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Overview
Activities are practice worksheets that help you research, design, and build products with AI capabilities. Each activity gives you a structured way to explore ideas, test concepts, and apply what you’ve learned in a real-world context. They’re designed to make your learning hands-on — helping you move beyond theory and develop the practical skills needed to create AI-driven solutions.
By completing these activities, you’ll learn how to identify opportunities for AI, design meaningful interactions, and present your work as a complete, well-documented case study or project.
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Purpose
The purpose of these activities is to help students move from learning to doing — by turning design and AI concepts into real, practical outcomes.
Each activity gives you a clear method to think critically, explore ideas, and make confident decisions during your projects. Whether you’re working on an academic project, preparing for interviews, or building your portfolio, these exercises help you apply what you’ve learned in a structured, meaningful way.
They teach you how to frame problems, test ideas, and communicate your design process — the exact skills interviewers and project evaluators look for.
By practicing these activities, you’ll not only strengthen your projects but also build a mindset that helps you design smarter, present stronger, and stand out with clarity and confidence.
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How to use
Start with an activity that matches your project goal — whether you’re researching, designing, or building an AI product.
Use the Notion template as your main workspace to document your ideas, insights, and outcomes. Each activity gives you a structured flow to define problems, explore ideas, and present results clearly.
If you need help at any point, open the PDF worksheet. It follows the same layout as the Notion template but includes ChatGPT prompts that guide your thinking, help you ask better questions, and fill each section with more depth and clarity.
Together, they help you practice hands-on learning, apply design methods systematically, and present your work like a real AI project.
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Dig deep into root causes for a clear path to problem resolution.
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Harness diverse perspectives for innovative solutions.
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**A/B Testing 🔒**
Optimize decisions with data-driven experimentation.
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Analyze human-centered contexts for insightful design solutions.
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Visualising, designing, and innovating AI product models.
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**Break Down 4 🔒**
A structured approach to solve problems through analysis.
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Validating ideas with target audiences before implementing.
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**Content Audit 🔒**
Evaluating content performance to optimize engagement.
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Prioritising actions and features to focus on what truly matters.
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Prioritize tasks effectively for strategic decision-making.
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Understand user emotions at every stage of their interaction journey.
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