In the ever-evolving accounting landscape, maintaining a competitive edge requires embracing cutting-edge technologies. Our one-day workshop, "Beyond Traditional Accounting: Prompt Engineering with Generative AI," offers accounting professionals an immersive exploration of Generative AI and prompt engineering. Participants will gain a comprehensive understanding of Generative AI using ChatGPT and Gemini (Google Bard) and its relevance to accounting, delving into the workings of Large Language Models (LLMs) while also considering ethical considerations and limitations.
Through interactive sessions, attendees master prompt engineering techniques, equipping them to harness the power of AI for financial analysis, report generation, and data interpretation. Several case studies illustrate practical applications, while best practices are shared for seamless AI integration into accounting workflows. Our aim is to empower accounting professionals with the skills and knowledge necessary to excel in an AI-augmented profession. Join us to explore the future of accounting, where traditional boundaries blur, and Generative AI opens new horizons. Seize this opportunity to remain at the forefront of accounting innovation!
On the completion of this course, you will:
- Understand the role of Generative AI and Large Language Models (LLMs) in accounting.
- Apply prompt engineering techniques to create effective prompts for accounting tasks.
- Use AI tools for financial analysis, report generation, and data interpretation.
- Integrate AI into accounting workflows following best practices.
- Recognize the ethical considerations and limitations of AI in accounting, ensuring responsible AI usage.
Programme Outline
1. Understanding Generative AI and Its Relevance to Accounting
- Overview of AI and Large Language Models (LLMs) in the accounting landscape.
- Deep dive into how LLMs (ChatGPT and Gemini/Google Bard) process and generate information.
- Ethical considerations and limitations of AI in accounting.
2. Interactive Learning and Hands-On Practice
- Interactive training session on prompt engineering with AI tools (ChatGPT and Gemini/Google Bard).
- Participants engage in real-world scenarios (accounting analytics – descriptive, diagnostic and predictive analytics) to create effective prompts for financial analysis, report generation, and data interpretation.
3. Practical Applications and Integrating AI into Workflow
- Case studies showcasing AI's role in automating and enhancing accounting tasks.
- Best practices for integrating AI into existing accounting systems and workflows.
- Future outlook and skill development for accountants in an AI-augmented profession.
Training Methodology
Facilitated learning which includes classroom or practical sessions in a workshop
Closing Date for Registration
1 Week before Programme or Until Full Enrolment.
Intended For
Professionals who are performing accounting, financial analysis, and reporting tasks.
Competency Mapping
Category 5 = 7.00 Hours
Schedule & Fees
Date & Time
04 Oct 2024 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
For Members:
$ 381.50
For Non-Members:
$ 458.89
Programme Facilitator(s)
Assoc Prof Arif Perdana
Venue
Live Webinar in or outside of
Singapore
Testimonial
How to better use generative AI in my work, not to solely rely on the output generated but use it as a starting reference while double checking on the accuracy of the generated output.
Past Participant
Funding
1] NTUC Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025.
*Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This excludes material fees, registration fees, misc. fees etc.
This course is approved for UTAP support for intakes conducted between 08 February 2024 – 31 March 2025.
As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.
- Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
- Course by training provider must be supported under UTAP and training must commence within the supported period and;
- Unfunded course fee must not be fully sponsored by company or other types of funding
- Unfunded course fee must be S$20.00 and above, and;
- Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
- UTAP application must be made within 6 months after course ends.
For more information on UTAP Funding and to submit for UTAP claims, please visit https://www.ntuc.org.sg/uportal/programmes/union-training-assistance-programme. Terms and conditions apply.
Programme Facilitator(s)
Assoc Prof Arif Perdana
CA (Indonesia)
Arif works as Associate Professor (Data Science) at Monash University. Arif has worked in academia for more than a decade in several countries (e.g., Australia, Denmark, and Singapore). Prior to working in academia, Arif worked in the IT service and finance industry. His research interests are in Data Science and Analytics, and Digital Technology Enablement. He has done industrial research and consultancy with Singaporean institutions and companies such as the Institute of Singapore Chartered Accountants (ISCA), RSM Singapore, Crowdo, PKF Singapore, Hands Corporation, and Baker Tilly Singapore. He has secured several industrial research grants from Singaporean companies in the areas of data analytics, fintech and blockchain.
Arif has solid experience in teaching information systems and analytics to executives and professionals. He conducted several workshops in Singapore, such as Data Analytics for professionals, Data Analytics and automation for accountants and Data Analytics for Lean Management. The workshops conducted were supported by the Singapore SkillsFuture professional development and retraining program. He has successfully trained more than 100 professionals in Singapore from organizations such as Ministry of Defence, Singapore; Intellectual Property Office Singapore; PSA International Pte Ltd; Hewlett Packard, Inc; Deloitte & Touche, LLP; PKF-CAP LLP; Mizuho Bank; Ubisoft Singapore Pte. Ltd; CrimsonLogic Pte Ltd; Surbana Jurong Consultants Pte. Ltd; Baxter Healthcare SA Singapore Branch; Mandarin Orchard Singapore; Continental Automotive Singapore Pte. Ltd; St. Luke’s Hospital; National University Hospital; Mount Alvernia Hospital; and ALARP Process Safety Solutions Pte. Ltd.
