Learn about the machines that are learning about you
Understand the underlying technologies of artificial intelligence used in Finance
AI Technologies: Machine Learning Techniques, NLP and Recommendation Engines is the second course of the AI in Finance Specialisation – CFTE’s programme designed for finance professionals to get a comprehensive understanding of how to acquire the right foundations to be part of the AI revolution in Finance.
In the future, robo-advisors will become humanoids that are capable of understanding the human language on an advanced level. This means that you’ll be banking with personal assistants that can answer your queries 24/7, faster, better and cheaper. If you want to understand how this future is being developed, enroll now.
With this course, you'll:
This course is taught by innovators. Fortune500 Leaders. software engineers. AI experts.
Head of the Global Investment Lab & CIO
Global VP for Data, Cognitive & AI
Co-founder & CEO
Chief Executive Officer
Senior Software Engineer
Senior Lecturer Philip Watson, CIO at Citi Private Bank, takes you through the differences between AI, machine learning and deep learning, followed by Frank Chen, Software Engineer at Google Brain, and his insights into the current challenges in AI and what skills are needed in the field.
Senior Lecturer Philip Watson, CIO at Citi Private Bank, takes you through the necessary steps to design an AI system, followed by Martin Markiewicz, CEO at Silent Eight, and his insights into how to choose algorithms for an AI system.
Senior Lecturer Philip Watson, CIO at Citi Private Bank, takes you through how NLP works and how it is applied in the finance industry, followed by Rand Hindi, Founder at Snips, and his take on the rapidly widespread applications of NLP in the near to medium term.
Senior Lecturer Philip Watson, CIO at Citi Private Bank, takes you through the different types of recommendation engines and illustrates how recommendation engines are being integrated into financial services, followed by Jean-Philip Desbiolles, VP at IBM Watson Group, and his exclusive insights into how to assess the success factors of a recommendation engine.
Designed for your learning goals
What our Alumni say about the Specialisation
Why learn at CFTE?
Make your organisation AI-ready
A course designed for the industry, by the industry.
Get a 360 view on AI in Finance
AI in Finance Specialisation
Get a complete training for AI in Finance.
You will be able to implement your AI knowledge and skills in your career and stand out in a competitive job market that needs the exclusive insights that CFTE offers to digitally transform their industry.
Most frequent questions and answers about our 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.
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.
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.
We break our programmes into two types: short courses and specialisations. Our specialisations are a bundle of all of our short courses relating to an overarching topic. Specialisations allow learners to get a comprehensive and well-rounded understanding of a given topic in its many areas. If you have previous experience on this specialisation’s subject or you are interested in learning more about a specific area of it, you can enrol in the individual course that covers your area of interest, instead of taking the whole specialisation. Feel free to chat with us if you’d like some advise on which one would suit you best!
There are no pre-requisites for taking the course. This course is largely non-technical to learn the business aspects of AI. 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
You will have access to the course for 6 months from enrolment. This duration is set to ensure you can pace yourself for the best learning outcome. Though not a common request, you can talk to us if you need an extension of the access after the 6 months are up.
Yes, you will receive a digital certificate upon successful completion of the course. This certificate is digital so it can be shared at any time and embedded into your online professional profile.
We accept all major credit cards and debit cards. You can choose to pay the full amount, or you can opt for a 3-part payment plan option. The 3-part payment option requires one payment upfront, followed by second and third during your course. Chat with us to find out more!