Specialization Overview
Artificial Intelligence is the study and application of systems that can perform tasks normally associated with human intelligence. It provides the foundation for understanding how modern AI tools, models, automation systems and intelligent agents work. In this module, students learn the basic concepts behind AI, its major types, practical applications and the role of data, knowledge and decision-making. The module also explains how AI is being used in business and education, while introducing important concerns such as bias, privacy, transparency and accountability. Students explore intelligent agents and learn how an AI system can observe information, represent knowledge, evaluate options and take actions to solve a problem. The objective is to build conceptual clarity before moving toward Generative AI, automation and AI agents.
What You Will Master in This Track
Foundational Principles
Master the underlying algorithms, architectures, and theoretical intuition powering modern artificial intelligence.
Workflow & Agent Modeling
Understand how autonomous agents perceive data, represent domain knowledge, and execute goal-driven decisions.
Practical Real-World Use
Bridge concept with practice through real business case studies, hands-on exercises, and domain workflows.
Responsible & Ethical AI
Mitigate model bias, ensure transparency, and deploy accountable AI solutions that adhere to industry governance.
Course Curriculum & Modules (12)
Select any module below to inspect in-depth syllabus notes, practical focus, and review questions.