AI in Investment Management: Applications, Risks, and Responsible Practice
This course can help professionals locate information, analyse large datasets, generate research, identify patterns, construct portfolios, monitor risk and communicate with clients.

65.00

Artificial intelligence is becoming part of the infrastructure of investment management. It can help professionals locate information, analyse large datasets, generate research, identify patterns, construct portfolios, monitor risk and communicate with clients. Yet AI does not remove the need for professional judgement. It changes where judgement must be exercised and what evidence is needed before an output can be trusted. This course introduces AI from the perspective of the investment professional. It focuses on practical applications, limitations, professional responsibilities and responsible oversight. It is not a coding course and does not teach learners how to build predictive models. Instead, it equips them to ask better questions when selecting, using, reviewing or supervising AI-enabled tools.

Learning Objectives

This lesson will help you build a strong foundation for understanding how AI is used in investment management. You will learn to identify where AI adds value, recognize when greater scrutiny is needed, and become familiar with essential concepts that will be explored throughout the course. In particular, you will be able to:
  • Define AI in Investment Management
  • Distinguish Low- and High-Impact Uses
  • Appreciate the Importance of Oversight
  • Understand Key Terminology

 

Modules 
  • Welcome and Diagnostic
  • Why AI in Investment Management Matters
  • Module 1 – AI Across the Investment Management Lifecycle
  • Module 2 – Data, Models, and Investment Risk
  • Module 3 – Responsible and Professional Use of AI
  • Module 4 – Testing, Oversight, and Practical Application
  • Integrated Case Study
  • Final Assessment

 

Training Duration

This course may take up to 2 hours to complete. However, actual study time may vary, as each learner can progress through the course at their own pace.

 

Target Audience

This course is designed for investment professionals who wish to develop a practical understanding of artificial intelligence and its applications within investment management. It is particularly relevant to professionals involved in investment research, portfolio management, risk management, investment operations, client-facing activities, and the oversight or implementation of AI-enabled investment tools. No prior programming or technical AI expertise is required.

 

Training Method

The course is delivered fully online using a self-paced approach. Learning units combine text, multimedia content, practical examples, and an integrated case study. Learners may start, stop, and resume their training at any time.
At the end of the course, participants complete a final assessment to evaluate their understanding of the key concepts covered. Upon successful completion, participants receive a Certificate of Completion.

 

Registration and Access

To register to this course, click on the ”Add To Cart” button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalising your payment.

Access to the course is valid for 180 days.

If you wish to receive an invoice instead of paying online, please Contact us here. Talk to us for our special Corporate Group rates.

This programme has been developed by the European Institute of Management & finance (EIMF), a leading and recognised training institution.
The syllabus is verified by external subject matter experts and may be accredited by financial regulators, and general financial training accreditation bodies, such as CISI, ICA, ACAMS, and CySEC for 2 CPD Units.
Eligibility criteria and CPD Units are verified directly by your association or other bodies in which you hold membership.

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