Ai Club Plain
Month 1:
Session 1: What is AI
To introduce students to the concepts and applications of AI without overwhelming
them with technical details. [1H -1.5 H]
Session 2: Hands-On AI Exploration
Provide explain about how ai work and its types
Provide interactive, hands-on experiences with AI tools and platforms that don't require
programming knowledge.
Introduce students to user-friendly AI tools (e.g., Google Teachable Machine, AI
Dungeon) where they can interact with AI without coding.
Encourage students to think about how AI can intersect with their field of study,
fostering cross-disciplinary collaboration.
Session 3: AI in Healthcare
Overview of how AI is revolutionizing the healthcare industry, with real-world examples
of AI applications in medicine.
Explore how AI algorithms are being used to improve the accuracy and efficiency of
medical diagnoses, such as detecting diseases through medical imaging
Discuss how AI is enabling personalized medicine by analyzing patient data to
recommend individualized treatment plans
Demonstrate how AI can predict potential health issues before they occur
Case Study: Using AI to Detect Early Signs of Diabetes
Month 2:
How to Start Learning AI: A Beginner’s Roadmap
Content: Provide a clear roadmap for beginners on how to start learning AI, including the
essential skills needed, resources, and study paths.
Topics Covered:
•
Understanding the basics of AI and machine learning.
•
The importance of math and statistics in AI (e.g., linear algebra, probability).
•
The role of programming in AI, with an emphasis on Python.
•
Introduction to key AI concepts (e.g., supervised vs. unsupervised learning).
•
Recommended online courses, books, and communities for beginners.
Introduction to Python for AI [3 sessions]