This module provides a broad understanding of the Artificial Intelligence (AI) fields and the techniques used to understand how AI is applied to different scenarios and problems.
Syllabus
The Syllabus sets out the specific knowledge and skills that make up this module, as informed by input from subject matter experts from a wide range of computer societies and organisations.
Download the Artificial Intelligence Module Syllabus (PDF)
Download Artificial Intelligence Module Datasheet (PDF)
On completion of this module the candidate will be able to:
- Explain "Artificial Intelligence” and how to identify systems using Artificial Intelligence.
- Differentiate among the major types and methodologies used in Artificial Intelligence.
- Explain how Artificial Intelligence enables capabilities that are beyond conventional technology.
- Characterise the goals of AI and the approaches and progress used in achieving these objectives.
- Describe the contributions and applications of artificial intelligence.
- Describe the key components of the artificial intelligence (AI) fields.
- 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 how Artificial Intelligence is implemented in the real world.
- Define what are rule-based systems, statistical inferences, and fuzzy expert systems.
- Be familiar with some of the basic learning algorithms and techniques.
- Understand how Machine Learning (ML) is implemented in the real world.
- Understand the fundamentals of “deep learning” and how it works.
- Understand the role of Artificial Intelligence to analyse “Big data.”
- Explain the basics of Artificial Intelligence Platforms and how they are used.
- Define the legal issues and be aware of what will happen when a student breaches cyber laws.
What are the benefits of this module?
- Explains the role of Artificial Intelligence (AI) and how to identify systems using AI. This certification provides an overview of the fundamentals of Artificial Intelligence and how to apply them.
- Certifies best practice in Artificial Intelligence
- Developed with input from computer users, subject matter experts, and practising computer professionals from all over the world. This process ensures the relevance and range of module content
Syllabus Overview:
CATEGORY | SKILLSET |
---|---|
Fundamental Concepts of Artificial Intelligence |
|
Expert and Fuzzy Logic Systems |
|
Natural Language Processing (NLP) |
|
Artificial Neural Networks (ANN) |
|
Concepts of Virtual Agents Learning |
|
Deep Learning |
|
Robotic Process Automation |
|
Big Data Analytics |
|
Artificial Intelligence (AI) Platforms |
|