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Leveraging Generative AI in Finance and Accounting

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Glenn Hopper

46:57

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  • 01 - Introduction to generative AI in finance.mp4
    00:55
  • 01 - The rise of generative AI in finance.mp4
    02:11
  • 02 - Generative AI and accounting automation.mp4
    03:31
  • 03 - Generative AI and its application in FP&A.mp4
    03:27
  • 01 - Understanding generative models.mp4
    03:34
  • 02 - Applications of generative AI in financial forecasting.mp4
    03:46
  • 03 - The democratization of data science.mp4
    03:51
  • 01 - Ethics in AI-driven finance.mp4
    04:20
  • 02 - Compliance and regulatory landscape.mp4
    03:26
  • 03 - SOC 2 compliance and generative AI models.mp4
    03:40
  • 01 - Analyze an annual report with generative AI 10-K.mp4
    03:19
  • 02 - Analyze an annual report with generative AI Financial statements.mp4
    05:25
  • 03 - Create financial forecasts with generative AI Trend analysis.mp4
    04:05
  • 01 - Apply generative AI techniques with confidence and compliance.mp4
    01:27
  • Description


    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.

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    Glenn Hopper
    Glenn Hopper
    Instructor's Courses
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 14
    • duration 46:57
    • English subtitles has
    • Release Date 2023/12/23