WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards 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.

WrenAI is an AI-driven analytics platform built to link data sources, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.

This instructor-led, live training session (available online or onsite) is designed for advanced-level enterprise professionals who want to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organizations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

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

WrenAI empowers organizations to shift away from static dashboards towards conversational analytics and embedded generative BI. Achieving this transformation demands meticulous adoption planning, the migration of existing assets, and robust change management strategies.

This instructor-led, live training session, available either online or on-site, is designed for intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

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

• Evaluating legacy BI environments to identify opportunities for modernization.
• Planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Leading organizational change management efforts for BI modernization.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs covering conversational analytics and embedded GenBI.

Customization Options

• For customized training arrangements, please contact us directly.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-level deployments, maintaining high standards of quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led live training, available either online or on-site, is designed for senior data and analytics specialists looking to assess query precision, implement prompt optimization strategies, and deploy observability measures to oversee WrenAI in live production environments.

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

• Assess the precision and dependability of natural language to SQL translations.
• Utilize prompt tuning methods to enhance system performance.
• Track data drift and analyze query patterns over time.
• Integrate WrenAI with logging and observability infrastructures.

Course Structure

• Engaging lectures and group discussions.
• Practical exercises focused on evaluation and tuning methodologies.
• Hands-on labs covering observability and monitoring integrations.

Customization Options

• For tailored training solutions, please reach out to us to discuss your specific needs.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, developing custom applications, and embedding charts within internal platforms.

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases such as SQL generation, data visualization, and application integration.

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

• Authenticate and link applications to the WrenAI API.
• Derive SQL queries from natural language inputs.
• Generate and embed charts utilizing API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Hands-on projects connecting applications, charts, and data pipelines.

Customization Options for the Course

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

WrenAI Cloud serves as a contemporary platform for linking data sources, modeling information, and constructing interactive dashboards.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate data professionals aiming to master the setup of WrenAI Cloud, model their data, and visualize insights through dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Establishing connections between WrenAI Cloud and various data sources.
• Modeling data and defining relationships for analytics.
• Creating interactive dashboards to derive business insights.

Format of the Course

• Interactive lectures and discussions.
• Hands-on practice with cloud platform configuration and data modeling.
• Practical exercises focused on dashboard building and visualization.

Course Customization Options

• For customized training requests, please contact us to arrange.

WrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modeling.

This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

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

• Implement semantic models for consistent metric definitions across teams.
• Optimize text-to-SQL performance for accuracy and scalability.
• Configure and enforce guardrails to avoid invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

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.

WrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.

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

• Design conversational analytics workflows that surface reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Use natural-language to SQL features effectively to answer product questions.
• Embed WrenAI-driven self-service dashboards and guardrails in product workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Wren AI and sample datasets.
• Workshop: build a self-service dashboard and conversational query set.

Course Customization Options

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

WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

Course Format

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Customization Options

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

WrenAI Spreadsheets and the Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows alongside a repository of pre-built, cross-platform business metrics.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate operations professionals looking to speed up their reporting and analysis processes through WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-enhanced spreadsheets for data analysis and reporting purposes.
• Utilize the WrenAI Metrics Library to establish standardized Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure real-time updates.
• Develop automated workflows that streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical exercises in building spreadsheets using WrenAI.
• Hands-on practice with metrics and KPI reporting.

Customization Options

• To arrange a customized training session for this course, please reach out to us.