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

This instructor-led live training in Slovakia (available online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers looking to develop and deploy AI-driven solutions for financial automation and fraud detection.

Upon completing this training, participants will be able to:

• Grasp the significance of AI in automating financial processes and detecting fraud.
• Develop AI models capable of identifying fraudulent transactions.
• Apply machine learning techniques for real-time risk evaluation.
• Implement AI-powered financial monitoring systems.

Artificial Intelligence is revolutionizing how financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led live training, available both online and onsite, targets intermediate-level finance professionals eager to leverage AI to enhance credit scoring models, manage risk more effectively, and improve lending operations.

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

• Grasp key AI methodologies employed in credit scoring and risk prediction.
• Construct and assess credit scoring models utilizing machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval, and portfolio management processes.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence empowers the creation of digital products that leverage advanced, data-driven capabilities and deliver personalized customer experiences.

This instructor-led live training, available online or onsite and supplemented by asynchronous activities and in-person workshops, is designed for intermediate-level banking professionals seeking to effectively design, develop, and launch AI-enhanced digital products.

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

• Identify customer needs and articulate a clear product vision.
• Leverage AI technologies to improve digital banking products.
• Utilize agile and design thinking methodologies to develop user-centric solutions.
• Measure, iterate, and optimize product performance to ensure sustained value.

Course Format

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

Customization Options

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

Financial institutions are leveraging artificial intelligence to revolutionize the detection of fraud and the combat against money laundering by employing intelligent, real-time analysis of massive transaction datasets.

This instructor-led, live training session (available online or on-site) is designed for intermediate-level professionals seeking to utilize machine learning and AI technologies to automate and improve financial crime detection, compliance monitoring, and operational governance.

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

• Comprehend various use cases of AI in fraud detection and AML monitoring.
• Design and deploy models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network-related risks.
• Guarantee that model deployment is ethical, explainable, and compliant with regulations.

Course Format

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

Customization Options

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

Artificial Intelligence serves as a strategic driver for reducing risk, enhancing customer experience, and improving operational efficiency within the financial sector.

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

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

• Appreciate the strategic value of AI in financial services.
• Identify and mitigate ethical risks linked to AI models.
• Navigate the regulatory landscape surrounding AI in finance.
• Design frameworks for responsible AI governance and implementation.

Format of the Course

• Interactive lectures and discussions.
• 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.

Artificial intelligence is revolutionizing the FinTech sector by enabling intelligent automation, hyper-personalization, and secure real-time financial services.

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

Upon completing this training, participants will be able to:

• Gain insights into 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.
• Ensure innovation aligns with regulatory, ethical, and security standards.

Course Format

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

Course Customization Options

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

WrenAI is an AI-driven analytics platform engineered to connect data, model insights, and produce dashboards. In enterprise settings, robust governance and security are essential for ensuring safe and compliant adoption.

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

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

• Design and implement permissioning models within WrenAI.
• Apply auditability and monitoring practices to ensure compliance.
• Set up secure environments with enterprise-level controls.
• Safely roll out WrenAI 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 from static dashboards to conversational analytics and embedded generative BI. This evolution demands strategic adoption planning, thorough asset migration, and robust change management practices.

This instructor-led, live training (available online or onsite) is designed for intermediate-level BI and data platform professionals looking to modernize their legacy BI systems using WrenAI.

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

• Assessing legacy BI environments to pinpoint modernization opportunities.
• Planning and executing the transition from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI features.
• 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 requests, please reach out to us to make arrangements.

WrenAI streamlines data access by converting natural language into SQL and powering AI-driven analytics, making interactions more intuitive and efficient. For enterprise environments, robust quality assurance and observability are critical to guaranteeing the accuracy, reliability, and compliance of these systems.

This instructor-led live training, available both online and onsite, is designed for advanced data and analytics professionals seeking to evaluate query precision, refine prompt strategies, and deploy observability practices to monitor WrenAI in production environments.

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

• Assess the precision and reliability of natural language to SQL conversions.
• Utilize prompt tuning techniques to enhance system performance.
• Track data drift and analyze query patterns over time.
• Implement logging and observability frameworks within WrenAI.

Training Format

• Engaging lectures paired with interactive discussions.
• Practical exercises focusing on evaluation and tuning methodologies.
• Hands-on labs dedicated to observability and monitoring integrations.

Customization Opportunities

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

The WrenAI API serves as a robust interface for transforming natural language into SQL queries, constructing bespoke applications, and embedding visual charts directly into internal platforms.

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers looking to apply the WrenAI API in practical scenarios, such as generating SQL code, creating visualizations, and integrating with applications.

Upon completing this training, participants will be equipped to:

• Authenticate and link applications to the WrenAI API.
• Produce SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Seamlessly integrate WrenAI into backend systems and internal tools.

Course Format

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

Customization Options

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

WrenAI Cloud serves as a contemporary platform designed to link data sources, structure data models, and construct interactive dashboards.

This instructor-led, live training, available either online or on-site, is tailored for data professionals ranging from beginner to intermediate levels who aim to master the setup of WrenAI Cloud, data modeling techniques, and the visualization of insights through dashboards.

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

• Configure and set up WrenAI Cloud environments.
• Establish connections between WrenAI Cloud and various data sources.
• Model data and define relationships essential for analytics.
• Develop interactive dashboards to derive business insights.

Course Format

• Engaging lectures and group discussions.
• Practical configuration of the cloud platform and data modeling exercises.
• Hands-on practice in dashboard creation and visualization techniques.

Customization Options

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

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 within their customer-facing applications. This course provides SaaS teams with the essential skills to integrate WrenAI via its Embedded API, configure white-label analytics, and manage complex multi-tenant deployments.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within their SaaS environments.

Upon completing this training, participants will be equipped to:

• Integrate WrenAI using the Embedded API to power customer-facing applications.
• Implement white-label conversational BI, complete with custom branding and design.
• Architect secure and scalable multi-tenant deployment structures.
• Monitor usage metrics, optimize performance, and ensure regulatory compliance in SaaS settings.

Course Format

• Interactive lectures and group discussions.
• Practical labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature tailored to a specific SaaS use case.

Customization Options

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

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

This instructor-led live training, available online or on-site, is designed for beginner to intermediate operations professionals seeking to expedite reporting and analysis through WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources to ensure real-time updates.
• Establish automated workflows to streamline operational reporting processes.

Course Format

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

Customization Options

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