Professional Scrum Product Owner - AI Essentials Training Course

This instructor-led live training in Norway (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who want to develop and implement AI-driven solutions for financial automation and fraud prevention.

Upon completion of this training, participants will be able to:

• Comprehend the role of AI in financial automation and fraud detection.
• Construct AI models to identify fraudulent transactions.
• Apply machine learning techniques for real-time risk evaluation.
• Implement AI-powered financial monitoring systems.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who want to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

Upon completing this training, participants will be able to:

• Grasp the core AI techniques used in credit scoring and risk prediction.
• Construct and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI methods to enhance underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practical application.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Artificial Intelligence serves as a pivotal technology for building digital products equipped with advanced, data-driven capabilities and personalized customer experiences.

This instructor-led live training, available either online or onsite and complemented by asynchronous activities and in-person workshops, is tailored for banking professionals at an intermediate level who aim to effectively design, develop, and launch AI-powered digital products.

Upon completing this training, participants will be capable of:

• Pinpointing customer needs and establishing a clear product vision.
• Integrating AI technologies to elevate digital banking products.
• Utilizing agile and design thinking methodologies to develop user-centric solutions.
• Measuring, iterating on, and optimizing product performance to ensure sustained value.

Course Format

• 50% synchronous sessions (via virtual platforms or in-person).
• 25% asynchronous activities (including videos, readings, and discussion forums).
• 25% in-person practical workshop featuring case studies.

Options for Customizing the Course

• To arrange customized training for this course, please get in touch with us.

Artificial intelligence is reshaping the way financial institutions identify fraud and combat money laundering by intelligently analyzing vast transaction datasets in real time.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to leverage machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completion of this course, participants will be equipped to:

• Gain insight into AI use cases for fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network risks.
• Ensure ethical, explainable, and regulatory-compliant deployment of models.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live lab environment.

Course Customization Options

• For tailored training on this subject, please reach out to us to arrange.

AI serves as a strategic driver for minimizing risk, enhancing customer experience, and improving operational efficiency in financial services.

This instructor-led live training, available either online or onsite, is designed for executives in financial services, fintech managers, and compliance officers who have limited prior experience with artificial intelligence. The program helps these professionals understand how to responsibly and effectively deploy AI solutions within their institutions.

Upon completing this training, participants will be equipped to:

• Grasp the strategic importance of AI within the financial services sector.
• Recognize and address ethical risks linked to AI models.
• Navigate the regulatory framework governing AI in finance.
• Develop robust frameworks for responsible AI governance and implementation.

Course Format

• Interactive lectures and discussions.
• Analysis of case studies and group exercises.
• Application of ethical frameworks to real-world financial scenarios.

Customization Options

• For organizations seeking tailored training, please contact us to arrange a customized program.

Artificial intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure real-time financial services.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level FinTech professionals seeking to explore the intersection of AI, APIs, and Open Banking innovations to create next-generation financial products.

Upon completion of this training, participants will be able to:

• Comprehend how AI and machine learning are applied across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation to drive product innovation.
• Design AI-powered features for digital wallets, neobanks, and financial assistants.
• Align innovation efforts with regulatory, ethical, and security standards.

Course Format

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

Course Customization Options

• To request a customized training version of this course, please contact us to arrange it.

Artificial intelligence is reshaping how financial institutions approach risk management, strategic planning, regulatory compliance, and customer engagement.

This instructor-led training, available either online or at your premises, is designed for intermediate-level professionals in finance and technology who want to gain insight into how AI influences strategy, ethics, and regulation within the financial sector.

Upon completion of this training, participants will be able to:

• Identify strategic applications of AI within financial services.
• Assess the ethical and regulatory consequences of adopting AI.
• Create frameworks for responsible AI governance and oversight.
• Ensure AI strategies align with organizational objectives and compliance standards.

Course Format

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

Customization Options

• To request a tailored version of this course, please contact us to arrange your customized training.

Artificial Intelligence offers a robust toolkit of methods for creating intelligent trading systems capable of analyzing market data, forecasting trends, and executing strategies autonomously.

This instructor-led live training (available online or on-site) is designed for intermediate finance professionals looking to implement AI techniques in trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and algorithmic strategy development.

Upon completion of this training, participants will be able to:

• Grasp the significance of AI within contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial datasets.
• Enhance portfolios using AI-driven optimization techniques.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options

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

Artificial intelligence is reshaping the WealthTech landscape by facilitating highly tailored financial services, smart advisory platforms, and superior client experiences.

This instructor-led, live training (available online or onsite) targets intermediate-level finance and technology professionals seeking to design, evaluate, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.

Upon completion, participants will be equipped to:

• Comprehend the application of AI in wealth management and digital advisory platforms.
• Develop intelligent systems capable of generating personalized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical and regulatory implications within automated investment advice.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• For personalized training arrangements, please contact us.

The application of artificial intelligence brings unprecedented 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 seeking to integrate AI tools into their financial statement workflows. The goal is to enhance accuracy, automate repetitive tasks, and derive forward-looking insights.

Upon completion of this training, participants will be capable of:

• Automating data extraction from financial documents using AI tools.
• Applying machine learning models to identify trends and anomalies in financial statements.
• Utilizing generative AI to support variance commentary, narrative reports, and scenario simulations.
• Responsibly interpreting AI-generated outputs within the context of finance reporting and planning.

Course Format

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

Course Customization Options

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

This instructor-led live training in Norway (online or onsite) is designed for intermediate to advanced-level AI professionals and software developers who aim to build intelligent applications using AI and ML.

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

• Comprehend the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform the development of AI/ML models.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications capable of solving real-world problems.
• Evaluate the ethical implications of AI applications across various industries.

This instructor-led, live training in Norway (online or onsite) is designed for 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.

Microsoft Copilot for Microsoft 365 serves as an AI-driven assistant that seamlessly integrates with Microsoft Office applications. It is designed to assist finance and accounting professionals in boosting productivity, simplifying reporting processes, and facilitating informed decision-making.

This instructor-led, live training session, available either online or onsite, targets finance and accounting professionals who have limited prior experience with AI but wish to harness Microsoft Copilot to enhance the accuracy, efficiency, and depth of insight in their financial tasks.

Upon completion of this training, participants will be capable of:

• Rapidly and accurately producing financial reports using Copilot.
• Automating routine accounting and data-entry activities.
• Developing financial summaries and forecasts with the aid of AI.
• Leveraging natural language prompts to derive insights from extensive financial datasets.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice opportunities.
• Practical implementation within a live lab environment.

Customization Options

• To arrange a tailored training session for this course, please reach out to us to make the necessary arrangements.

This instructor-led, live training in Norway (online or on-site) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

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

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This instructor-led, live training in Norway (online or onsite) is designed for data scientists, engineers, and AI practitioners at an intermediate to advanced level who aim to master the complexities of intelligent applications and apply them to solve challenging, real-world problems.

Upon completion of this training, participants will be capable of:

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within a distributed computing environment.
• Designing and executing reinforcement learning models for decision-making.
• Developing advanced NLP systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.