Training Objectives

By the end of the programme, participants will: 

• Comprehend what is Artificial Intelligence (AI) and its evolution throughout the years
• Be able to describe what falls under the concept of AI and apply their knowledge within the real world
• Have the ability to explain the different approaches and systems of AI and what they represent
• Understand the concept of Machine Learning (ML) and its application
• Be able to explain the terms Supervised, Unsupervised, Reinforced learning and predictive analytics
• Demonstrate the ability to explain the idea of perception tools and how they work
• Understand the upcoming advancement of automation of professions
• Recognise the link between AI and other emerging technologies
• Comprehend how AI can transform the Financial Industry

Be able to engage in discussions surrounding the ethical concerns, general implications of AI and challenges when regulating AI.

Training Outline

Foundations

• Introduction to Artificial Intelligence
• Evolution of AI
• Impact of AI
• AI examples
• Popular applications of AI

What falls under the scope of AI

• Types of AI (Narrow, Strong, Super Intelligence)
• Approaches to AI (Rule-based & Learning-based)
• Rule-based Systems
• Learning-based Systems

Introducing Machine Learning

• Defining ML
• How does ML work?
• Types of ML (Supervised v Unsupervised v Reinforced)
• Supervised ML explained
• Unsupervised ML explained
• Reinforced ML explained
• Predictive Analytics
• Deep Learning
• Neural Networks

Perception AI

• What is it and how does it work?
• Natural language Processing (NLP)
• Optical Character Recognition (OCR)

Automation of professions

• Introducing automation
• Are robots taking over?

AI for Businesses

• Why is AI important?
• How and where can businesses use AI?
• Limitations of the use of AI in businesses

AI and other Emerging Technologies

• AI and Blockchain
• AI and The Internet of Things
• AI and Metaverse

AI and the Financial Industry

• How can AI transform the Financial Industry?
• AI and Asset Management
• AI for Investment
• AI for Anti-money Laundering and other financial crimes

Challenges in AI

• Ethical considerations
• AI Bias
• Legal Challenges
• Other AI Implications
• The “Neural Lace Project”

Who Should Attend

This course is designed for individuals with all kinds of backgrounds from students to professionals, who are eager to learn about the technology of AI.

This course can be beneficial to:

• Students
• University students
• University graduates looking to gain more knowledge
• Beginners in the field of AI
• Professionals that want to enhance their AI knowledge
• Software Developers
• Law Researchers
• Legal Technologists
• Legal Programmers
• Legal Analysts
• Lawyers
• Project Managers and Associate Project Managers
• Digital Transformation Heads, Officers and Team Members
• Innovation Leaders and members of Innovations labs
• Technology Strategy Leaders
• Entrepreneurs and freelancers
• Employees of companies
• Digital transformations professionals
• Governmental Agencies

Training Style

The programme is designed to deliver theoretical knowledge mainly via live online seminars supported by power-point presentations.  This course aims to provide participants with the clear understanding of Artificial Intelligence and what may fall within its scope. Participants will also benefit from a Q&A session at the end of the programme.

CPD Recognition

This programme may be approved for up to 7 CPD units in Financial Regulation and AML. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.

In-house Training

For groups within the same organisation, this course may be customized to meet any specific needs and delivered in-house.