Course Summary
This micro-credential is designed for managers and staff of small and medium-sized enterprises (SMEs) who want to develop practical skills in prompt engineering to enhance business operations. You will learn how to craft effective prompts and leverage Generative AI to improve decision-making, customer engagement, and efficiency in areas such as strategy development, marketing, and customer service.
The course introduces the fundamentals of Generative AI and Large Language Models (LLMs) while focusing on best practices for writing effective prompts tailored to business needs. Participants will explore the use of personas to refine AI-generated responses, apply AI for text classification, sentiment analysis, and data categorisation, and test and refine prompts to optimise outcomes.
Designed for business professionals and non-technical users, this course does not require coding or programming. By the end of the course, participants will be able to apply AI-driven prompt engineering techniques to their business operations.
A Digital Badge will be awarded upon the successful completion of this course. However, participants must score 80% or higher in quizzes to receive the Badge.
What is a Digital Badge?
Requirements - To Be Eligible
For your application to be considered, you must meet the following entry requirements.
Entry RequirementsThere are no specific entry requirements. However, the micro-credential is designed for Small and Medium Enterprises (SMEs), and Mining Equipment, Technology and Services (METS). This micro-credential is available for anyone to access. You do not have to be a CQUniversity student.
Course Details
| Course Type | Short Course (Professional Development) |
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Admission Codes
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Domestic Students Tertiary Admission Centre Codes (TAC) Codes |
Not Applicable |
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International Students CRICOS Codes |
Not Applicable |
Student Outcomes, Career Opportunities and Occupations
Undertaking this micro-credential enables Small and Medium Enterprises (SMEs), and Mining Equipment, Technology and Services (METS), and general communities to understand prompt engineering and how it can help to improve productivity and efficiency in day-to-day business operations. Upon successful completion of the micro-credential, participants will be awarded a non-creditable micro-credential, Digital Badge and a Certificate of Completion.
Study Mode Definitions
- Online: Online courses provide the flexibility to study without normally requiring a student to visit a campus. Course content is studied through a number of means including the use of online discussion forums, electronic library resources, by contacting lecturers and teachers, and receiving study materials online/electronically. Work integrated learning, including placements, may be included in some courses.
- On-campus: Students studying in on-campus mode typically are expected to attend and participate in regular, structured on-campus teaching and learning activities throughout the University’s academic term. These activities may include lectures, tutorials, workshops and practice, online or other activities and normally will be timetabled at a CQUniversity campus or approved delivery site.
- Mixed Mode: Students studying in mixed mode will participate in a combination of online learning activities in addition to site-specific learning activities, which may include residential schools, co-op placements and/or work-integrated learning as a compulsory requirement of a unit. The additional site-specific learning activities are what differentiates a mixed-mode unit from an online unit.
*All study modes may include Vocational placement and/or work integrated learning.
Select a course structure below to view the delivery details, including the different study modes offered for each structure.
3 hours
- Online
Course Assessment Information
Credit transfer - If credit for relevant formal qualifications is sought, then the process will be actioned after the student has enrolled in at least one unit of competency as directed by the relevant trainer/assessor. The Trainer/Assessor will work with the student on their credit transfer application, and provide advice and support as necessary.
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| Online Quiz(zes) |
By completing this course, participants will be able to:
- Describe Generative AI technology and its application in business
- Explain prompt engineering
- Create Generative AI prompts to improve day-to-day business operations
- Evaluate and iteratively fine-tune the prompts to make effective business decisions
- Apply prompt outputs to solve business-specific challenges.