Name: AI in Financial Services
Availability: InStock

AI in Financial Services

A focused beginner friendly course for financial professionals and technologists on using AI safely and effectively in banking, insurance, and capital markets. Participants learn where AI adds value, how to manage risks, and how to plan an ethics and regulation aware roadmap.

What will you learn?

You will recognize high value use cases, understand fairness and explainability expectations, set up light governance, and outline a practical plan that fits your institution.

After this training you will be confident in:

Explaining how AI supports fraud controls, credit decisions, customer insight, and operations
Describing fairness, transparency, and accountability expectations for financial AI
Outlining a simple AI governance model with roles and controls
Drafting a first roadmap that aligns strategy, risk, and regulation

Requirements:

Familiarity with basic financial products and processes
Interest in risk, compliance, or data driven initiatives
Bring a few non sensitive examples from your organization

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

Module 1: AI as a value driver in financial institutions

Where AI helps today fraud alerts, credit scoring support, service personalization, process automation
Balancing business outcomes with model complexity and operating cost
Data readiness signals quality, lineage, and access patterns
Quick map of stakeholders across business, risk, compliance, and IT

Module 2: Responsible AI in practice ethics and regulation

What responsible AI means in finance fairness, transparency, accountability
Typical bias sources in data and models and ways to mitigate
Explainability that meets model risk and supervisory expectations
Regulatory landscape at a glance EU AI Act, model risk guidance, local rules

Module 3: Governance and risk management for AI

Lightweight operating model roles for product, data owners, model risk, compliance
Policies and controls model inventory, approvals, monitoring, change records
Third party oversight vendor selection, performance and conduct clauses
Documentation that stands up to audit facts, decisions, and evidence

Module 4: From idea to roadmap

Success factors skills, culture, infrastructure, and change management
Case snapshots fintech lending, risk modernization in banks, robo advice guardrails
Common pitfalls and recovery patterns unclear ownership, weak monitoring
Draft a simple roadmap goals, guardrails, milestones, and communication plan

Hands-on learning with expert instructors at your location for organizations.

2.322€*