Artificial Intelligence: In-Depth understanding

Course details

This module explores the evolution of Artificial Intelligence (AI) and its technologies, provides a broad understanding of Artificial Intelligence fields, and explains why it is important to have an Artificial Intelligence strategy and how Artificial Intelligence can be applied to different scenarios and problems.
On completion of this module the candidate will be able to:

• Explain "artificial intelligence" and how to identify systems using artificial intelligence.
• Understand and differentiate among the major types and methodologies used in artificial intelligence.  
• Explain how artificial intelligence enables capabilities that are beyond conventional technology.
• Describe the contributions and applications of artificial intelligence.
• Explain the role of artificial intelligence agents and how they relate to the environment, including the ways to evaluate how agents act by establishing goals.
• Understand the fundamentals of knowledge representation, reasoning techniques, and know how to build simple knowledge-based systems.
• Understand the basics of some of the more advanced topics of AI such as machine learning, deep learning, agents and robotics.
• Understand the basic concepts and basic approaches to syntax and semantics in natural language processing.
• Define what are rule-based systems and fuzzy expert systems.
• Understand the fundamental issues of machine learning approaches, and challenges of machine learning and model complexity
• Be familiar with some of the basic learning techniques.
• Understand the basic of a fundamental knowledge of deep learning methodology.
• Discuss the history, concepts and key components of robots.
• Understand the role of artificial intelligence to analyse "big data".
• Explain the basics of artificial intelligence platforms and how they are used.

Updated on 10 April, 2023