Overview
Build practical, foundational skills in AI, data science, and precision medicine through a structured 8-week workshop combining live lectures, office hours, and self-paced learning modules.
This program is designed to mirror key topics from established AI and precision medicine training programs, while focusing on accessible, guided upskilling rather than advanced specialization.
Participants will progress from program orientation and programming basics to statistics, data visualization, and core AI/ML concepts, with continuous support
Throughout.
Program Format
- Weekly live lectures (1 hour)
- Weekly live office hours (1 hour)
- Guided self-paced modules and milestones
- Structured 8-week learning path + final assessment
- Two certificates awarded upon successful completion
Who This Program Is For
- Students exploring AI, machine learning, or data science
- Learners interested in precision medicine or healthcare applications
- Beginners looking for a structured introduction with support
- Individuals wanting exposure to cloud computing, data workflows, and AI fundamentals
No prior experience required.
What You’ll Learn (Weekly Breakdown)
Week 1 – Orientation & Research Foundations
- Introduction to program and platform
- Research workflows and tools
- Office hour support for onboarding
- Milestone: Research Ethics module
Week 2 – Programming Basics (Python)
- Python fundamentals
- Data structures, functions, notebooks
- Hands-on exercises with support
- Milestone: Intro to Python, R, and Pandas
Week 3 – Statistics Foundations
- Descriptive statistics
- Probability and distributions
- Milestone: Introduction to Cloud Computing
Week 4 – Data Visualization
- Principles of effective visualization
- Visualization tools in Python/R
- Milestone: Omics data foundations (formats, QC, pipelines)
Week 5 – Assessment Week
- Office hour review sessions
- Mid-program evaluation / exam
Week 6 – Introduction to AI/ML
- Core AI/ML concepts
- Features, labels, and evaluation basics
- Applications in precision medicine
- Milestone: AI/ML fundamentals module
Week 7 – Supervised Learning
- Regression vs classification
- Model evaluation and overfitting
- Train/validation/test concepts
- Milestone: Supervised & unsupervised learning
Week 8 – Unsupervised Learning
- Clustering and dimensionality reduction
- Pattern discovery and interpretation
- Limitations of unsupervised approaches
- Milestone: Neural networks, deep learning, and LLM introductions
Final Phase
- AI/ML review session (office hours)
- Final exam (completed after Week 8)
Key Learning Areas
- Programming (Python, data tools)
- Statistics and data analysis
- Cloud computing fundamentals
- Data visualization
- AI/ML foundations
- Supervised & unsupervised learning
- Introductory deep learning and LLM concepts
Outcome
By the end of the workshop, participants will have:
- A structured understanding of AI/ML concepts in precision medicine
- Hands-on exposure to data workflows and tools
- Experience navigating real-world learning modules and milestones
🎓 Students who complete the program will receive two certificates
