AI in FinTech & Open Banking Innovation Treningskurs

AI is transforming how financial institutions assess creditworthiness, price risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

By the end of this training, participants will be able to:

• Understand key AI methods used in credit scoring and risk prediction.
• Build and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI is transforming how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.

By the end of this training, participants will be able to:

• Understand AI use cases in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Leverage graph-based AI for network risk detection.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI i finansielle tjenester er en strategisk drivkraft for risikoreduksjon, kundeeopplevelse og operasjons effektivitet.

Denne instruktørledede live-utdannelsen (online eller på stedet) er rettet mot ledere i finansielle tjenester, fintech-managere og etterlevelsesansvarlige med begrenset tidligere erfaring med kunstig intelligens som ønsker å forstå hvordan de kan implementere AI-løsninger på et ansvarlig og effektivt måte i sine institusjoner.

Ved slutten av denne utdannelsen vil deltakerne være i stand til:

• Forstå den strategiske verdien av AI i finansielle tjenester.
• Identifisere og minske etiske risikoer knyttet til AI-modeller.
• Navigere i det regulerende landskapet for AI i finans.
• Utforme rammeverk for ansvarlig AI-styring og implementering.

Formatet på kurset

• Interaktiv forelesning og diskusjon.
• Analyse av cases og gruppeøvelser.
• Anvendelse av etiske rammeverk på realistiske finansielle scenarier.

Muligheter for tilpassing av kurset

• For å be om en tilpasset utdannelse for dette kurset, ta kontakt med oss for å avtale.

Artificial Intelligence is a powerful set of techniques used to develop intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply AI techniques in trading and asset management, focusing on signal generation, portfolio optimization, and algorithmic strategies.

By the end of this training, participants will be able to:

• Understand the role of AI in modern financial markets.
• Use Python to build and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI is transforming WealthTech by enabling highly personalized financial services, intelligent advisory platforms, and enhanced user experiences.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services.

By the end of this training, participants will be able to:

• Understand how AI is applied in wealth management and digital advisory platforms.
• Design intelligent systems for personalized portfolio recommendations.
• Incorporate behavioral finance data and preferences into advisory algorithms.
• Evaluate ethical and regulatory concerns in automated investment advice.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Applied AI introduserer nye nivåer av effektivitet og intelligens i måten finansielle fagfolk analyserer og rapporterer om bedriftsprestasjoner.

Denne instruktørledede, live treningen (online eller på stedet) er rettet mot finansielle fagfolk på mellomnivå som ønsker å integrere AI-verktøy i sine regnskapsoppgjørarbeidsflyter for å øke nøyaktigheten, automatisere gjentatte oppgaver og få fremskrittende innsikter.

Ved avslutningen av denne treningen vil deltakerne være i stand til å:

• Automatisere dataekstraksjon fra finansielle dokumenter ved hjelp av AI-verktøy.
• Bruk maskinlæringsmodeller for å analysere trender og unormaliteter i regnskap.
• Bruke generativ AI for å bistå i varianskommentarer, narrative rapporter og scenariosimulering.
• Tolke AI-genererte utdata ansvarlig i forbindelse med finansiell rapportering og planlegging.

Format på kurset

• Interaktiv forelesning og diskusjon.
• Mange øvelser og praktiske øvelser.
• Hånd på i et live-lab-miljø.

Tilpassingsalternativer for kurset

• For å be om en tilpasset trening for dette kurset, ta kontakt med oss for å avtale.

Generative AI is a class of artificial intelligence techniques used to generate new content or predictions from existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level finance professionals who wish to apply generative AI for forecasting, anomaly detection, and compliance in financial services.

By the end of this training, participants will be able to:

• Understand the foundational concepts behind generative AI models.
• Apply LLMs and GANs to use cases such as fraud detection and synthetic data generation.
• Design effective prompts for financial forecasting and reporting support.
• Evaluate ethical and regulatory considerations in generative AI applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Machine Learning is a subset of Artificial Intelligence focused on creating systems that learn from data and make predictions or decisions without being explicitly programmed.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply machine learning and AI techniques to real-world problems such as fraud detection, credit scoring, and risk modeling.

By the end of this training, participants will be able to:

• Understand the core machine learning concepts relevant to finance.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Build and evaluate predictive models for credit risk, fraud detection, and market analysis.
• Use Python and scikit-learn to implement machine learning pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.