His research appears in several information systems journals such as Information & Management, Behavior & Information Technology, Journal of Information Systems, International Journal of Accounting Information Systems, Telematics and informatics, and Technology in Society. He has presented his research in various workshops and conferences on primary accounting, accounting information systems and mainstream information systems.
In the ever-evolving accounting landscape, maintaining a competitive edge requires embracing cutting-edge technologies. Our one-day workshop, "Beyond Traditional Accounting: Prompt Engineering with Generative AI," offers accounting professionals an immersive exploration of Generative AI and prompt engineering. Participants will gain a comprehensive understanding of Generative AI using ChatGPT and Gemini (Google Bard) and its relevance to accounting, delving into the workings of Large Language Models (LLMs) while also considering ethical considerations and limitations.
Through interactive sessions, attendees master prompt engineering techniques, equipping them to harness the power of AI for financial analysis, report generation, and data interpretation. Several case studies illustrate practical applications, while best practices are shared for seamless AI integration into accounting workflows. Our aim is to empower accounting professionals with the skills and knowledge necessary to excel in an AI-augmented profession. Join us to explore the future of accounting, where traditional boundaries blur, and Generative AI opens new horizons. Seize this opportunity to remain at the forefront of accounting innovation!
On the completion of this course, you will:
- Understand the role of Generative AI and Large Language Models (LLMs) in accounting.
- Apply prompt engineering techniques to create effective prompts for accounting tasks.
- Use AI tools for financial analysis, report generation, and data interpretation.
- Integrate AI into accounting workflows following best practices.
- Recognize the ethical considerations and limitations of AI in accounting, ensuring responsible AI usage.
Programme Outline
1. Understanding Generative AI and Its Relevance to Accounting
- Overview of AI and Large Language Models (LLMs) in the accounting landscape.
- Deep dive into how LLMs (ChatGPT and Gemini/Google Bard) process and generate information.
- Ethical considerations and limitations of AI in accounting.
2. Interactive Learning and Hands-On Practice
- Interactive training session on prompt engineering with AI tools (ChatGPT and Gemini/Google Bard).
- Participants engage in real-world scenarios (accounting analytics – descriptive, diagnostic and predictive analytics) to create effective prompts for financial analysis, report generation, and data interpretation.
3. Practical Applications and Integrating AI into Workflow
- Case studies showcasing AI's role in automating and enhancing accounting tasks.
- Best practices for integrating AI into existing accounting systems and workflows.
- Future outlook and skill development for accountants in an AI-augmented profession.
Training Methodology
Facilitated learning which includes classroom or practical sessions in a workshop
Closing Date for Registration
1 Week before Programme or Until Full Enrolment.
Intended For
Professionals who are performing accounting, financial analysis, and reporting tasks.
Competency Mapping
Category 5 = 7.00 Hours
Programme Facilitator(s)
Assoc Prof Arif Perdana
CA (Indonesia)
Arif works as Associate Professor (Data Science) at Monash University. Arif has worked in academia for more than a decade in several countries (e.g., Australia, Denmark, and Singapore). Prior to working in academia, Arif worked in the IT service and finance industry. His research interests are in Data Science and Analytics, and Digital Technology Enablement. He has done industrial research and consultancy with Singaporean institutions and companies such as the Institute of Singapore Chartered Accountants (ISCA), RSM Singapore, Crowdo, PKF Singapore, Hands Corporation, and Baker Tilly Singapore. He has secured several industrial research grants from Singaporean companies in the areas of data analytics, fintech and blockchain.
Arif has solid experience in teaching information systems and analytics to executives and professionals. He conducted several workshops in Singapore, such as Data Analytics for professionals, Data Analytics and automation for accountants and Data Analytics for Lean Management. The workshops conducted were supported by the Singapore SkillsFuture professional development and retraining program. He has successfully trained more than 100 professionals in Singapore from organizations such as Ministry of Defence, Singapore; Intellectual Property Office Singapore; PSA International Pte Ltd; Hewlett Packard, Inc; Deloitte & Touche, LLP; PKF-CAP LLP; Mizuho Bank; Ubisoft Singapore Pte. Ltd; CrimsonLogic Pte Ltd; Surbana Jurong Consultants Pte. Ltd; Baxter Healthcare SA Singapore Branch; Mandarin Orchard Singapore; Continental Automotive Singapore Pte. Ltd; St. Luke’s Hospital; National University Hospital; Mount Alvernia Hospital; and ALARP Process Safety Solutions Pte. Ltd.
His research appears in several information systems journals such as Information & Management, Behavior & Information Technology, Journal of Information Systems, International Journal of Accounting Information Systems, Telematics and informatics, and Technology in Society. He has presented his research in various workshops and conferences on primary accounting, accounting information systems and mainstream information systems.