Generative AI (or GenAI)Β refers to a subset of artificial intelligence that creates new contentβ€”such as text, images, audio, video, or codeβ€”based on patterns learned from large datasets. These technologies provide a lot of new opportunities both for personal productivity and for businesses. In corporate and business environments, Generative AI is being leveraged for various tasks including automating workflows, generating business insights, enriching and validating data, enhancing customer service, managing risks, and accelerating innovation. This course will explore how professionals can tap into these advanced capabilities, especially in the space of climate and sustainability.

This is another course in our series "Technology for non-technical people", so this is not a technical courseΒ and no coding is involved. Β It is suitable for anyone who wants to understand the technology capabilities beyond simple queries in ChatGPT, how GenAI is being integrated in business operations, and how it is changing the way we work.

In this course you will learn the basic concepts and definitions related to Generative AI. We will give you an overview of GenAI tools and explain/show how they are used not only for fun, but professionally – to improve your productivity, automate things and enhance the quality of your work. The course will explain the hype around Gen AI agents and Agentic AI. We will cover the choices the companies should make when choosing an enterprise solution. The course provides a range of case studies of GenAI applications in climate and sustainability across various industries. And we will finish the course discussing environmental and ethical considerationsΒ of using GenAI. We will talk about future trends and why GenAI is becoming one of the most demanded skills for employment, and how you can get started with GenAI.Β 

We also invited a number of fantastic greatΒ guest speakers for this course:

1) Elia KabanovΒ - a science writer focussing on sustainability and Artificial Intelligence. Elia is brilliant in explaining complex technical subjects in simple terms and has a strong interest both in sustainability and AI. He is co-hosting this courses with me.

2) Alex Vakhitov - an AI and Software architect with extensive experience as a Chief Technology Officer, who specialises in the digital transformation of the energy sector. He will bring the technology perspective to our course and will talk about his experience of using GenAI in his work.

3) Olga IsakovaΒ - the AIΒ Business implementations expert and Product Manager responsible for Claranet’s Miscrosoft Co-pilot services, which is a great example of GenAI tools. Olga will show us how to use Copilot to boost productivity, automate processes, secure and analyse data. Given that many companies use Microsoft products, this is an essential tool for all sustainability professionals.

Hope you will enjoy our course!

Watch the course trailer

What you will learn

  • Generative AI definitions and key technological breakthroughs that made it possible

  • GenAI tools and mini tutorials for everything you need for your work and maybe more

  • Tutorial on Microsoft365 Copilot

  • What's the hype about AI agents and Agentic AI

  • Key decisions to make when choosing GenAI enterprise solutions

  • GenAI applications and case studies in climate and sustainability

  • Ethical and environmental considerations of GenAI

  • Impact of GenAI on the required skillset across all domains

  • How to get started with GenAI and keep up-to-date

Course curriculum

    1. What is Generative Artificial Intelligence or Gen AI?

      FREE PREVIEW
    2. Artificial Intelligence, Neural Networks, Recurrent Neural Networks (RNNs), LSTM

    3. Generative Adversarial Networds (GANs)

    4. Variational Autoencoders (VAEs)

    5. Diffusion Models

    6. Transformers and Large Language Models (LLMs)

    7. GenAI in business context and emergence of Gen AI agents

    1. Rapidly evolving GenAI Market Landscape and importance of foundational models

      FREE PREVIEW
    2. Convergence and integration of traditional technology with Generative AI

    3. Large Language Models (LLMs) - ChatGPT, Claude, Gemini, Deepseek etc

    4. GenAI tools for generating texts

    5. GenAI tools for knowledge management and research: NotebookLM, PDF Interrogation

    6. GenAI tools for generating images

    7. Gen AI tools for generating presentations and pitches (Gamma, Canva etc)

    8. Virtual Assistants

    9. Introduction to Miscrosoft 365 Copilot

    10. M365 Copilot CHAT

    11. M365 Copilot WORD

    12. M365 Copilot OUTLOOK

    13. M365 Copilot EXCEL

    14. M365 Copilot TEAMS

    15. M365 Copilot POWERPOINT

    16. Who can benefit from M365 Copilot

    17. Frameworks for better prompts (not just for M365 Copilot)

    18. Gen AI tools for prompt engineering

    19. Gen AI tools for generation of training courses and self-learning

    20. GenAI tools for generating websites

    21. GenAI tools for generating code

    22. Tools for automation, AI Agents, Vitual Assistants and Agentic AI: n8n, Make, etc

    1. Choosing GenAI Solution: Enterprise AI vs Open Source AI

    2. Protecting Proprietary Data in GenAI Applications

    3. Training GenAI with proprietary or niche data (RAG, Fine-tuning)

    4. Examples of climate and environmental data for GenAI

    1. GenAI potential in climate and sustainability

    2. Introduction to generative design

    3. Generative design for products and packaging

    4. Generative design for buildings - generative architecture

    5. Generative design in automotive industry

    6. Generatice design tools and benefits

    7. Data simulations for climate and wheather predictions and disaster planning

    8. Data simulations for waste management

    9. Climate and sustainability content creation, research and policy analysis

    10. Climate and Sustainability Visual Storytelling

    1. Environmental footprint of Generative AI

    2. Bias in Generative AI

    3. Privacy, misinformation and copyright

About this course

  • Β£49.99
  • 54 lessons
  • 4 hours of video content

This course is for:

  • Professionals seeking to improve productivity and automate workflows using GenAI tools

  • Business leaders and managers considering enterprise GenAI solutions

  • Sustainability and climate professionals exploring GenAI applications in their sectors

  • Students and early-career professionals looking to develop future-ready skills in GenAI

  • Policy makers and NGO staff interested in leveraging GenAI in an ethical way

  • Individuals curious about GenAI hype, AI agents, and Agentic AI

Why not to buy all our courses?

Power Your Career with Climate and Sustainability Knowledge.

One bundle. Endless impact.

  • Β£250.00

    Full access to all courses

    This bundle includes all Climate Change and Sustainability courses available on this website.

    The programme covers:

    πŸ‘‰ the history and politics of climate change negotiations, including key climate agreements and the developments such as Inflation Reduction Act in the US and Green Deal Industrial Plan in Europe,

    πŸ‘‰ decarbonisation and energy transition, key technologies (renewables, nuclear power, hydrogen, carbon capture and utilisation, long duration storage, etc),

    πŸ‘‰ transport and heavy industry decarbonisation,

    πŸ‘‰ climate and ESG reporting (including introduction to key climate reporting regulations and guidelines, including TCFD, GRI, SBTi and ISSB, deep dive into EU Taxonomy and overview of other EU regulations such as NFRD, SFDR and CSRD,

    πŸ‘‰ net zero strategies and GHG reduction, carbon accounting and e-liability methodologies,

    πŸ‘‰ circular economy,

    πŸ‘‰ business case for corporate sustainability, ESG risks and opportunities, sustainable development, sustainability certifications,

    πŸ‘‰Generative AI practical guide for business and sustainability,

    πŸ‘‰ blockchain applications in climate change, and much more.

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