​GenAI for Sustainability Practitioners
Practical, responsible use of generative AI for sustainability work for individuals, teams, and organisations.​
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Live, practitioner-led programme | Policy-aligned | Sustainability-specific​​​​​
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Who this programme is for​
This programme supports sustainability work at different levels of practice.
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Individual sustainability professionals building hands-on AI capability
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Consultants, advisors, and independent practitioners
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Teams seeking shared standards for responsible AI use
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Organisations looking to align AI practice with policy and governance
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Academic and professional education contexts (on request)
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About the programme
Generative AI is already being used in sustainability work, often informally, inconsistently, and without clear boundaries. This programme provides a structured, practical way to build capability while keeping judgement, accountability, and ethics front and centre.
Sessions focus on real sustainability workflows including research, analysis, writing, synthesis, and communication. AI is treated as a support tool, not a substitute for expertise.
The programme is delivered live and emphasises learning over time, allowing participants to test, reflect, and embed new practices between sessions.
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Participant feedback
Average learner rating: 4.7/5​
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“This course fundamentally changed how I think about using AI in my work work, not just how to use it, but when not to.”
— Sustainability consultant
“Gary is so engaging in his style and with a deep knowledge of AI which he shares with jargon-free humanity and joy.”
— ESG advisor
“The course is a rare and valuable combination of AI and sustainability. I liked the group work and the opportunity to observe each team’s prompts, and the cases were relevant to my work."
— Climate and impact practitioner
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Participants include experienced professionals working across:
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Sustainability and ESG consulting
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Climate, energy, and transition strategy
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International development and systems change
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Corporate sustainability leadership
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Research, policy, and thought leadership
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Participants to date have primarily joined as individuals, including consultants, founders, and senior practitioners from a range of organisations. In some cases, individuals from the same organisation have joined public cohorts. For team-wide capability building, a tailored organisational programme is recommended.
For individual learners
Join a live cohort-based programme designed to help you apply generative AI responsibly in real sustainability work.
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Live, interactive sessions
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Practical exercises between sessions
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Focus on judgement, ethics, and quality
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Access to a peer group of experienced practitioners
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Want to see the full session breakdown before registering?
For teams & organisations
This programme can be delivered to intact teams or groups within an organisation and can also be used to reinforce internal AI guidance and future plans.​
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Cohort size typically 10–20 participants
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Content tailored to your sustainability workflows
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Fully aligned to your AI policies and approved tools
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Supports consistent, defensible AI use across teams
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For a structured overview of delivery options and use cases:
About the Instructor​
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Gary Sharkey is a senior sustainability and technology practitioner with over 25 years of international consulting experience across more than 40 countries. He created this series for a friend who asked for help navigating AI in their sustainability work. When other friends asked if they could join too, he realised there might be broader interest. And if even friends are curious, there's probably a real need.
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He previously founded and led PwC’s global Sustainability Academy, training nearly 200,000 professionals worldwide, and led the firm's effort to build a generative AI-enabled sustainability knowledge platform for professional upskilling worldwide.. His work focuses on translating emerging technologies into disciplined professional practice under real commercial, ethical, and regulatory constraints.
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This programme reflects that approach: practical, grounded, and accountable.
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