Learn AI by building real climate projects with a global cohort.
Each week you learn a new AI skill and build a working project around it. After eight weeks you have a portfolio, a global network, and a residency where you apply those skills with real climate organizations.
Apply to May CohortCohort starts: May 26, 2026
Application Deadline: May 22, 2026
Trusted by climate professionals at
Bridge the gap between climate knowledge and climate doing
An eight-week intensive with weekly live labs, expert masterclasses, partner projects, and a year of community access. Everything is built around real climate work.
Learn more about our take on responsible AI →
A Global Community of Practice
7,000+ members, 85+ countries, 200+ founders. Your cohort becomes your squad. The community stays with you for a year.
Build with Responsible AI
Week 1 starts with the risks: bias in climate datasets, the carbon footprint of compute, and the failure modes that erode credibility. You build a governance framework your organization can use immediately.
Master the Modern AI Stack
Prompting, context engineering, data pipelines, agentic workflows, and no-code deployment. Each skill is taught through a climate project you build that week.
Expert-Led Masterclasses
Every week features a guest masterclass from someone building with these tools in climate right now. Past speakers include researchers from Climate Central, founders in climate fintech, and behavioural scientists working on AI-assisted sustainability.
A Global Community of Practice
7,000+ members, 85+ countries, 200+ founders. Your cohort becomes your squad. The community stays with you for a year.
Build with Responsible AI
Week 1 starts with the risks: bias in climate datasets, the carbon footprint of compute, and the failure modes that erode credibility. You build a governance framework your organization can use immediately.
How it works
An architecture for AI-powered climate solutions
The core Intensive runs eight weeks: seven weeks of AI skills and builds, plus an Integration Week at the midpoint. You join a small squad and ship a tangible artifact each week, culminating in a user review and demo day.
Apply NowApplication Deadline: May 22, 2026
A live cohort of professionals from across the globe, with weekly labs and a year of community access after graduation.
The foundation everything else builds on. Bias in climate datasets, the environmental footprint of compute, and the guardrails that keep your builds credible.
Learn how to work with data using AI. Find, clean, and interrogate public climate datasets, then turn what you find into visuals that hold up to scrutiny.
Design AI agents that monitor funding opportunities, route research, and automate the recurring tasks that eat your week.
Participatory storytelling that reaches people who aren't already aligned. Narrative structure, audience science, and AI as your production engine.
By week 8 your build is in front of real users at a climate organization. No engineering background required to get there.
Learn from practitioners shipping change-making products
The Studio faculty are building AI tools for climate full-time. Everything they teach comes from work they are doing right now.
Anshuman Bapna
Founder & CEO, Terra.do
Serial entrepreneur who has built and sold multiple technology companies. Founded Terra.do to get 100 million people working on climate. He sees AI as the tool that makes that timeline possible.
Nilesh Bansod
Head of Product & COO, Terra.do
Leads product and operations at Terra.do, building the platforms that connect the global climate workforce. Deep experience in product management and scaling tech solutions, with a builder-first approach to applying AI for climate impact.
Bodhi Debnath
Head of Growth, Terra.do
Connects AI learning and climate action at Terra.do. Combines full-stack development with product-led growth to turn complex technology into tools and stories that help climate professionals ship faster.
The curriculum
Every week you learn a concept and build something real. Week 5 is a skill-free Integration Week to catch up and consolidate. By week eight you have a portfolio of working projects.
Application Deadline: May 22, 2026
Responsible AI
The Concept
The ethics, bias, and environmental footprint of AI, paired with the climate problem you want to solve.
The Build
AI Risk Policy + Problem Brief. Design a governance framework for responsible AI and define the climate problem you'll spend 8 weeks solving.
AI as Thought Partner
The Concept
Move from 'intern' tasks to strategic synthesis. Build the prompt, context, and memory habits that compound across every week that follows.
The Build
Strategy Copilot. Configure an assistant to read 50+ reports and extract decision-ready insights.
Data Insights & Visualization
The Concept
Finding, cleaning, and interrogating public climate datasets. Turning what you find into visuals that communicate clearly.
The Build
Data Audit + Chart. Turn a messy public dataset into three defensible insights, each backed by a clear visual.
Storytelling and AI
The Concept
Participatory storytelling that reaches people who aren't already aligned.
