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, donβt worryβyou 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.