Become the professional who can answer both questions
Your board is asking about AI. Your regulator is asking about climate. AISFC equips finance professionals to deploy AI responsibly across climate risk, nature finance, ESG data, disclosure and transition finance, and to lead that deployment inside their institutions. No coding required.
AI in Sustainable Finance Professional Certification
For sustainability, risk, data and business professionals at banks, insurers and asset managers, and for the leaders who sponsor AI and sustainability work. Finance knowledge is assumed; sustainability and AI knowledge are not.
- Sustainable finance has become an information problem: thousands of disclosures, satellite feeds, transition plans and regulatory texts.
- AI can keep up, but deployed carelessly in a regulated institution it creates exactly the risks supervisors now screen for.
- Professionals who understand both sides are rare. Every module ends with an action you can take at your desk the following week.
Four stages to the AISFC designation
Core curriculum
Six modules for everyone
Specialist pathway
Three modules for your role
Capstone
An AI-enabled initiative for your organisation
Certification
Final exam and designation
Six core modules, for everyone
Every module opens with a real workplace problem, applies the content to your own institution, and ends with an action you can take the following week, with the template to do it.
C1Sustainable finance foundations
By the end of this module you can:
- Explain climate and nature risk in financial terms
- Map the architecture: NGFS, ISSB, TNFD, CSRD, SFDR and the EU Taxonomy
- Translate sustainability drivers into balance-sheet and P&L effects
C2AI fundamentals for finance professionals
By the end of this module you can:
- Distinguish rules, machine learning and generative AI, and match each to finance tasks
- Explain training data, drift, hallucination and evaluation in plain language
- Interrogate an AI vendor claim with a structured question set
C3AI applications across sustainable finance
By the end of this module you can:
- ESG data extraction and climate and nat cat risk modelling
- Portfolio analytics, financed emissions and disclosure automation
- Greenwashing detection, transition-plan assessment and nature data
C4Responsible AI, governance and regulation
By the end of this module you can:
- Apply EU AI Act risk classification to sustainable finance use cases
- Map supervisory expectations for AI model governance
- Design human oversight, explainability and audit-trail controls
C5Data, tools and the vendor landscape
By the end of this module you can:
- Navigate the market for ESG, climate, nature and geospatial data
- Run a build, buy or partner decision
- Design a proof of concept that can fail safely, and budget it realistically
C6Leading change inside your institution
By the end of this module you can:
- Build and pitch a business case for an AI-enabled initiative
- Map stakeholders and their objections
- Choose an operating model and KPIs that survive audit
Then go deep in your own function
Choose one pathway of three modules, built on the decisions, tools and cases from your desk.
Executive Leadership
- Strategy and competitive advantage
- Board oversight and accountability
- Capital allocation and the AI-sustainability investment case
Banking
- AI in climate credit risk and stress testing
- Financed emissions and transition finance at scale
- Disclosure, taxonomy and greenwashing controls
Insurance
- AI in nat cat and physical risk underwriting
- Transition underwriting and liability risk
- Claims, parametrics and the protection gap
Asset Management
- AI-driven ESG signals and portfolio construction
- Stewardship and engagement at scale
- SFDR products, labels and marketing risk
An AI-enabled initiative for your own organisation
You develop your top use case into a complete, board-ready initiative that you can propose to your sponsor the week after certification. You may anonymise your institution and use ranges instead of exact figures.
- A workflow problem in your institution and the AI-enabled solution, with technique and data justified
- Responsible-AI governance: risk classification, oversight, explainability and audit trail
- A quantified business case with honest assumptions
- A 12-month plan with a 90-day pilot, KPIs and kill criteria, presented in 10 minutes
How you earn the designation
| Module quizzes | Six core and three pathway modules, 70% to pass |
|---|---|
| Pathway assignment | Assessed to “Proficient” or above |
| Capstone | Written pack and presentation, 70/100 to pass; 85 for Distinction |
| Final exam | 100 questions in 120 minutes, including scenario and best-next-action items, 70% to pass, two attempts included |
Competency domains
- Sustainable finance foundations
- AI and data literacy
- Applied use-case fluency
- Responsible AI and governance
- Commercial and implementation judgement
- Leadership and change
The AISFC designation, a verifiable digital badge, a certificate and 40 CPD hours, subject to a professional code of conduct on honest representation of AI capabilities and disclosure of AI use. Renewed annually with continuing professional development.
More than a certificate
- The AISFC designation, digital badge and 40 CPD hours
- Toolkits from every module: vendor interrogation checklist, use-case risk assessment, POC charter, business case template
- A board-ready AI initiative for your institution
- A peer network across banking, insurance and asset management
Choose how you take it
€1,650
Full curriculum, one pathway, asynchronous capstone review, exam with two attempts, badge, 12 months’ access
€2,450
Everything in self-paced, plus 12 weekly live case clinics, two one-to-one capstone check-ins and a cohort community
On request
Private cohort, cases tailored to your institution, executive briefing and a capstone readout to management
Fees exclude VAT where applicable. Enrolment dates for the founding cohort are announced to the waitlist first.
Taught from the inside
Led by Artamis founder Diana Díaz Castro, formerly a Programme Supervisor at the UN Environment Programme Finance Initiative, where she led the creation of the Net-Zero Insurance Alliance and other global initiatives. Faculty bring current advisory work with insurers, banks, asset managers and development finance institutions, with guest practitioners in specialist sessions.
Frequently asked
Do I need to code?
No. The programme builds the judgement to commission, govern and use AI, not to build models.
How much time does it take each week?
Four to five hours a week in the cohort edition.
Can my employer pay?
Yes. We invoice employers and provide a short justification letter for learning and development budgets.
What if I do not pass the exam?
Two attempts are included, with a third available for a fee.
Training a team in AISFC?
Private cohorts use cases from your own institution and end with a capstone readout to management. Tell us how many people you would like to certify.