Course Schedule

14-week comprehensive curriculum with lectures, labs, and projects

Schedule Information

Duration

14 Weeks

Class Time

Fridays & Saturdays
9:00 AM - 11:00 AM

Format

Hybrid
(In-person + Online)

Lab Sessions

Mondays
10:00 AM - 12:00 PM

Week 1
Date: TBD

Foundations of AI in Public Health

Introduction to artificial intelligence, machine learning basics, and their applications in public health. Overview of current challenges and opportunities.

Week 2
Date: TBD

Fundamentals of Python

Build a strong foundation in Python programming, covering variables, data types, control flow, functions, and basic data structures.

Week 3
Date: TBD

Scientific Computing with NumPy

Master efficient numerical computing using Python’s NumPy library for array operations, linear algebra, and scientific data manipulation.

Week 4
Date: TBD

Data Wrangling with Pandas

Learn to clean, transform, and manipulate structured data using Python’s powerful pandas library for health data analysis.

Week 5
Date: TBD

Data Visualization with Matplotlib and Seaborn

Create clear, informative, and publication-ready visualizations using Python libraries matplotlib and seaborn for health and biomedical data.

Week 6
Date: TBD

Medical Image Processing with Python

Learn to process and analyze medical images using Python libraries like OpenCV, scikit-image, PIL, and NumPy for deep learning and diagnostic applications.

Week 7
Date: TBD

Applied Machine Learning in Public Health

Apply machine learning methods using Python libraries like scikit-learn and pycaret to solve real-world public health problems through data-driven insights.

Week 8
Date: TBD

Applied Deep Learning in Public Health

Learn to develop and apply deep learning models using Python libraries like TensorFlow, Keras, and PyTorch to address complex public health challenges and medical data analysis.

Week 9
Date: TBD

AI Applications in Disease Surveillance

Explore how AI techniques and tools such as machine learning, deep learning, and NLP are used to detect, monitor, and predict disease outbreaks using diverse health data sources.

Week 10
Date: TBD

AI Applications in Medical Imaging

Learn to develop and apply AI models using tools like CNNs, TensorFlow, Keras, and PyTorch for image classification, segmentation, and diagnosis in medical imaging.

Week 11
Date: TBD

AI Applications in Multi-omics and Personalized Medicine

Explore how AI techniques are used to integrate and analyze multi-omics data (genomics, transcriptomics, proteomics) for insights into disease mechanisms and personalized treatment strategies.

Week 12
Date: TBD

AI Applications in Drug Discovery and Development

Learn how AI is transforming the process of drug discovery and development by accelerating compound screening, target identification, and therapeutic optimization.

Week 13
Date: TBD

Large Language Models and Generative AI for Health

Learn how large language models (LLMs) and generative AI tools are transforming healthcare through applications in medical documentation, decision support, research synthesis, and patient engagement.

Week 14
Date: TBD

Ethics and Governance of Artificial Intelligence for Health

Understand the ethical, legal, and regulatory frameworks guiding the responsible development and deployment of AI technologies in healthcare and public health.

Important Dates

Registration Deadline

July 15, 2025

Mid-term Break

No break

Final Presentations

Announce soon!