Tech for Sustainability Workshop: AI, IoT and Data
Design a technology-driven answer to a sustainability problem, and be honest about whether it would actually work.

Time commitment
4–6 hours across 11 days
Format
Workshop · Virtual
Fee
Free to apply
Scholarship
$50
Apply by
26 Sep 2026
Sustainability challenges demand actionable, technology-driven solutions, not just awareness. You explore real-world case studies and design a solution for a sustainability problem of your choice. The focus is integrating technology with feasibility and measurable impact rather than abstract ideas.
During the workshop, you will
- Analyze real-world sustainability challenges using data
- Explore applications of AI and IoT in environmental systems
- Design a technology-driven solution for a specific problem
- Evaluate feasibility, scalability and impact
Frequently Asked Questions
Do I need a technical background in AI or IoT?+
No. The workshop introduces how these technologies are applied to environmental systems through case studies, then asks you to design a solution and assess its feasibility.
How is a workshop different from an internship?+
Around eleven days rather than four weeks, focused on one skill with one output. There's a single completion tier and a smaller scholarship award.
How does the scholarship actually work?+
The scholarship is a tuition award, not a cash payment. If you earn it, it is redeemable against the cost of study at the sponsoring partner university. It is not transferable to another institution and it is not paid out to you directly.
We say this plainly because it is the single thing learners most often misunderstand. If a cash payment is what you're looking for, this program won't provide it, but it is free to take part in either way.
What actually happens in the first week?+
Day one you're placed in a team and given the brief, the materials and a named mentor. By the end of week one you'll have agreed how your team works together and produced your first deliverable. You'll know what's expected of you, and when, before you start.
My teammates will be in other time zones. How does that work?+
Teams are grouped into compatible time zones wherever numbers allow, and the work is built to be done asynchronously, shared documents, recorded updates, and a small number of live checkpoints scheduled with your team.
Most learners tell us the global team was the best part. It's also the part that needs the most coordination, so we plan for it rather than leaving it to chance.
Do I need experience to apply?+
No. These are entry points, not tests, the tools are taught as part of the program. Around a quarter of learners tell us they used a tool for the first time here.
Is it really free?+
Yes. No application fee, no participation fee, and no charge for your certificate or badge. Programs are funded by the sponsoring university or partner organization.
Is this paid work, and does it lead to a job?+
It isn't paid employment and it doesn't guarantee a job. What it produces is a portfolio piece and a Skills Track Record, evidence of what you did, assessed through your work and your team's feedback, that you can show any employer.
Can I take more than one?+
Yes, and many people do, around one in ten learners come back for a second. Trainee level is the usual starting point, with Associate level as the step up.
What do I get at the end?+
A verified digital badge, a certificate of completion, and a Skills Track Record listing the capabilities you demonstrated. Associate-level programs also carry a letter of recommendation.
You might also like

Environmental Social Governance (ESG) Benchmarking Remote Internship
The analytical, reporting and advisory skills used in real sustainability consulting.
4 weeks · Apply by 6 Oct 2026
4 weeks · Apply by 6 Oct 2026
View details
Geospatial Data & Disaster Response Challenge
Work with maps, datasets and simulated scenarios to design disaster response strategies.
Apply by 17 Oct 2026
Apply by 17 Oct 2026
View details
No-Code AI Lab: Build, Train and Test Without Coding
Build functional AI solutions without writing code, using tools like Teachable Machine, Runway ML and Google AutoML.
80 hours · Apply by 25 Dec 2026
80 hours · Apply by 25 Dec 2026
View details