Main Training Program

LEVERAGING AI & LARGE LANGUAGE MODELS IN FINANCE

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INTRODUCTION FOR LEVERAGING AI & LARGE LANGUAGE MODELS IN FINANCE

This 2-day training provides participants with the tools and knowledge to effectively use AI and large language models (LLMs) to enhance financial management. The program emphasizes practical applications in financial analysis, reporting, and forecasting, focusing on topics like Profit & Loss (P&L), Balance Sheets, Cash Flow, Budgeting, and Ratios. Participants will gain hands-on experience with AI tools, learn how to automate financial workflows, and apply LLMs to streamline decision-making.

 

COURSE OBJECTIVES

  • Understand the integration of AI and LLMs in financial analysis.
  • Learn to leverage AI tools for financial reporting and forecasting.

 

OUTCOMES

  • Participants will be able to analyze financial statements (P&L, Balance Sheet, Cash Flow) using AI.
  • Participants will gain skills in AI-assisted budgeting and financial ratio analysis.
  • Participants will develop practical skills through hands-on workshops and case studies.

 

TARGET AUDIENCE

  • Finance professionals and analysts.
  • Accounting professionals.
  • Business managers and decision-makers.
  • Individuals interested in enhancing their financial analysis skills with AI tools.HR Managers and Directors

 

PREREQUISITE

At least one year of experience in Finance Management

 

COURSE CONTENT

Day 1

Introduction to AI in Finance:

Overview of AI and LLMs in financial analysis

 

Profit & Loss (P&L):

Understanding P&L statements and AI applications

 

Balance Sheet:

Analyzing balance sheets using AI tools

 

Cash Flow:

AI for cash flow forecasting and management

 

Q&A Session:

Interactive Q&A on Day 1 topics

 

Day 2

Budgeting:

AI-assisted budgeting techniques

 

Financial Ratios:

Calculating and interpreting ratios with AI

 

Case Studies:

Real-world applications of AI in finance

 

Hands-on Workshop:

Practical session using AI tools for financial analysis

 

Wrap-up & Feedback:

Summary of learnings and feedback collection

How To Submit an Enquiry to Us?

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  3. We’ll promptly reach out to you regarding the training you’re interested in.

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