Hands-On Learning

Simulate real-world teaching and institutional scenarios with guided AI prompts, case studies and interactive activities.

Education-Focused Insights

Explore best practices and real examples of AI integration in pedagogy, curriculum design and student support.

Flexible, Self-Paced Learning

Work through structured, on-demand modules at your own pace, with resources tailored to your teaching and leadership goals.

About the Course

Discover the fundamentals of generative AI and its application within higher education. This course explores core concepts and capabilities, the inner workings of language models, and their training data and limitations. You’ll examine real-world use cases—from teaching innovations to administrative efficiencies—while assessing opportunities and risks such as creativity, bias and misinformation. Finally, you’ll learn prompt-design basics to craft effective inputs tailored to educational contexts, equipping you with the knowledge to integrate AI responsibly into academic practice.

Meet Your Instructor

I'm Jonathan Wong, a Lead AI Scientist and researcher specialising in medical diagnostics, data science, and advanced research technologies. My work focuses on applying generative AI and machine learning to improve healthcare outcomes and support complex research workflows. In this course, I share practical tools, ethical strategies, and real-world insights developed through applied experience in research and development. Whether you're just beginning or looking to deepen your skills, you'll find structured guidance to help you use AI effectively, creatively, and responsibly in your research practice.

Curriculum

9 Chapters · 66 Lessons

  1. 1

    Introduction

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
  2. 2

    1.1 Demystifying Generative AI: A Conceptual Overview

    1. 1.1.1 What is Generative AI? Free preview
    2. 1.1.2 Multimodal Generative AI in Practice Free preview
    3. 1.1.3 Foundation Models vs Fine-Tuned Educational Tools Free preview
    4. 1.1.4 The Generative AI Ecosystem in Higher Education Free preview
    5. 1.1.5 Everyday Interactions and Human-AI Collaboration Free preview
    6. 1.1.6 Key Takeaways Free preview
    7. 1.1.A Practical Use Cases Free preview
    8. 1.1.B Learning Activities Free preview
    9. 1.1.C Prompt Templates Free preview
    10. 1.1.D Innovative Use Cases Free preview
    11. 1.1.E Reflection & Discussion Free preview
    12. 1.1.F Productivity Tips Free preview
  3. 3

    1.2 How Generative AI Works: Language Models, Training Data, and Limitations

    1. (Included in full purchase)

      1.2.1 Foundations: How Language Models Work

    2. (Included in full purchase)

      1.2.2 Data Pipelines and the Origins of Bias

    3. (Included in full purchase)

      1.2.3 Behavioural Traits of Generative AI

    4. (Included in full purchase)

      1.2.4 Teaching with Transparency: Visualising AI Workflows

    5. (Included in full purchase)

      1.2.5 Crafting Prompts That Expose Model Limits

    6. (Included in full purchase)

      1.2.6 Key Takeaways

    7. (Included in full purchase)

      1.2.A Practical Use Cases

    8. (Included in full purchase)

      1.2.B Learning Activities

    9. (Included in full purchase)

      1.2.C Prompt Templates

    10. (Included in full purchase)

      1.2.D Innovative Use Cases

    11. (Included in full purchase)

      1.2.E Reflection & Discussion

    12. (Included in full purchase)

      1.2.F Productivity Tips

  4. 4

    1.3 Use Cases in Higher Education: From Teaching to Admin

    1. (Included in full purchase)

      1.3.1 Enhancing Teaching Preparation and Learning Resource Development

    2. (Included in full purchase)

      1.3.2 Supporting Student Engagement and Personalised Learning

    3. (Included in full purchase)

      1.3.3 Enhancing Assessment Design, Feedback, and Academic Integrity

    4. (Included in full purchase)

      1.3.4 Transforming Academic Advising, Retention, and Wellbeing Support

    5. (Included in full purchase)

      1.3.5 Enabling Strategic Foresight and Institutional Planning

    6. (Included in full purchase)

      1.3.6 Key Takeaways

    7. (Included in full purchase)

      1.3.A Practical Use Cases

    8. (Included in full purchase)

      1.3.B Learning Activities

    9. (Included in full purchase)

      1.3.C Prompt Templates

    10. (Included in full purchase)

      1.3.D Innovative Use Cases

    11. (Included in full purchase)

      1.3.E Reflection & Discussion

    12. (Included in full purchase)

      1.3.F Productivity Tips

  5. 5

    1.4 Opportunities and Risks: Creativity, Bias, and Misinformation

    1. (Included in full purchase)

      1.4.1 Creative Potential of Generative AI in Higher Education

    2. (Included in full purchase)

      1.4.2 Unpacking Bias in Generative AI Outputs

    3. (Included in full purchase)

      1.4.3 Misinformation and the Hallucination Problem

    4. (Included in full purchase)

      1.4.4 Navigating Ethical Grey Areas: Agency and De-Skilling

    5. (Included in full purchase)

      1.4.5 Building Critical Capacity through Student-led Risk Mitigation

    6. (Included in full purchase)

      1.4.6 Key Takeaways

    7. (Included in full purchase)

      1.4.A Practical Use Cases

    8. (Included in full purchase)

      1.4.B Learning Activities

    9. (Included in full purchase)

      1.4.C Prompt Templates

    10. (Included in full purchase)

      1.4.D Innovative Use Cases

    11. (Included in full purchase)

      1.4.E Reflection & Discussion

    12. (Included in full purchase)

      1.4.F Productivity Tips

  6. 6

    1.5 Prompt Design Basics: Crafting Effective Inputs for Educational Contexts

    1. (Included in full purchase)

      1.5.1 Understanding Prompt Engineering in Higher Education Contexts

    2. (Included in full purchase)

      1.5.2 The Anatomy of an Effective Prompt

    3. (Included in full purchase)

      1.5.3 Building and Sharing Prompt Libraries

    4. (Included in full purchase)

      1.5.4 Iteration Through Peer Review and Prompt Feedback

    5. (Included in full purchase)

      1.5.5 The Prompt Maturity Model: A Framework for Progress

    6. (Included in full purchase)

      1.5.6 Key Takeaways

    7. (Included in full purchase)

      1.5.A Practical Use Cases

    8. (Included in full purchase)

      1.5.B Learning Activities

    9. (Included in full purchase)

      1.5.C Prompt Templates

    10. (Included in full purchase)

      1.5.D Innovative Use Cases

    11. (Included in full purchase)

      1.5.E Reflection & Discussion

    12. (Included in full purchase)

      1.5.F Productivity Tips

  7. 7

    Knowledge Check

    1. (Included in full purchase)

      Knowledge Check: Quiz

  8. 8

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  9. 9

    Feedback

    1. (Included in full purchase)

      End of Course Survey

Unlock Your Genai Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.

£97.00

Enroll Now Free preview