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AI in Finance

Edge-of-your-seat learning. Personalized and designed to keep you engaged.

Intended Learning Outcomes

Artificial Intelligence (AI) is a main driver of the Financial industry’s digital transformation. Whether you are looking to immediately implement your AI knowledge in your career or simply want to stand out in a competitive job market, this program is for you

A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting.

In this course, you’ll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you’ll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you’ll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you’ll learn how to find and test a few key modern machine learning models to pick up the best performing one.

In the last few years, AI technology has improved in leaps and bounds and simple artificial intelligence systems are already in use in a wide range of everyday services. But AI courses tend to approach the issue from either a heavily technical point of view or from a strategy standpoint. This course is designed to help business owners of AI projects in the finance sector, and helps place artificial intelligence in a business context.

From AI theory to machine learning modelling, this course provides a powerful introduction to and overview of the use of AI in business and practice in a real-world context. The course goes beyond the hype and takes a sober look at the power and limitations of AI, and how it can be effectively deployed in the finance sector. Centered heavily in a business owner perspective, this course will empower you to hold your ground in conversations around AI and machine learning as well as formulate your own informed opinions.

timeline

5 Hours

price

$20 USD/hr

Key Learning Outcomes:

On completion of this course, leaders should understand and be able to do the following:
01

Chatbots (AI that can interact in voice and text with humans)Internet of Things (AI that enables devices to communicate directly without human intervention)

02

Machine Vision (AI that can interpret images, handwriting, and scanned documents)Speech Recognition (AI that can comprehend human speech, identify speakers and tones)

03

Robotic Process Automation + Intelligence (AI that automates business processes)Smart Analytics (AI that combines machine learning, business rules, expert knowledge and statistics)

04

Natural Language Processing (AI that understands human language)

05

Machine Learning (AI that can analyze massive data and identifies patterns)

Who Should Attend

Professionals who want to gain a solid understanding of the business opportunities surrounding the use of artificial intelligence in business.

Professionals heading up AI projects in private, public or development sector contexts will find this course extremely useful, as will any organisations, government departments and businesses looking to integrate AI into their operations.

Professionals and Students in Business

Students in Finance

Students in Accounting

Students in Auditing

Teaching and Learning

The course relies primarily on case analyses and a variety of other pedagogies which may or may not include outside speakers, videos, simulations, and a final in class presentation of key learnings.

Supplemental Learning Outcomes:

On completion of this course, leaders should understand and be able to do the following:
01

Navigate and lead AI transformation projects using best practices and impact frameworks

02

Articulate the key terminologies needed to understand the main concepts of AI development

03

Implement AI solutions in your business to overcome current challenges – from business processes subject to Robotic Process Automations to business applications for Machine Learning

04

Pitch and share concrete use cases of AI execution in insurance, fraud detection, customer service and more

05

Enhance your skillsets and seek employment opportunities in finance and technology with the most up-to-date and insightful industry knowledge on AI

Digital Certificate

Participants who successfully complete the program will be awarded with a ‘Certificate of Completion’ from Finteachable.com.

Register Now

20 USD/per hour

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