ClimateFluent
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Inaugural cohort · Starts Thu 12 November 2026 · Applications close 15 October 2026

Build an emissions inventory, a report and an EcoVadis pack. By hand, then with Claude.

A 6-week live programme for working sustainability practitioners. You leave with a greenhouse-gas (GHG) inventory, a Global Reporting Initiative (GRI) report section and an EcoVadis supplier-rating pack, all built by you. The work instructions Claude followed are yours to keep.

Format6 weeks · 12 sessions · 36 hrs
WhenThu + Sun evenings, India time (clock time to be confirmed) · 3 hrs each · Starts 12 Nov
Fee$900
Apply for a seat 2 minutes. You hear either way within five working days.

Applications close 15 October 2026, or when the cohort is full. Employer paying? We raise a GST invoice for reimbursement. Fees are non-refundable; one free deferral to the next cohort if you ask before Week 2 (terms).

Capped cohort · By application only

Cohort 1 is capped, by application, not open registration. Starts Thursday 12 November 2026. We read applications in the order they arrive.

The fee is $900.

Step 1 · 2 minutes
Written application

Name, email, company, and one question about which module you need next. Honest beats polished.

Step 2 · 5 working days
Decision and fee

Both mentors read every application: accept, accept with named pre-work, or defer to Cohort 2 with the reason.

Your seat is confirmed when you pay the fee: $900. Cohort 2 will be priced separately. Invoice for employer reimbursement.

See it done

The same work. By hand, then with AI — and verified.

Every teaching week ends with a timed manual build. The lab week rebuilds the same work in Claude, from only the standards and factors you load. The method transfers to any tool.

See a sample of the Week 2 work →

What stays manual

  • The boundary decision, and defending it
  • Which Scope 3 categories (the emissions in your value chain, outside your own operations) are material
  • Sign-off. The model is never the sign-off.

What the AI does

  • Profiles the messy workbook and lists what's missing
  • Maps a 4,000-line ledger to scope and category, with a confidence flag
  • Runs the arithmetic in executed code, citing a factor row per line

What you verify

  • Recompute three sampled lines by hand
  • Check every factor's provenance
  • Reconcile totals; find the silently filled gap

Who this is for

For you if

  • You are an ESG manager, reporting lead, sustainability consultant or EHS (environment, health and safety) professional. Or you're building a career where sustainability and AI meet.
  • You have tried ChatGPT or Claude on real work and want to know exactly where the line falls.

Not for you if

  • You want the certificate more than the work. This cohort is assessed on three builds, not on attendance.
  • You want a tool built for you. This builds your capability and a reusable workflow, not software.

What you'll build

Three frameworks. One running case.

Everything runs on one fictional company, Meridian Textiles. The number you calculate in Week 2 is the one you disclose in Week 4 and evidence in Week 6.

See the full week-by-week curriculum →

How a week runs

Two three-hour live sessions — Thursday and Sunday evenings, India Standard Time (IST) — a small take-home between them, written feedback on every assessed build. About eight hours a week including the reading.

Thursday, take-home, Sunday, feedback: what happens when
  1. Thu evening
    3 hours
    Live sessionTeaching week: the standard, the judgement calls, worked examples on Meridian. Lab week: both mentors rebuild the work with Claude in front of you, with a deliberate failure for the room to catch.
  2. Between
    ~2 hours
    Take-homeIssued Thursday, due Sunday. Small by design: classify thirty ledger lines, complete a GRI 2 table, map evidence to criteria.
  3. Sun evening
    3 hours
    Timed exercise or assessed labTeaching week: a manual build, timed in front of the class. Lab week: you build your own, document every iteration, and present it. Assessed. Not recorded. Cannot be made up.
  4. Within days
    Written feedbackTechnical correctness from the sustainability mentor; iteration quality and workflow design from the AI mentor. Two marks, recorded separately.