The Build
Audience-First Artifact. A post, pitch, or infographic that reframes your finding for a specific reader.
No new AI skills to learn. A full week to catch up, consolidate, get 1:1 time, and run peer reviews on what you've built. — Consolidation. Close out your Problem Brief, Data Audit, and Audience-First Artifact. Breathe. Then head into the build-heavy back half rested.
Agentic Workflows
The Concept
Designing autonomous loops for monitoring, research, and the work you already do.
The Build
Custom Skill or Agent. Build a skill that automates a recurring task in your climate work.
Shipping to the Real World
The Concept
No-code builders, web deployment, and closing the last-mile build-to-user gap.
The Build
Public Prototype. Ship something someone outside the course could open in a browser and understand in 30 seconds.
Bridging the Deployment Gap
The Concept
Why most builds die between 'it works on my laptop' and 'a real user can use it.' The paths forward once yours doesn't.
The Build
User Review + Path Forward. Put your build in front of real users, absorb the feedback, and decide what's next — park it, keep building, or go deep.
Weekly schedule
A steady rhythm of live sessions, office hours, and async work.
| Tue | Wed | Thu | Fri | Sat | Sun | Mon |
|---|---|---|---|---|---|---|
Live Class 8:00–9:30 am PT | Office Hours 8:00 am PT Office Hours 8:00 pm PT | Demo Day 8:00–9:00 am PT | ||||
Assignments | ||||||
Reading materials for next week | ||||||
Async continuous support | ||||||
Join an Open House
A live walkthrough of the curriculum, the weekly rhythm, and what Cohort 1 built. The faculty answer questions throughout.
Thursday, May 7
8:00 AM PT / 11:00 AM ET
Or watch a past session recording
Quick Answers
What kind of time commitment should I expect?
6 to 10 hours per week. The Tuesday live lab is the only fixed time. Everything else is async coursework and project work on your own schedule.
Do I need coding experience?
No technical skills required. We teach everything from scratch with hands-on projects. If you can navigate a spreadsheet or write an email, you have the skills to start.
What will I build?
Real AI-powered projects: datasets, dashboards, agents, and prototypes for climate action. Tools you can use in your work immediately.
Who are the instructors?
Terra's leadership team and guest practitioners who are building AI tools for climate full-time. Every masterclass comes from someone doing this work right now.
What happens after the 8 weeks?
A full year of community access with ongoing masterclasses, networking, and project work with leading climate organisations.
What learners said after building with us
Join a global community of changemakers
7,000+ climate professionals across 85 countries, including 200+ founders. Your cohort becomes your working group during the intensive. The broader community stays with you for a full year after graduation.
Attend live, intimate sessions with leading climate scientists, founders, and AI practitioners building tools for the field right now.
How Can Trustworthy Data and AI Accelerate Climate Action?
Transform Geospatial AI Insights into Measurable Impact
How AI and Machine Learning Will Transform Weather and Climate Forecasting
Past masterclasses have featured leaders from Google, NASA, IPCC, and more.
One price, all access
50% off for Terra.do fellows. Need-based financial aid and PPP pricing available.
8-Week Intensive
Eight weeks of builds. Each week ends with a working project you can use immediately.
Partner Projects
Live project briefs from climate organisations. Build with real data for real stakeholders.
1 Year Community Access
Events, masterclasses, demos, and a 7,000+ member global network that stays with you after graduation.
Frequently Asked Questions
No technical skills required. We teach everything from scratch with hands-on projects. If you can navigate a spreadsheet or write an email, you have the skills to start.
Climate professionals, researchers, policy makers, and anyone working on climate solutions who wants to use AI to accelerate their work. No coding background required.
Everything is in the context of climate. The projects are real, the partners are real organisations, and the community stays with you for a year after graduation.
6–10 hours per week. The Tuesday live class is the only fixed time. The rest is async coursework and project work on your own schedule.
No. We cover the full modern AI stack — prompting, agents, data pipelines, visualisation, and no-code deployment — all applied to real climate problems.
We offer need-based financial aid, PPP pricing, and 50% discount for Terra.do fellows. Reach out to us directly — we want to make this accessible.
Learn AI by building real climate projects with a global cohort.
Join a global cohort of climate professionals learning AI by building together. Each week ends with a working project you can use immediately.
Cohort starts May 26, 2026
Application Deadline: May 22, 2026