Basic Computer Literacy: Familiarity with using computers and the internet.
Interest in AI & Technology: No prior AI experience required, but curiosity about AI concepts is recommended.
Reading & Analytical Skills: Ability to understand technical explanations and analyze AI applications.
Self-Paced Learning Ability: Willingness to complete lessons independently.

Software & Tools Required

Google colab / Jupyter Notebook  – For running basic AI models (optional).
Python (Recommended) – If students wish to experiment with AI coding.

AI-Powered Search Tools (Copilot, Chatgpt, etc.) – To explore AI trends & research.

Foundations of Artificial Intelligence: Concepts, Applications, and Career Pathways
This beginner-friendly course introduces undergraduate and graduate students to the fundamentals of Artificial Intelligence (AI), covering essential concepts, generative AI applications, future developments, and emerging career opportunities. Designed as a self-paced learning resource, this course ensures accessibility and practical knowledge, equipping students with the foundational AI skills needed to explore its real-world impact. By the end of the course, learners will have a strong grasp of AI principles and their career potential.

Basic Computer Literacy: Familiarity with using computers and the internet.
Interest in AI & Technology: No prior AI experience required, but curiosity about AI concepts is recommended.
Reading & Analytical Skills: Ability to understand technical explanations and analyze AI applications.
Self-Paced Learning Ability: Willingness to complete lessons independently.

Software & Tools Required

Google colab / Jupyter Notebook  – For running basic AI models (optional).
Python (Recommended) – If students wish to experiment with AI coding.

AI-Powered Search Tools (Copilot, Chatgpt, etc.) – To explore AI trends & research.