AI Applications and Challenges for Auditors (AUDT7100)

Rising Hands

AI Applications and Challenges for Auditors

Description:

Artificial Intelligence (AI) is transforming the audit process through tools like machine learning, predictive analytics and natural language processing. This hands-on course equips audit professionals to use AI applications to improve audit quality, analyze data and identify patterns. You’ll explore real-world use cases, ethical considerations and government compliance related to AI implementation, including generative AI and automation tools that support fraud detection, risk identification and routine administrative tasks.

Duration:

1 day

Level:

Foundational

Who Should Attend?

Federal government auditors who want to effectively integrate and use AI tools in their auditing practices.

Learning Outcomes:

  • Describe the fundamentals of AI, why it matters and how it can assist in job functions.
  • Identify previous AI regulatory efforts, current guidelines and initiatives from other jurisdictions.
  • Analyze the precautions of using AI, including ethical and legal restrictions.
  • Review several existing AI use cases and brainstorm potential implementation possibilities.
  • Apply key AI concepts to improve document workflows.

Available Sessions:

Session Code Start Date End Date Location Tuition
Session Code AUDT7100-001 Start Date Aug 11, 2025 9:00 AM EST End Date Aug 11, 2025 5:00 PM EST Location Virtual Tuition $649.00

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Session Code AUDT7100-002 Start Date Sep 08, 2025 9:00 AM EST End Date Sep 08, 2025 5:00 PM EST Location Virtual Tuition $649.00

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Session Code AUDT7100-003 Start Date Oct 06, 2025 9:00 AM EST End Date Oct 06, 2025 5:00 PM EST Location Virtual Tuition $649.00

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Session Code AUDT7100-004 Start Date Nov 17, 2025 9:00 AM EST End Date Nov 17, 2025 5:00 PM EST Location Virtual Tuition $649.00

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Session Code AUDT7100-005 Start Date Dec 15, 2025 9:00 AM EST End Date Dec 15, 2025 5:00 PM EST Location Virtual Tuition $649.00

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Bring This Class To My Location

  • Module 1 Introduction to AI: History, Data Influences, and Technical Progression
  • Module 2 LLMs, SLMs, and Artificial Intelligence Architecture
  • Module 3 AI Products and Searching Techniques
  • Module 4 AI Cautions and Ethical Considerations
  • Module 5 Use Cases in AI

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