Team Workshop
AI Skills for
Your Team
A two-day private workshop where every participant configures AI around their actual role, builds one real output, and leaves with a 30-day plan for what changes at the team level.
Virtual · Up to 25 participants · Starting at $750/seat
What your team leaves with
Terra.do has trained 10,000+ professionals across 90+ countries.
Two days to working AI workflows.
Every participant configures AI for their role, builds one real output, and leaves with a 30-day team plan. Bring your own data or use vetted climate datasets we provide.
Day 1 · 6 hours
Set up your AI for real
Context engineering, responsible use, and prompt techniques, all applied to your actual work.
Workspace Setup
Your AI knows your work before you ask
Context engineering, global instructions, and memory: each participant builds an AI workspace tuned to their role and domain.
Blank chat
"Write a climate risk assessment"
Climate risks generally include physical risks such as extreme weather events, transition risks including policy changes…
Your project
"Write a climate risk assessment"
Per your CDP disclosure and TCFD framework, your Scope 3 supply chain exposure flags 2 material risks in your Q1 draft…
Responsible Use
Know the costs, verify every output
Environmental footprint, data bias, power concentration: the full picture, plus a three-layer verification system your team can apply to any AI output.
AI output
"A 2023 World Bank study found carbon pricing reduced emissions by 23% across 45 countries.*"
*World Bank Climate Report, 2023
Prompt Engineering
Prompts that compound
Context loading, prompt chaining, few-shot examples, and iterative refinement. Four techniques that work across Claude, ChatGPT, and Gemini.
Day 2 · 4 hours
Build something real, then test it
Track split by work type. Peer review across tracks. A 30-day team plan before the room clears.
Track A · Data → Insight
Build a chart that makes a case
Find real climate data, clean it, identify the hero metric, and build a visualization with a finding-based title and expert annotation.
Generic (window)
"GHG Emissions by Sector, 2019–2023"
"Transport stalled. Power cut 18%. The policy gap is widening."
↑ anomaly flagged at week 5 · annotation added
Track B · Comms → Land
One finding, five audiences, five assets
Value framing, audience targeting, and a five-stage pipeline from raw research to a published, platform-ready piece.
Finding: Urban areas 8°F hotter, 1,200+ deaths/year
Continuity
A 30-day plan before the room clears
Four things every participant ships.
Every outcome is built during the workshop and exists in a tool participants open on Monday morning. Bring your own documents or use the climate datasets we provide.
Configurable AI for your organization.
Every team works with a custom AI setup built around their actual roles, standards, and workflows. That's where the workshop starts.
Tangible outputs you use on Monday.
Data visualizations, communication assets, policy drafts. You build real artifacts during the session and integrate them with your day-to-day work.
Tool-agnostic frameworks.
Claude, ChatGPT, or Gemini? The core techniques and frameworks are tool-agnostic, so your team stays effective regardless of which tools you adopt.
A 30-day role-based roadmap.
Your team will leave with specific next steps mapped to each role. You build the plan together so it ships with shared ownership.
What we hear
AI adoption challenges teams solve
We built this workshop because the same challenges come up across teams of every size. Here are the four we hear most.
Schedule a conversation →“We adopted Claude, and now we need the next level”
Your team has the tools. The 101 training is done. Now you need to build real workflows around your actual work.
“AI needs to align with our values”
You want competitive advantage through AI and you want it done responsibly. The ethics are the whole point.
“Everyone needs to be able to participate”
Marketers, strategists, ops people, and leadership all need practical AI tools at every skill level.
“This is a culture investment, not just skills training”
You see this as a shared experience across a hybrid team. A way to build common language and confidence together.
4.8/5
Highest rated.
Studio participants rate Terra's AI training above every alternative they've tried. The bar is high because it connects to real work.
82%
Shipping actual outcomes.
Studio participants ship real prototypes during the workshop. That includes the ones who walked in unsure about AI.
60%+
Deep domain focus.
Studio learners come with deep domain understanding in climate. The AI skills layer on top of what they already know.
What studio participants say
Pricing
Tiered so frontline climate organizations can access the same training as well-resourced institutions.
The Workshop
2 days · per seat or flat fee · up to 25Corporate
$1,500
per seat · $20K flat
Companies, financial institutions, consulting firms
Mission
$750
per seat · $12K flat
Nonprofits, NGOs, B-corps, government, multilaterals
Emerging Economies
$500
per seat · $6K flat
Organisations headquartered in developing countries
The Intensive · 8 weeks · per seat · min 5
Interested in the Intensive as a team?
Your team joins the full 8-week Terra Studio program together. Starting at $750 per seat.
Workshop → Intensive credit: $500 off per seat when teams upgrade from the Workshop.