Author : | Kelen Camehl, CPA, MBA |
Course Length : | Pages: 23 ||| Word Count: 6134 ||| Review Questions: 5 ||| Final Exam Questions: 5 |
CPE Credits : | 1.0 |
IRS Credits : | 0 |
Price : | $12.95 |
Passing Score : | 70% |
Course Type: | NASBA QAS - Text - NASBA Registry |
Technical Designation: | Technical |
Primary Subject-Field Of Study: | Specialized Knowledge - Specialized Knowledge for Course Id 2270 |
Description : | This course provides an overview of some of the implementation strategies and considerations when integrating AI technologies within organizations. It addresses how you can assess readiness for AI adoption as well as integrating AI into current workflows. This course also addresses the importance of training and upskilling staff to effectively utilize AI tools and some of the common challenges and barriers to AI adoption. |
Usage Rank : | 20000 |
Release : | 2024 |
Version : | 1.0 |
Prerequisites : | None. |
Experience Level : | Overview |
Additional Contents : | Complete, no additional material needed. |
Additional Links : |
Artificial Intelligence (AI): What It Is and How It Is Used
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Advance Preparation : | None. |
Delivery Method : | QAS Self Study |
Intended Participants : | Anyone needing Continuing Professional Education (CPE). |
Revision Date : | 22-Apr-2024 |
NASBA Course Declaration : | Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam. |
Approved Audience : | NASBA QAS - Text - NASBA Registry - 2270 |
Keywords : | Specialized Knowledge, AI, Series, Considerations, Organizations, Adopting, cpe, cpa, online course |
Learning Objectives : |
Course Learning Objectives
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Course Contents : | Chapter 1 - AI Series - Considerations for Organizations When Adopting AI Course Learning Objectives Course Overview Introduction Assessing Readiness for AI Adoption Technological Infrastructure Data Availability & Quality Organizational Culture & Readiness Review Questions Integrating AI into Existing Workflows Training & Upskilling Staff Common Challenges & Barriers to AI Adoption Conclusion Review Questions Glossary of Key Terms |