AI for Finance Training in Oslo

AI in Financial Services is revolutionizing how institutions handle risk, strategy, compliance, and customer experience.

This instructor-led, live training (available online or on-site) is designed for intermediate-level financial and technology professionals who want to understand the impact of AI on strategy, ethics, and regulation in the financial sector.

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

• Grasp the strategic applications of AI in financial services.
• Assess the ethical and regulatory implications of adopting AI.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational goals and compliance requirements.

Format of the Course

• Interactive lectures and discussions.
• Case studies and group exercises.
• Practical analysis of real-world AI regulatory frameworks.

Course Customization Options

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

This instructor-led, live training in Oslo (online or onsite) is aimed at intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Understand the role of AI in financial automation and fraud detection.
• Build AI models for detecting fraudulent transactions.
• Leverage machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Ollama is a lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize Ollama-based AI solutions in financial settings.

By completing this training, participants will acquire the skills necessary to:

• Deploy and configure Ollama to ensure secure use in financial operations.
• Integrate local language models into analytical and reporting processes.
• Adapt models to specific financial terminology and tasks.
• Implement best practices for security, privacy, and compliance.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises with financial data.
• Live-lab implementation of finance-focused scenarios.

Course Customization Options

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

Artificial Intelligence is a technology that enables the creation of digital products with sophisticated data-driven features and personalized customer experiences.

This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is designed for intermediate-level banking professionals who want to effectively design, develop, and deliver AI-powered digital products.

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

• Identify customer needs and articulate a clear product vision.
• Leverage AI technologies to enhance digital banking solutions.
• Utilize agile and design thinking methodologies to create user-centered products.
• Evaluate, refine, and optimize product performance for sustained value.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshops with case studies.

Course Customization Options

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

Copilot for Microsoft 365 is an AI-driven assistant that seamlessly integrates with Microsoft Office applications, designed to boost productivity, streamline reporting, and aid decision-making for finance and accounting professionals.

This instructor-led, live training (available online or on-site) is tailored for finance and accounting professionals who have limited experience with AI but are looking to harness the power of Microsoft Copilot to enhance accuracy, efficiency, and insights in their financial tasks.

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

• Generate financial reports swiftly and accurately using Copilot.
• Automate routine accounting and data-entry tasks.
• Create financial summaries and forecasts with AI support.
• Extract valuable insights from extensive financial datasets using natural language prompts.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training for this course, please contact us to arrange.

Applied AI brings new levels of efficiency and intelligence to how finance professionals analyze and report on business performance.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who want to integrate AI tools into their financial statement workflows. The goal is to enhance accuracy, automate repetitive tasks, and gain forward-looking insights.

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

• Automate the extraction of data from financial documents using AI tools.
• Apply machine learning models to identify trends and anomalies in financial statements.
• Use generative AI to assist with variance commentary, narrative reports, and scenario simulations.
• Interpret AI-generated outputs responsibly within the context of finance reporting and planning.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

WrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced finance professionals who want to leverage WrenAI to build compliant financial data models and dashboards that support decision-making and risk management.

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

• Create financial KPIs and metrics using WrenAI.
• Develop dashboards that align with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises with financial data models.
• Practical labs focusing on dashboard design and compliance reporting.

Course Customization Options

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

AI is revolutionizing FinTech by facilitating intelligent automation, highly personalized services, and secure real-time financial solutions.

This instructor-led, live training (available both online and on-site) is designed for FinTech professionals ranging from beginners to intermediates who are interested in exploring the integration of AI, APIs, and Open Banking innovations to develop cutting-edge financial products.

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

• Understand how AI and machine learning are utilized across various FinTech applications.
• Utilize Open Banking APIs and data aggregation for innovative product development.
• Design AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure that innovation aligns with regulatory, ethical, and security standards.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• 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 revolutionizing the way financial institutions identify fraud and tackle money laundering by conducting intelligent, real-time analysis of extensive transaction data sets.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to utilize machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.

