Course Overview
Education is undergoing a major transformation driven by Artificial Intelligence (AI). From lesson planning and content creation to assessment design, feedback, and student support, AI offers powerful opportunities to enhance teaching effectiveness, improve learning experiences, and reduce administrative burden—when used responsibly.
Advances in Generative AI and Large Language Models (LLMs) enable educators to personalise learning materials, generate assessments, provide formative feedback, support diverse learners, and streamline academic workflows. However, these opportunities come with challenges related to academic integrity, ethics, bias, data privacy, and the evolving role of educators.
This course provides a practical, education-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support teaching and learning, and gain hands-on experience applying AI to real educational tasks. The emphasis is on pedagogical value, ethical use, and immediate classroom applicability, without requiring technical or programming skills.
What are the skills covered
By the end of this course, participants will be able to:
- Understand core AI concepts relevant to education
- Distinguish between AI, Machine Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for teaching and learning workflows
- Use AI to support lesson planning, content creation, and assessment
- Apply AI to student feedback, academic support, and learning design
- Improve productivity while maintaining academic integrity and ethics
- Establish responsible AI practices in educational environments
Who should attend this course
This course is designed for professionals involved in education and training, including:
- Lecturers and university academics
- School teachers and educators
- Trainers and instructional designers
- Academic coordinators and programme managers
- Education administrators and support staff
- Curriculum developers and assessment designers
No prior AI or technical background is required.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
