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About the course
Many organisations already hold valuable knowledge in manuals, guidelines, presentations, training materials and other institutional sources, but transforming these materials into coherent self-paced e-learning can require considerable time and instructional-design effort.
This practical orientation introduces an AI-assisted workflow for consolidating reliable existing materials and progressively transforming them into structured, Moodle-ready learning. It is designed for instructional designers, e-learning developers, trainers, educators, subject-matter experts, Moodle course creators and administrators, and other staff responsible for converting existing knowledge into online learning.
During approximately three hours of self-paced Moodle learning, you will observe and practise a complete workflow using three custom designed GPTs. The first GPT to define a course, the second GPT to develop a course blueprint and specify details of a selected unit, and the third GPT to author a Moodle-ready unit package. You will also see how reviewed and approved outputs are progressively transferred into Moodle.
The emphasis is on using the workflow effectively rather than understanding the internal engineering of the GPTs. A continuous Results-Based Management example, focused screen demonstrations and controlled practice activities will help you follow the process from source materials to Moodle implementation while maintaining active human review and control. No certificate is issued for this course.
What you'll learn
- 1. Preparing project materials: Select, organise and assign clear roles to source materials so they can support controlled AI-assisted course development.
- 2. Course definition with first GPT: Use the guided process to define, review and refine a course and establish the Moodle course shell.
- 3. Course blueprint with second GPT: Develop and review a coherent learning pathway from an approved Course Definition and assigned sources.
- 4. Unit specification with second GPT: Specify one selected unit as the controlling basis for detailed content authoring.
- 5. Unit authoring with third GPT: Develop and iteratively review a complete Moodle-ready unit package without redesigning the approved specification.
- 6. Progressive Moodle implementation: Transfer approved outputs into Moodle while maintaining human review, traceability and design control.
Requirements
- No advanced knowledge of artificial intelligence, programming or instructional-design theory; basic familiarity with ChatGPT and Moodle is helpful.
- Basic computer skills, including the ability to open, upload, download and save common document formats.
- A computer with a current web browser and reliable internet access.
- An OpenAI account with access to the three shared GPTs and sufficient usage capacity.
- Access to the Moodle course and a Moodle practice area with appropriate editing permissions.
- Access to the supplied non-confidential practice materials.
Course content
Sections: 13
•Activities: 1
•Resources: 0
Certificate Requirements
No certificate is issued for this course. Completion is based on engaging with all required course components and demonstrations, completing the controlled practice activity associated with each main stage of the workflow, and completing a final workflow checklist confirming understanding of how the three GPT connect and pass information to each other. There is no examination, graded assessment or project submission. Moodle completion settings track participation and completion of the required activities rather than assess professional competence.
Instructors
Enrolment options
AI-Assisted Moodle Course Development AI Course Development
Course modified date: 5 September 2026
- Skill Level: Beginner to Intermediate
- Course Duration: Self Paced
- Course Commitment: 3 Hours
- Course Language: English
Many organisations already hold valuable knowledge in manuals, guidelines, presentations, training materials and other institutional sources, but transforming these materials into coherent self-paced e-learning can require considerable time and instructional-design effort.
This practical orientation introduces an AI-assisted workflow for consolidating reliable existing materials and progressively transforming them into structured, Moodle-ready learning. It is designed for instructional designers, e-learning developers, trainers, educators, subject-matter experts, Moodle course creators and administrators, and other staff responsible for converting existing knowledge into online learning.
During approximately three hours of self-paced Moodle learning, you will observe and practise a complete workflow using three custom designed GPTs. The first GPT to define a course, the second GPT to develop a course blueprint and specify details of a selected unit, and the third GPT to author a Moodle-ready unit package. You will also see how reviewed and approved outputs are progressively transferred into Moodle.
The emphasis is on using the workflow effectively rather than understanding the internal engineering of the GPTs. A continuous Results-Based Management example, focused screen demonstrations and controlled practice activities will help you follow the process from source materials to Moodle implementation while maintaining active human review and control. No certificate is issued for this course.
- Teacher: Jeremiah Gitonga
- Enrolled students: There are no students enrolled in this course.
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- Skill Level: Beginner to Intermediate
- Course Duration: Self Paced
- Course Commitment: 3 Hours
- Course Language: English
This course includes
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