Training Objectives

By the end of the course, participants will have developed the confidence to comprehend what the rapidly developing field of artificial intelligence is and to recognize it when necessary.

Participants will be able to:

• Understand Key concepts about Artificial Intelligence (AI) technologies.
• Know the fundamentals of formalization of knowledge, applications, and intelligent systems.
• Take a look at knowledge extraction from data and machine learning methods.
• Explain what AI is and how it has changed throughout time.
• Understand how AI can transform the financial sector.
• Identify the many AI methods and systems, and understand what they stand for.
• Recognize the connection between AI and other new technologies.

Training Outline

Principles of AI

• Artificial Intelligence Overview
• AI Expansion
• AI Effect and Consequences
• AI Illustration
• Prominent AI Practices

What is Covered Under AI?

• Narrow, Strong, and Super Intelligence
• Rule-based Systems
• Learning-based Systems
• Rule-based Vs Learning-based AI

Perception AI

• Overview and Structure
• Natural Language Processing (NLP)
• Optical Character Recognition (OCR)

Effects of AI and Robotics on The Workplace

• Adding Automated Processes
• Do robots represent a Threat for Professionals?

Role of AI in Financial Industry

• How can AI Reshape the Financial Industry?
• AI a Tool for Fighting Money Laundering and other Criminal Activities
• AI for Investment
• AI for Asset Management

Pros and Cons of AI for Organisations

• What is the value added of AI?
• How and where AI is Applicable?
• AI Restrictions and Constrains in Organisations

Challenges Faced with the Application of AI

• Ethical Debate
• AI Bias
• Legal Barriers
• Other AI Indications
• The ”Natural Lace Project”

AI and the other Future Hi-Techs

• AI and its use in Blockchain
• AI and The Internet of Things
• AI and the Metaverse

AI and Various Regulations

Machine Learning (ML) & Its Principles and What Differs if from AI

• Machine Learning Overview
• How is ML Designed?
• ML Classification

–  Supervised
–  Unsupervised
–  Reinforced

• Description of Supervised
• Description of Unsupervised ML
• Description of Reinforced ML
• Analytical Prognosis
• Deep Learning
• Neural Networks

Who Should Attend

This course can be beneficial to:

• Beginners in the field of AI
• Professionals that want to enhance their AI knowledge
• Software Developers
• Law Researchers
• Legal Technologists, Legal Programmers, and 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 course will offer a practical delivery approach using presentations, group discussion, case studies and examples to provide participants with a better understanding of various AI systems, and how they have been used in various industries, including financial services.  For instance, how AI-based systems could be used to identify financial fraud transactions and how the investment industry might profit from its use.

CPD Recognition

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

For the CySEC requirements, CPD units attained from this course should not exceed the 50% of the total CPD Units of each individual.

In-house Training

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