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

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

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

• Grasp the role of AI in automating financial tasks and detecting fraud.
• Construct AI models capable of identifying fraudulent transactions.
• Utilize machine learning techniques for real-time risk evaluation.
• Deploy AI-enabled financial monitoring systems.

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

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.

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.

Course Format

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

Customization Options

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

Artificial Intelligence serves as a technology that facilitates the creation of digital products with advanced data-driven capabilities and personalized customer experiences.

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

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

• Identify customer needs and define a clear product vision.
• Apply AI technologies to enhance digital banking products.
• Use agile and design thinking methods to create user-centered solutions.
• Measure, iterate, 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 workshop with case studies.

Course Customization Options

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

Artificial intelligence is reshaping the way financial institutions identify fraud and prevent money laundering by enabling intelligent, real-time analysis of extensive transaction data.

This instructor-led training, available either online or onsite, is designed for intermediate-level professionals looking to apply machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

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

• Gain insight into AI applications in 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 model deployment.

Course Format

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

Course Customization Options

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

Artificial Intelligence serves as a strategic catalyst for mitigating risk, enhancing customer experience, and boosting operational efficiency within financial services.

This instructor-led live training (available online or onsite) is designed for executives in financial services, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. It aims to equip them with the knowledge to implement AI solutions responsibly and effectively within their institutions.

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

• Grasp the strategic importance of AI in the financial sector.
• Identify and mitigate ethical risks linked to AI models.
• Navigate the regulatory framework governing AI in finance.
• Design robust frameworks for responsible AI governance and implementation.

Course Format

• Interactive lectures and group discussions.
• Analysis of case studies and collaborative exercises.
• Application of ethical frameworks to realistic financial scenarios.

Customization Options

• For customized training options, please contact us to arrange a session tailored to your needs.

Artificial Intelligence is reshaping the FinTech landscape by driving intelligent automation, hyper-personalization, and secure, real-time financial services.

This instructor-led live training, available online or on-site, is designed for beginner to intermediate FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking innovations to develop next-generation financial products.

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

• Grasp how AI and machine learning are applied across various FinTech scenarios.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Create AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure alignment with regulatory, ethical, and security standards.

Course Format

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

Customization Options

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

WrenAI is an AI-driven analytics platform that facilitates data connectivity, insight modelling, and dashboard generation. For enterprise settings, establishing strong governance and security measures is essential to guarantee safe and compliant implementation.

This instructor-led live training, available either online or onsite, targets advanced-level enterprise professionals looking to deploy scalable governance, compliance, and security patterns for WrenAI.

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

• Designing and implementing permissioning models within WrenAI.
• Applying practices for auditability and monitoring to ensure compliance.
• Establishing secure environments equipped with enterprise-level controls.
• Safely rolling out WrenAI across large organisations.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on governance and security configurations.
• Real-world exercises simulating enterprise rollout scenarios.

Customization Options

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

WrenAI empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. This shift demands meticulous adoption planning, asset migration, and robust change management strategies.

This instructor-led live training (available online or onsite) targets 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:

• Assessing legacy BI environments and pinpointing modernization opportunities.
• Planning and executing migrations from static dashboards to WrenAI.
• Embracing conversational analytics and embedded GenBI functionalities.
• Driving organizational change management 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 the Course

• For customized training arrangements, please contact us.

WrenAI facilitates the conversion of natural language into SQL queries and supports AI-powered analytics, streamlining data access to make it quicker and more intuitive. For enterprise-grade applications, implementing rigorous quality assurance and observability practices is critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training—available either online or onsite—is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning, and establish observability protocols for monitoring WrenAI in live production environments.

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

• Assess the accuracy and reliability of Natural Language to SQL outputs.
• Utilize prompt tuning techniques to enhance system performance.
• Track data drift and query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

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

Course Customization Options

• To request a tailored training session for this course, please get in touch with us to arrange the details.

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

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

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

• Authenticating and linking applications to the WrenAI API.
• Generating SQL queries from natural language inputs.
• Creating and embedding charts via API endpoints.
• Integrating WrenAI into backend systems and internal tools.

Course Format

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

Customization Options

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

WrenAI Cloud is a contemporary platform designed for linking data sources, modeling data, and constructing interactive dashboards.

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals seeking to learn how to set up WrenAI Cloud, model data, and visualize insights within dashboards.

Upon completing this training, participants will be able to:

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to various data sources.
• Model data and define relationships for analytics.
• Create 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

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

WrenAI is an open-source generative BI tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.

This instructor-led live training, available online or onsite, targets advanced-level data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, fine-tune prompts, and guarantee reliable SQL generation.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution in SaaS environments.

By the end 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.

Format of the Course

• 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.

Course Customization Options

• To request a 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 and a repository of pre-built, cross-platform business metrics.

This instructor-led live training, available online or onsite, targets beginner to intermediate operations professionals looking to speed up reporting and analysis through the use of WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Construct AI-powered spreadsheets for data analysis and reporting purposes.
• Utilize the WrenAI Metrics Library to establish standardized KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Develop automated workflows to streamline operational reporting processes.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on spreadsheet construction using WrenAI.
• Applied exercises focusing on metrics and KPI reporting.

Customization Options

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