What you'll be able to do by the end

Six outcomes: GHG, GRI, EcoVadis, the rebuild, catching AI errors, one dataset
  • Build a Scope 1, 2 and 3 inventory for a multi-site company from raw utility bills and a purchase ledger. It comes with a factor library, an assumptions log and a calculation trail an assurer can follow line by line.
  • Run a GRI materiality assessment. Write GRI 3-3 and topic disclosures for emissions, water and health & safety. Produce a content index that passes review, choosing correctly between in accordance with and with reference to.
  • Prepare an EcoVadis submission. Map a 40-document evidence pile to the activated criteria, predict which documents will be rejected and why, and build a costed, sequenced roadmap.
  • Rebuild all three workflows with agents you wrote the rules for: standards loaded, calculation in executed code, a citation on every line. Time it against your own manual benchmark.
  • Catch the four ways AI-assisted reporting goes wrong: an invented emission factor, arithmetic done in prose, a plausible mis-mapped ledger line, a confidently filled data gap. Use a verification protocol you can hand to a colleague.
  • Answer India's Business Responsibility and Sustainability Report (BRSR), the ISSB climate standard (IFRS S2), a customer questionnaire and an EcoVadis assessment from one governed dataset. Leave with reusable skills and agents, and a written standard operating procedure (SOP) for next year.

Mentors

Two leads, one problem

Aayush Anand

Aayush Anand

Sustainability mentor · teaches all twelve sessions

India's 5th SBTi Certified Professional. ISO 14064 lead verifier. 1,000+ practitioners trained. Energy and GHG work across 50,000+ telecom assets. The final word on whether an output would survive an assurer or a buyer audit. Faculty and reviewer for IICA, IIT (ISM) Dhanbad, MNRE and the IPCC.

LinkedIn ↗

Yashaswi Pathak

Yashaswi Pathak

AI mentor · teaches the lab weeks

Head of AI, building production systems on messy operational data. Published at ICML and AAAI. He marks whether you caught the invented factor, not whether the prose looked fluent. On the floor through every Sunday lab for 1:1.

LinkedIn ↗ · Google Scholar ↗

What you leave with

A certificate you can verify

Reach a 60% aggregate mark and submit the capstone: we issue a dated certificate with a unique ID, signed by your mentor. Anyone can check it against our register.

  • Issued as a print-ready PDF and a shareable link
  • Names the cohort, the dates and the three frameworks
  • Permanent ID and QR code at climatefluent.com/verify
View sample (PDF)Verify a certificate
Sample

Sample only — names, dates and IDs are illustrative.

Questions

How do you choose?

Both mentors read every application. We are looking for one thing: that you do this reporting work now and have a deadline the six weeks can serve. It is calibration, not gatekeeping — there is no test, and "I have not done this before" about the AI half is a perfectly good answer. You hear either way within five working days.

How much time does it really take?

Two three-hour live sessions a week plus roughly two hours between them. Six weeks. Missing a teaching week is recoverable from the recording; missing its lab week is not.

What if I can't attend a Sunday?

The three Sunday labs in Weeks 2, 4 and 6 are assessed, not recorded, and cannot be made up. If you can't commit to them, say so in your application and we'll point you at Cohort 2 — better that than a seat you can't use.

What do I need to know already?

Working knowledge of Excel and familiarity with corporate sustainability terminology. No coding. No prior AI experience — the setup clinic before Week 2 gets everyone's account and workspace working.

What tools do I need?

A laptop, Google Meet, Excel or Sheets, and a paid Claude account from Week 2 onward (about ₹2,000/month). We tell you exactly which plan before the setup clinic.

Can I use my own company's data?

Yes, and we'd rather you did — redacted is fine. If confidentiality rules that out entirely, you work on the Meridian case for every exercise. We agree this at offer stage so nothing surprises you in Week 2.

What does it cost?

$900 — fees are set by region, so the figure shown is the one that applies to you. Cohort 2 will be priced separately. You pay only after you are offered a place, against an invoice your employer can reimburse. Fees are non-refundable; see terms.

What is the refund policy?

Fees are non-refundable — seats are limited and held for you from the moment you pay. If you can't attend, you can ask once to defer to the next cohort at no charge before Week 2 begins. Exceptional circumstances are reviewed on request at hello@climatefluent.com. Full terms: Terms & refunds.

Do you offer scholarships?

Yes — a small number of need-based places. The full fee is $900. Tick the box in the application and tell us what percentage you would need and what you could comfortably pay. We read those alongside everything else and come back to you.

Cohort 1 · Starts Thursday 12 November 2026

Apply in two minutes

One question. A reply within five working days.

$900 · Applications close 15 October 2026 · Nothing to pay until your seat is confirmed

What we ask

  • Name, email, company
  • One question: which module you need in the next six months, and why

Confirmation now, a decision within five working days.

Cohort 1 · Thu 12 Nov 2026
$900
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