Resources
PREVENT AI4Circular Training

How can data and Artificial Intelligence accelerate the transition to a circular economy?

The AI4Circular Training Programme is designed to help PREVENT members answer exactly that question. The programme focuses on AI and its practical applications for the circular economy.

Click here to check out extisting AI use cases for the circular economy along the life cycle!

AI Use Case Navigator

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Training Materials

What to expect: Discover how AI creates value in the circular economy through real-world examples, grasp key AI concepts, sharpen your prompting skills, and understand the limitations and legal considerations of responsible AI use. Engage with hands-on formats, tools, and examples tailored to circular economy challenges and learn how to turn an idea into a practical AI project!

Circular Economy Meets AI

What is already possible?

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Basics of AI

AI is not magic, it follows clear principles that you can understand.

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Guest Talk - TOMRA

Deep Learning in Sorting

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Learning Snippet - Prompting

The power of a good prompt and a prompting battle

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AI Agents

What is the difference between AI prompts and agents? How can agentic workflows create value?

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Risks and Limitations

Risks and limitations of using AI

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Guest Talk - CleanHub

Using AI to prevent ocean plastic pollution

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From Idea to Project

How can we turn an idea into a project? Quick wins and the AI Use Case Canvas

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Training videos

1

Circular Economy Meets AI: What Is Already Possible

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Basics of AI

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Guest Talk - Deep Learning in Sorting with TOMRA

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4

AI Agents - Recording coming soon!

5

Risks and Limitations

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6

Guest Talk - CleanHub: Using AI to prevent ocean plastic pollution

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7

From Idea to Project

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Overview

1

Circular Economy Meets AI: What Is Already Possible

2

Basics of AI

3

Guest Talk - Deep Learning in Sorting with TOMRA

4

AI Agents - Recording coming soon!

5

Risks and Limitations

6

Guest Talk - CleanHub: Using AI to prevent ocean plastic pollution

7

From Idea to Project

This training has been developed by MaibornWolff and the PREVENT Waste Alliance. Do you have a comment, feedback or questions? Please contact us at steffen.blume@giz.de and anika.schumann@giz.de!