduction to Imaging Data

AI/ML Fundamentals

• Introduction to AI/ML
• Introduction to Supervised Learning
• Introduction to Unsupervised Learning
• Introduction to Neural Networks
• Introduction to Deep Learning
• Introduction to Large Language Models

Host or Publisher Stanford University School of Medicine