About the Course

Course Description

This course introduces the fundamental concepts of Artificial intelligence (AI) and its real-world applications across various industries. Students will explore core AI techniques and their applications including machine learning, deep learning, natural language processing, and computer vision.

Course Prerequisites:

• Basic Mathematics Knowledge

• Foundational Computing Skills

• General Awareness of Technology 

Course Objectives :

•  Understand the fundamentals and types of Artificial Intelligence.

•  Learn basic machine learning techniques used in AI systems.

•  Explore AI agents, search methods, and knowledge representation.

• Apply prompt engineering techniques to interact with generative AI tools.

• Identify real-world applications, trends, and ethical issues in Artificial Intelligence. 

• Introduce the concepts of Expert Systems and machine learning 

Course Outcomes:

• Understanding the concepts and types of artificial intelligence.

• Illustrate basic machine learning methods for regression, classification and clustering.

• Identify real-world applications across different disciplines.

• Utilize prompt engineering techniques to interact with generative AI tools.

• Outline recent trends in artificial intelligence and machine learning.