AI Course for Environmental Educators

This complementary video course will take you through a series of conscience hands-on lessons to show how you can use AI tools to enhance your environmental education.

Course Objectives:

  • Understand AI fundamentals and their applications in environmental contexts.
  • Develop skills to use AI for data analysis, content creation and interactive learning.
  • Explore future trends in AI and their potential impact on environmental education.

You can sit and watch the whole two hour video course in one go via this YouTube video if you wish, alternatively it has been broken down below into ten smaller digestible modules.

Full Course


Module 1: Introduction

In this introduction, you get to know Lee Mallon, our expert guide with a rich background in AI and a passion for sustainability. Lee will lead us through this transformative learning experience.

Module 2: Framing the World

In this initial module, participants will understand the significance of framing in environmental education. It explores how narratives about the environment and technology can profoundly influence learning and engagement.

Module 3: Fundamentals of AI

This module offers an in introduction to the fundamentals of Artificial Intelligence, covering its history, development, and essential concepts. Participants will gain an understanding of Machine Learning and Deep Learning and their applications in environmental contexts. The focus is on demystifying AI and providing a solid foundation for educators to understand and communicate the principles of AI in their environmental education endeavours.

Module 4: Talking to Information

Concentrating on large environmental information, this module teaches techniques for data mirroring and management using AI. Participants will learning to handle and interpret extensive environmental information effectively. This module equips educators with the skills to manage and utilise large information repositories, enhancing their ability to analysis and gain insights in environmental studies.

Module 5: Generating Text

In this module, participants will explore AI tools for generating text-based content, such as educational articles, reports and papers. The session includes hands-on training in using AI for content creation, emphasising how AI can assist in producing informative and engaging materials on environmental topics. This skill is crucial for educators looking to create a diverse array of text resources for their teaching and advocacy work.

Module 6: Creating Images

This module introduces AI applications in environmental photography enhancement and image creation. Participants will engage in a workshop on AI tools for image generation, tailored to environmental contexts. The focus is on harnessing AI to create visually appealing and informative imagery, a vital skill for enhancing the visual appeal and effectiveness of environmental educational materials.

Module 7: Producing Sound and Speech

In this module, participants will delve into the world of AI-generated environmental audio content. The focus will be on using AI to create engaging podcasts, speeches and soundscapes that resonate with environmental themes. Practical exercises will enable educators to harness AI in developing auditory materials, which can be a powerful tool in environmental education, helping to create immersive and impactful learning experiences.

Module 8: Constructing Video

This module explores the techniques for creating AI-scripted video content on environmental topics. It includes a comprehensive workshop on video production using AI, covering aspects like scriptwriting and video editing. Participants will learn how to produce compelling video content, an increasingly important medium in today’s digital landscape, using AI tools. This skill is vital for educators seeking to engage their audience through dynamic and informative video resources.

Module 9: Getting Interactive

Here, participants will be introduced to the basics of AI programming, specifically tailored for environmental applications. The module includes a coding session where participants will understand how to use AI to generate code. This module aims to demystify coding and empower educators with the ability to develop simple AI solutions, enhancing their capability to tackle unique environmental challenges through technology.

Module 10: What is Coming Next

The final module offers a glimpse into the future of AI and its potential impact on environmental education. It involves discussions on upcoming trends in AI technology and how educators can stay updated and adaptable to these emerging tools. The session aims to prepare educators for the evolving landscape of AI in environmental education, ensuring they are well-equipped to integrate future advancements into their educational repertoire.

If you enjoyed this course you may also like Lee's book DKR - Dynamic Knowledge Rendering | hyper-personalised AI which you can get a free digital copy to download.
If you are interested in more in-depth AI education programmes for your team, please contact us at [email protected].