K2's Artificial Intelligence For Accounting And Financial Professionals

K2's Artificial Intelligence For Accounting And Financial Professionals

K2’s Artificial Intelligence For Accounting And Financial Professionals

Course - K2's Artificial Intelligence For Accounting And Financial Professionals

Major Topics

  • Exploring AI applications in accounting and finance
  • Understanding AI features in everyday tools
  • Embracing the future: AI’s impact on finance and accounting

Learning Objectives

  1. Evaluate AI’s impact on accounting and financial fields.
  2. Recognize essential components of Artificial Intelligence.
  3. Distinguish AI, Machine Learning, and Robotic Process Automation.
  4. Explore practical AI applications in accounting and finance.
  5. Identify AI features in applications like Excel.

Description

Discover the real-world power of Artificial Intelligence (AI) and equip yourself with the skills to conquer modern challenges in accounting and finance. In this engaging course, we demystify AI and unveil its practical applications, transforming it from theory into a hands-on tool. Learn the essential AI fundamentals and unlock its remarkable potential to boost your productivity and effectiveness alongside your team.

Explore the specific problem-solving capabilities of AI, tailored to address the unique challenges faced by accounting and financial professionals. Gain expertise in leveraging AI features integrated into everyday applications, including the ubiquitous Excel. Uncover how these features enable you to effortlessly detect fraud, identify potential transaction errors, and elevate your financial operations to new heights. Witness firsthand how AI is reshaping the present and future of your profession, positioning you at the forefront of this revolutionary wave.

Compliance Information

Accounting and financial professionals seeking to learn how to use Artificial Intelligence to work more efficiently and improve business processes None Computer Software and Applications 4 Credits January 1, 2024

Overview

Discover the real-world power of Artificial Intelligence (AI) and equip yourself with the skills to conquer modern challenges in accounting and finance. In this engaging course, we demystify AI and unveil its practical applications, transforming it from theory into a hands-on tool. Learn the essential AI fundamentals and unlock its remarkable potential to boost your productivity and effectiveness alongside your team.

Explore the specific problem-solving capabilities of AI, tailored to address the unique challenges faced by accounting and financial professionals. Gain expertise in leveraging AI features integrated into everyday applications, including the ubiquitous Excel. Uncover how these features enable you to effortlessly detect fraud, identify potential transaction errors, and elevate your financial operations to new heights. Witness firsthand how AI is reshaping the present and future of your profession, positioning you at the forefront of this revolutionary wave.

Course Details

  • Common security weaknesses that occur with hardware and software at home and in the office
  • Malware, ransomware, data breach, and incident response tips
  • Internal control failures which result in the theft of assets or unauthorized manipulation of data

  1. List at least three major security incidents reported in the headlines in the last year, and explain at least one major internal control design or operation flaw that allowed the hack to occur
  2. Select the correct definitions for common security terms such as attack surface, vulnerability, exploit, social engineering, phishing, malware, heuristics, biometrics, and multi-factor authentication (MFA)
  3. List at least three best practices learned by reviewing the control failures cited in the case studies

Intended Audience — Business professionals seeking to optimize their home network solution

Advanced Preparation — None

Field of Study — Information Technology

Credits — 2 Credits

IRS Program Number

Published Date – January 1, 2025

Revision Date

Course Authors

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