Course Description and Competencies

What to Expect

In this course, you will work through three modules of content. These modules are broken into smaller units. Studying this material will build your skills in automating work tasks. Throughout the course, you will find curated readings, videos, and interactive elements. Engaging with these activities can reinforce new learning. It also complements the knowledge you bring to this area of study. At the end of each unit, you will be able to check your understanding of the material and prepare for the final assessment with Lightning Round quizzes and Assessment Practice activities.

Prerequisites:

Generative AI Skills (GAI1) is a prerequisite for this course.

Course Competencies

This course covers the following competencies:

  • The student identifies components that comprise a work task.
  • The student determines the suitability of work task components for AI automation.
  • The student creates multi-step AI-automated workflows.

Assessment

The assessment for this course is a final project. 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, taking practice quizzes, and completing the practice assessment. 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 Course Instructor and Student Experience Specialist 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:
Deconstructing Your Work
  • Identify task components within a routine work task.
  • Sequence task components of a work task.
Auditing Your Automation
  • Describe characteristics of task components which are suitable for AI automation.
  • Identify characteristics that limit AI automation of a task component. 
  • Recommend task components for AI automation based on characteristics and risk factors. 
Building Automations
  • Design prompts that produce structured AI outputs. 
  • Create a multi-step AI-automated workflow that connects AI-generated outputs to complete a work task.  
  • Refine prompts or workflow steps to improve the quality, relevance, or accuracy of AI-generated outputs.  
  • Document the inputs, constraints, and workflow steps of an AI-automated workflow.  

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 or call (888) 320-0540.

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.