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

• Comprehend the applications of AI in fraud detection and AML (Anti-Money Laundering) monitoring.
• Develop and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI techniques for network risk detection.
• Ensure that model deployment is ethical, explainable, and compliant with regulations.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training options for this course, please contact us to arrange.

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level finance and technology professionals who aim 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:

• Comprehend how AI is utilized in wealth management and digital advisory platforms.
• Develop intelligent systems for personalized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical and regulatory concerns in automated investment advice.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practice activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications using composable graphs that maintain persistent state and offer control over execution.

This instructor-led, live training (available both online and onsite) is targeted at intermediate to advanced professionals who aim to design, implement, and manage LangGraph-based financial solutions with proper governance, observability, and compliance.

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

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Incorporate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to ensure performance, cost efficiency, and service level agreements (SLAs).

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Oslo (online or onsite) is aimed at intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to leverage multimodal AI for risk analysis and fraud detection.

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

• Understand how multimodal AI is applied in financial risk management.
• Analyze structured and unstructured financial data for fraud detection.
• Implement AI models to identify anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.

AI is revolutionizing how financial institutions evaluate creditworthiness, assess risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is designed for intermediate-level finance professionals who wish to leverage 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.
• Develop and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Oslo (online or onsite) is aimed at finance professionals who wish to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.

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

• Understand the basics of ChatGPT and how it works.
• Use ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data with ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models for specific financial use cases.

Generative AI encompasses a range of artificial intelligence techniques designed to create new content or predictions from existing data. This includes technologies such as Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (available both online and onsite) is tailored for finance professionals at beginner to intermediate levels who are interested in leveraging generative AI for tasks like forecasting, anomaly detection, and ensuring compliance within financial services.

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

• Grasp the fundamental principles underlying generative AI models.
• Utilize LLMs and GANs for applications such as fraud detection and synthetic data generation.
• Craft effective prompts to support financial forecasting and reporting.
• Assess the ethical and regulatory implications of generative AI in their work.

Format of the Course

• Engaging lectures and interactive discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training options for this course, please contact us to arrange.

This instructor-led, live training in Oslo (online or onsite) is aimed at intermediate-level finance professionals and fintech developers who wish to use AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making.

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

• Understand the fundamentals of prompt engineering in financial applications.
• Leverage AI models for financial forecasting and market sentiment analysis.
• Automate financial reporting and data extraction using AI prompts.
• Develop AI-driven risk assessment models through optimized prompts.
• Ensure compliance and ethical considerations when using AI in finance.

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 on-site) is aimed at intermediate-level finance professionals who wish to apply AI techniques in trading and asset management. The focus will be 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.
• Extensive exercises and practice sessions.
• 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 branch of Artificial Intelligence that focuses on developing systems capable of learning from data and making predictions or decisions without explicit programming.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who want to apply machine learning and AI techniques to practical challenges such as fraud detection, credit scoring, and risk modeling.

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

• Grasp the fundamental machine learning concepts pertinent to finance.
• Implement supervised and unsupervised learning algorithms on financial datasets.
• Construct and assess predictive models for credit risk, fraud detection, and market analysis.
• Utilize Python and scikit-learn to create machine learning pipelines.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• 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 in Financial Services is a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency.

This instructor-led, live training (online or onsite) is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The goal is to help them understand how to responsibly and effectively implement AI solutions within their institutions.

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

• Grasp the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

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

AI is rapidly becoming the foundation of modern product management — transforming how we discover customer needs, define solutions, and make decisions. Just as electricity revolutionized industry, Artificial Intelligence is reshaping how products are built, validated, and evolved.

This instructor-led, live training (online or onsite) is aimed at Product Owners, Scrum Masters, and Agile Coaches who want to understand how AI can enhance product ownership and strengthen decision-making.

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

• Understand the fundamentals of Artificial Intelligence and differentiate between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and use AI to strengthen each stance — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting and treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.