Programme
Artificial Intelligence for Banking in Albania
A six-stage professional learning programme for banking operations, customer service, compliance and risk staff. It covers accountable AI use across customer and branch work, payments and reconciliation, AML and KYC, credit and risk analysis, and evidence-based quality control. It is not an accredited programme and does not create a banking licence or qualification.
- Courses
- 11
- Estimated study time
- 88 hours
- Assessment
- A learning programme.
Study time is an estimate for planning; it has not been measured with participants.
Who it is for and what you take away
Who it is for
Banking operations, customer-service, payments, compliance, AML/KYC, credit and risk professionals working in or with the Albanian banking sector.
What you take away
After the learning stages you can draft and check customer correspondence with AI, keep operations and compliance records complete, analyse risk data without exposing personal data, and recognise where a person has to make the decision.
- A practical task at the end of every course, which you do yourself and keep as evidence of your work.
- Your completion of each course, recorded in your account on the learning platform.
Courses and sequence
- 01
Banking operations AI: Orientation
The role of a banking operations manager and what AI changes in KYC and AML, credit, payments and reconciliation, without handing the tool responsibility for decisions. - 02
Banking operations AI: Workflow
The daily workflow of a banking operations manager with AI: KYC and AML, credit, payments and reconciliation, with a human check at every step. - 03
Banking operations AI: Documents and communication
Communicating with customers, reporting to the Bank of Albania and banking documentation with the help of AI, all checked by a professional: no invented facts and no personal data in public tools. - 04
Banking operations AI: Data and analytics
Banking analytics: reporting on the internal capital adequacy assessment (ICAAP), expected credit losses under IFRS 9 and anti-money-laundering (AML) indicators, each with a stated source and a check before any decision. - 05
Banking operations AI: Quality and evaluation
Quality and evaluation for a banking operations manager: criteria for judging AI output, a second review, and the mistakes typical of this work. - 06
Banking AI: Orientation
An orientation course for banking professionals on the use of artificial intelligence in banking operations: the regulatory framework, customer correspondence and verification against fabrication. 6 lessons. - 07
Banking AI: Customer correspondence
Banking correspondence with the customer with the help of artificial intelligence: email, notices, contracts and multilingual communication, always with verification. 6 lessons. - 08
Banking AI: Payments, reconciliation and exceptions
Working with payment instructions, reconciliations, exceptions, disputes and incidents, with evidence that can be checked and escalation to the person responsible. AI helps with documentation and comparison; it authorises nothing. Six lessons; for each about 20 minutes of reading and about 60 minutes of practical exercise, about 8 hours in all. - 09
Banking AI: Anti-money-laundering (AML) compliance
Anti-money-laundering compliance with the help of artificial intelligence: suspicious activity reports, enhanced customer due diligence, transaction monitoring and thresholds. 6 lessons. - 10
Banking AI: Risk analytics
Banking risk analytics with artificial intelligence: credit models, IFRS 9, stress tests, non-performing loans (NPL) and reporting. 6 sessions. - 11
Banking AI: Preparation for assessment
The closing sessions of the banking programme: the synthesis of the four weights, Reputation, Money, Liberty and Capital, with exercises that prepare your reasoning for the independent assessment, not only your answer. 6 sessions with interactive materials and quizzes. The assessment itself stays separate from the learning.
Assessment and qualification
The learning checks inside the courses are formative and qualify no one. Qualification is a separate, optional route: two human assessors review a sample of your work against the published rubric, and no AI takes part in the decision.
Pending professional ratification: the rubric used in the optional human assessment has not yet been signed by practising professionals in this field. Until it is, the programme is published as a learning programme.
A qualification is not a professional licence and does not guarantee work.