The only programme you need to discover AI in Finance

New technological advancements are rapidly transforming the global financial industry with Artificial Intelligence (AI) spearheading the change. 


A.I is the future and the future is now. 

This Specialisation will give you a holistic view of the impact of Artificial Intelligence in Finance and give you the confidence and skills to grasp where opportunities lie and how to capture them.

Upon completion you will

  • Have a good understanding of the main concepts behind Artificial Intelligence, including machine learning, deep learning, natural language processing, machine vision, etc.

  • Appreciate the developments of AI, especially in the context of financial services, and recognise its potential and limitations

  • Learn to identify potential use cases of AI in different sectors of finance

  • Be able to understand the opportunities and challenges of implementing AI

  • Understand future applications of AI by applying conceptual frameworks

  • Think of ways to apply AI to the financial industry

Instructor(s)

Instructor Bio:

Dr. Stephan Murer, owner of Murer Consulting GmbH, is an independent technology consultant and board member. Until 2017 he was Group Chief Technology officer at UBS AG, responsible for architecture and innovation of UBS’s information systems. Before that, Stephan Murer performed the same role over many years at Credit Suisse. Stephan is a computer scientist by origin. He holds a diploma and a Ph.D. in Computer Science from ETH in Zurich and an Executive MBA from the University of St. Gall. After an academic career at ETH and University of California in Berkeley, he joined Credit Suisse in 1994. In parallel to his corporate functions, Stephan has remained active in the academic world by teaching at various universities including at the Computer Science department of Oxford University, and by publishing regularly. Furthermore, Stephan Murer is engaged with startup firms and private equity funding.

Stephan Murer

Instructor(s)

Instructor Bio:

In 2016, I launched The Disruptive Group - after having built new businesses within large investment banks for more than a decade. Previously, I was co-founder and CEO of a Tech company in New York. I know both Finance and Technology, and the synergies between the two disciplines. My passion is in building and growing businesses - especially in changing environments. As CEO of The Disruptive Group, I am developing a firm that advises CEOs and board members of large organizations, and builds innovative businesses with a strong leverage on technology and finance. As Managing Director at Citi, I grew a business that helped Europe's largest insurance companies, the major pension funds and the international banks to adapt to an increasingly complex environment. Before banking, I raised $15m as CEO of a Tech company, and developed it into a 50-strong company with offices in New York and Paris. An engineer by background, an entrepreneur by nature, and a "big picture" person, I am interested in the tech revolution that is transforming finance - what I call Disruptive Finance. Put simply, we are facing a Napster moment : technology is set to revolutionise finance, which in turn will massively impact the global economy, business and society.

Huy Nguyen Trieu

Course curriculum

  • 01

    Introduction

    • Welcome to AI in Finance

    • About the course

    • Format of the course and Tips

    • Certificate of Completion

    • Preliminary Survey

    • Intellectual Property

    • Global Community

    • Meet your fellow participants!

