Leveraging Generative AI in Finance and Accounting [Updated: 7/1/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 48m | 126 MB
Instructor: Glenn Hopper
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 48m | 126 MB
Instructor: Glenn Hopper
This course provides a comprehensive exploration of generative AI in the fields of finance and accounting. Instructor Glenn Hopper covers the fundamental concepts, models, ethical considerations, and practical applications of generative AI, with a focus on financial forecasting and analysis. Through real-world case studies, gain hands-on experience in using generative AI to analyze SEC filings and create financial forecasts. The course concludes with actionable next steps for continuous learning and implementation.
Learning objectives
- Evaluate the impact of generative AI on the evolving roles in the accounting profession.
- Analyze how generative AI models can be used to improve risk assessment processes in business environments.
- Explain the objectives behind the democratization of data science and its significance in finance and accounting.
- Describe the significance of SOC 2 compliance in the governance of generative AI data across financial sectors.
- Assess the benefits of integrating data science with domain expertise in enhancing financial forecasting accuracy.