Hands-On Learning
Gain practical experience through hands-on projects and real-world applications.
Expert Guidance
Learn from industry experts with years of experience in Generative AI research.
Flexible Schedule
Study at your own pace with our online platform, allowing you to balance work and learning effectively.
About the Course
Collaborative Teaching and Meetings with Microsoft Teams + Generative AI helps educators and professional teams make the most of Teams by integrating AI into their daily communication and collaboration. You’ll learn how to use AI to generate meeting agendas, summarise discussions, capture action points, design shared teaching spaces, and manage resources efficiently. With clear examples and hands-on activities, the course demonstrates how AI can enhance teamwork, streamline coordination, and support a more creative, productive approach to online collaboration and teaching through Microsoft Teams.
Meet Your Instructor
Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready learning systems for Generative, Agentic, and emerging Quantum AI. Drawing on over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the confidence, capability, and critical insight needed to thrive across the evolving Continuum of Intelligence.
Curriculum
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1
Introduction
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2
SECTION 1 — Getting Started
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3
SECTION 2 — AI Awareness & Orientation
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2.1 What is Generative AI for Teaching in Teams?
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2.2 Recognising AI-Enhanceable Tasks
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2.3 Tasks AI Cannot Replace
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2.4 Visualising a Teams Session with AI
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4
SECTION 3 — Co-Agency & Learning Design
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3.1 The Co-Designer Approach
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3.2 Building Teams Session Skeletons with AI
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3.3 Collaborative AI Workflows
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3.4 Aligning Teams Activities Using AI
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5
SECTION 4 — Applied Practice & Innovation
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4.1 AI-Assisted Authoring of Session Components
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4.2 AI for Engagement Tools
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4.3 AI for Group / Breakout / Collaborative Activities
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4.4 Consistency & Branding Using AI
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6
SECTION 5 — Ethics, Equity & Impact
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5.1 Ethical Risks in AI-Assisted Teams Design
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5.2 Accessibility Standards for Synchronous & Asynchronous Teams
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5.3 AI and Inclusion
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5.4 Academic Integrity & AI Transparency
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7
SECTION 6 — Decision-Making & Governance
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6.1 When to Use AI & When to Avoid It
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6.2 AI for Teams Quality Assurance
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6.3 Policy & Compliance Considerations
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6.4 AI for Documentation & Reporting
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8
SECTION 7 — Reflection, Learning & Renewal
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7.1 AI for Reflective Practice
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7.2 Learning From Teams Engagement (Conceptual Analytics)
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7.3 Personal Capability Development
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7.4 AI-Supported Reflection Pack
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9
SECTION 8 — Capstone Project
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8.1 Requirements
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8.2 Suggested Workflow
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8.3 Submission Pack
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10
SECTION 9 — Tools, Templates & Prompt Packs
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9.1 Prompt Packs – Session Planning Prompts
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9.2 Templates
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11
Final Lesson Message
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Course Complete: Share Your Feedback
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12
Feedback
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End of Course Survey
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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