Course Description and Competencies

What to Expect

In this course, you will work through two modules of material. Each module is broken down into smaller units. These units provide an overview of key concepts in professional AI adoption, ethics and governance, tools and prompting, data preparation, insights and visuals, and AI-assisted data analytics.

Throughout the course, you will find readings, practice scenarios, and other activities to help you develop your use of AI in data analytics. These include videos, interactive learning components, and knowledge checks to deepen your understanding of the content. Engaging with these activities will help expand your AI data analytics capabilities, equipping you with the tools to effectively engage with data so that you are able to identify key patterns and communicate findings.

Course Competencies

This course covers the following competencies:

  • The student evaluates workplace artificial intelligence practices to support responsible business decisions. 
  • The student integrates artificial intelligence tools into data analytics workflows. 

Assessment

The assessment for this course is a performance assessment. The course materials are here to help you prepare, and you can use them in the way that works best for you. To complete the course, you will need to earn a Competent ranking on the assessment.

You can set yourself up for success by creating a study plan and participating in course activities. These steps can help you build confidence and see where you may want to focus before attempting your assessment. You are encouraged to attempt the assessment as early as you feel ready so you have time to learn from the experience and try again if needed.

If you do not pass the assessment the first time, don’t worryβ€”you have two attempts before additional support is necessary. If you need another attempt or want help preparing a study strategy, your Student Experience Team are here to support you every step of the way.

1 Final Project
2 Competency Units

Course Outline

ModuleUpon completion of this module, you will be able to:
Professional AI Adoption
  • Analyze artificial intelligence implementation in workplace processes and outcomes.
  • Evaluate ethical, governance, quality, and risk considerations in workplace artificial intelligence use. 
  • Justify responsible artificial intelligence practices for organizational performance. 
AI-Assisted Data Analytics
  • Evaluate artificial intelligence tools and prompts for data analytics. 
  • Prepare data using artificial intelligence-assisted techniques.
  • Create data insights and visualizations using artificial intelligence-assisted analytics tools 

Key Contacts

Certificate Connect
Check out this online community to take advantage of course resources, including videos and tips from your educators. You can ask and answer questions, provide feedback on your progress, and interact with fellow students. You will find this platform in the Student Resources section of the course. Log on and do some exploring!

Technical Support
If you encounter technical issues, be sure to contact the Help Desk. Just submit a Support Request for assistance.

Program Support
Do you have questions about your account? Student Support has answers. They can help with billing, switching courses, and other requests. You can contact them at (888) 320-0540 or support@academy.wgu.edu.

Accommodations

WGU provides compliant and accessible learning experiences. If you require accommodation, please contact us at the start of the course. You can email disability@academy.wgu.edu.

We are committed to ensuring that all students with disabilities have equal access to WGU's services and materials. We strive to use best practices for accessibility. Our goal is to conform to existing U.S. laws, including the Americans with Disabilities Act and Section 504 and Section 508 of the Rehabilitation Act.

Our learning management system (LMS) platform is Open edX. Open edX’s commitment to accessible content is published in their Website Accessibility Policy.