Course Overview
CPD (CPA) – Pending approval
Artificial Intelligence (AI) and Machine Learning (ML) are reshaping accounting and finance by automating complex tasks and enhancing data insights. This course explores their applications in financial analysis, reporting, and forecasting.
The first day of the course covers the fundamental AL and ML concepts specific to accounting and finance, focusing on their relevance and potential applications, as well as their benefits and challenges. Learners will be introduced to Python and key machine learning algorithms, including regression, classification, clustering, and text analysis.
The second day focuses on prompt engineering, where learners will be trained to design and refine specific text prompts to guide Large Language Models (LLMs) such as Dify.AI, POA, ChatGPT and Google Bard. This expertise will allow accountants to effectively use AI tools for financial analysis, forecasting and reporting. Learners will gain hands-on experience in Python, generating code through prompt engineering to implement effective machine learning models in their accounting work.
In this 2-day course, learners will acquire practical skills in prompt engineering and machine learning algorithms for accounting applications. They will learn to integrate these concepts into their AI and ML projects, optimising model performance to achieve more accurate and relevant outcomes in their financial tasks.
Programme Partner
This course is supported and endorsed by CPA Australia.
Who Should Attend
- Professionals in the fields of accounting, audit and finance
Prerequisites
- Basic accounting or finance knowledge
- No prior coding knowledge and experience is required
What You Will Learn
- Fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML) and their applications in accounting and finance
- Benefits and challenges of implementing AI and ML technologies in financial contexts
- Hands-on experience with Python programming for data manipulation and visualisation
- Practical application of Python in financial scenarios, including stock price predictions and profitability analysis
- Introduction to prompt engineering techniques to guide Generative AI (GenAI) outputs effectively
- Application of AI and ML techniques for cash flow analysis, forecasting, and internal control evaluations
Teaching Team
Chu Mui Kim
Associate Professor, Business, Communication and Design, Singapore Institute of Technology
Arif Perdana
Associate Professor, Monash University
Phoebe Gao
Assistant Professor, Business, Communication and Design, Singapore Institute of Technology
Schedule
Course Run | Dates | Time |
---|---|---|
July 2025 run | TBC | 9:00 am – 6:00 pm |
Day 1
Time | Topics |
---|---|
9:00 am - 6:00 pm |
Introduction to Artificial Intelligence (AI) and Machine Learning (ML) Introduction to Python Applying Python in accounting and finance |
Day 2
Time | Topics |
---|---|
9:00 am - 6:00 pm |
Prompt engineering Hands-on practice in generating Python codes from prompt engineering Applying Python and prompt engineering in accounting and finance |
Certificate and Assessment
A Certificate of Participation will be issued to participants who
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Fee Structure
The full fee for this course is S$2,398.00.
Category | After SF Funding |
---|---|
Singapore Citizen (Below 40) | S$719.40 |
Singapore Citizen (40 & Above) | S$279.40 |
Singapore PR / LTVP+ Holder | S$719.40 |
Non-Singapore Citizen | S$2,398.00 (No Funding) |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
Course Runs
Frequently Asked Questions
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What coding skills do I need for this programme?
No programming skills are required for this programme.
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