Overview

The AI & Machine Learning Fundamentals course introduces participants to the key concepts and practical applications of Artificial Intelligence (AI) and Machine Learning (ML) in modern business and technology environments.

This course provides an accessible introduction to how AI systems work, how machine learning models are trained, and how organisations use AI technologies to automate processes, analyse data, and improve decision-making. Participants will explore common AI applications such as predictive analytics, intelligent automation, recommendation systems, and natural language processing.



Through real-world examples and practical discussions, participants will gain a clear understanding of how AI and machine learning are shaping industries and how these technologies can be applied to support digital transformation initiatives.

Audience Profile

This course is suitable for professionals who want to understand the fundamentals of AI and machine learning and how these technologies are applied in business and technology environments.

Typical participants include:

• Business and technology professionals
• Data analysts and digital transformation teams
• IT professionals and software developers
• Project managers working on AI-related initiatives
• Professionals interested in emerging technologies and innovation

It is also beneficial for organisations exploring AI adoption and data-driven decision making.

Prerequisities

There are no strict prerequisites required to attend this course.



Participants do not need prior experience in artificial intelligence or machine learning. However, basic familiarity with data, digital technologies, or programming concepts may help participants better understand the topics discussed during the training.

At Course Completion

By the end of this course, participants will be able to:



• Understand the fundamental concepts of artificial intelligence and machine learning
• Identify common AI technologies and real-world applications
• Understand how machine learning models are developed and used
• Recognise opportunities to apply AI in business and operational environments
• Understand key trends and developments in AI-driven technologies

Course Outline

• Introduction to artificial intelligence and machine learning
• Types of machine learning models and algorithms
• AI applications in business and industry
• Data preparation and model training concepts
• Ethical considerations and responsible AI
• Future trends in AI and machine learning technologies