  • 02

    Chapter #1 An Industry Overview of AI

  • 03

    Chapter #2 AI Technologies

    • Chapter Overview

    • 2.1 AI, MACHINE LEARNING AND DEEP LEARNING

    • 2.1 Video lecture

    • 2.1 Readings

    • 2.1 Interview with Frank Chen

    • 2.1 Quiz

    • 2.2 BUILDING AI SYSTEMS

    • 2.2 Video lecture

    • 2.2 Readings

    • 2.2 Interview with Martin Markiewicz

    • 2.2 Quiz

    • 2.3 NATURAL LANGUAGE PROCESSING

    • 2.3 Video lecture

    • 2.3 Readings

    • 2.3 Interview with Dr Rand Hindi

    • 2.3 Quiz

    • 2.4 RECOMMENDATION ENGINE

    • 2.4 Video lecture

    • 2.4 Readings

    • 2.4 Interview with Jean-Philippe Desbiolles

    • 2.4 Quiz

  • 04

    Chapter #3 Implementing AI in an Enterprise

    • Chapter Overview

    • 3.1 INTEGRATING AI AT A STRATEGIC LEVEL

    • 3.1 Video lecture

    • 3.1 Readings

    • 3.1 Interview with Siew Kai Choy

    • 3.1 Quiz

    • 3.2 INFRASTRUCTURE FOR AI

    • 3.2 Video lecture

    • 3.2 Readings

    • 3.2 Interview with Dr Gurjeet Singh

    • 3.2 Quiz

    • 3.3 THE ROLE OF PEOPLE

    • 3.3 Video lecture

    • 3.3 Readings

    • 3.3 Interview with Shameek Kundu

    • 3.3 Quiz

    • 3.4 ETHICS AND RISKS

    • 3.4 Video lecture

    • 3.4 Readings

    • 3.4 Interview with Dr David Hardoon

    • 3.4 Quiz

  • 05

    Chapter #4 Applications of AI in Finance

    • Chapter Overview

    • 4.1 WEALTH AND ASSET MANAGEMENT

    • 4.1 Video lecture

    • 4.1 Readings

    • 4.1 Interview with Dr David Andre

    • 4.1 Quiz

    • 4.2 INSURANCE

    • 4.2 Video lecture

    • 4.2 Readings

    • 4.2 Interview with Thibault Antoine

    • 4.2 Quiz

    • 4.3 CUSTOMER SERVICES

    • 4.3 Video lecture

    • 4.3 Readings

    • 4.3 Interview with Dr Jason Mars

    • 4.3 Quiz

    • 4.4 ROBOTIC PROCESS AUTOMATION

    • 4.4 Video lecture

    • 4.4 Readings

    • 4.4 Interview with Matthew Davey

    • 4.4 Quiz

    • 4.5 CREDIT SCORING

    • 4.5 Video lecture

    • 4.5 Readings

    • 4.5 Interview with Dr Shonali Krishnaswamy

    • 4.5 Quiz

    • 4.6 COMPLIANCE AND FRAUD DETECTION

    • 4.6 Video lecture

    • 4.6 Readings

    • 4.6 Interview with Erkin Adylov

    • 4.6 Quiz

  • 06

    Congratulations

    • Congratulations for completing the course

    • Feedback Survey

AI in Finance

  • Demystify the buzz

    Foundational understanding of Artificial Intelligence, and how it works, from the core concepts to the main technologies

  • Get a 360 view of AI in Finance

    Discover how AI is being implemented in the finance industry, with key considerations around the infrastructure, but also the role of people and ethics all around the world

  • Grow your expertise

    You will explore specific applications of AI in Finance, from asset management to insurance, and from customer service to compliance.

Testimonials

“I received plenty of information on what is happening in fintech today. One thing that I could highlight is that you get to learn from the true experts on that field. ”

Community Builder at CaixaBank

Ayshah J Butt

“CFTE’s course, I found to be more engaging than the rest of the online courses that I’ve done because of the format of very short online videos that gives you the ability to revisit at different times.”

International Proposition Risk Director at Santander

David Vinagre

The AI in Finance Specialisation

  • 12 hours of state of the art content

  • 100% online & Self paced

  • 18 Experts guiding you

  • A shareable certificate

60,000+ professionals use CFTE to grow their knowledge.

FAQ

  • How does the AI in Finance Specialisation compare with other courses in the market?

    Although there are some very good courses on AI you can find online, The AI in Finance Specialisation, developed by CFTE and Ngee Ann Polytechnic, is the very first online course that walk you through you foundations of Artificial Intelligence, its applications in the finance industry, as well as the opportunities and risks of AI in the sector. We believe The AI in Finance Specialisation is unique because: We have designed a reference course with the industry for the industry. Participants will be given a comprehensive overview on the most relevant trends through a very structured curriculum. Participants will learn from industry leaders who work at the largest financial institutions, fast growing startups, investors and regulators. It gives an overview of the potential and challenges of AI in Finance, from insights of entrepreneurs who are developing AI to leaders implementing AI in financial institutions.

  • Who should take the AI in Finance Specialisation

    This course is suited for a wide range of professionals who are keen to master the key elements of AI and want to understand its applications in finance. We welcome finance professionals, technologists, entrepreneurs, consultants, lawyers and all the people who are ready to take a deep dive into the future of finance.

  • What are the prerequisites for this course?

    There are no pre-requisites for taking the course. Participants can get the most out of the course if they have a general knowledge of Fintech and innovation trends in finance. This could be achieved through a structured course such as CFTE’s Fintech Foundation course, Oxford’s Fintech course, MIT’s Fintech course or similar courses

  • What do I get with the free trial?

    In the free trial you will receive access to one free module in the course. You will experience course content, structure, the level of senior academics, experts, readings and a quiz to test your knowledge.

  • What will I learn in the course?

    The course has been designed to give a solid foundational knowledge about Artificial Intelligence, and how it applies to different sectors of finance. On completion of the course, participants will be expected to: Have a good understanding of the main concepts behind Artificial Intelligence, including machine learning, deep learning, natural language processing, machine vision, etc. Appreciate the developments of AI, especially in the context of financial services, and recognise its potential and limitations Learn to identify potential use cases of AI in different sectors of finance Be able to understand the opportunities and challenges of implementing AI Understand future applications of AI by applying conceptual frameworks Think of ways to apply AI to the financial industry. You will learn a lot in a structured way, and at your own pace.

  • How much time do I need to complete the Specialisation?

    Completing the specialisation takes around 12 hours. The course is structured in 4 courses of 4 modules, which each module lasting 30 to 45 minutes. Participants can take the course at their own pace – either in one go or over a period of several weeks or months. The course is available for 6 months from the start date.

  • How can I pay for the course?

    We accept all major credit cards and debit cards. Installment options are available as well.