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

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

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 detect fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

AI is reshaping how financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is designed for intermediate-level finance professionals who want to apply 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:

• Grasp key AI methods used in credit scoring and risk prediction.
• Construct 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.

Format of the Course

• Interactive lecture and discussion.
• 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.

Artificial Intelligence serves as a pivotal technology for developing digital solutions that leverage advanced data-driven capabilities and deliver personalized customer experiences.

This instructor-led live training, available either online or on-site, integrates asynchronous activities with in-person workshops. It is designed for banking professionals with intermediate proficiency who aim to effectively design, develop, and launch AI-enabled digital products.

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

• Recognize customer requirements and establish a clear product vision.
• Implement AI technologies to augment digital banking offerings.
• Utilize agile methodologies and design thinking to craft user-centric solutions.
• Assess, refine, and optimize product performance to ensure long-term value.

Course Format

• 50% synchronous sessions (virtual or face-to-face).
• 25% asynchronous tasks (video content, readings, and discussion forums).
• 25% in-person practical workshops featuring case studies.

Customization Options

• For customized training arrangements, please contact us directly.

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

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking to utilize machine learning and AI tools to automate and strengthen the detection of financial crimes, compliance monitoring, and operational governance.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or on-site, is designed for financial services executives, fintech managers, and compliance officers who have limited prior experience with artificial intelligence. The course aims to help these professionals understand how to responsibly and effectively implement AI solutions within their organizations.

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

• Comprehend the strategic value AI brings to financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the complex regulatory landscape governing AI in finance.
• Design robust frameworks for responsible AI governance and implementation.

Course Format

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

Customization Options

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

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 eager to explore the intersection of AI, APIs, and Open Banking innovations to craft next-generation financial products.

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

• Comprehend the application of AI and machine learning across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Develop 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 activities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

WrenAI is an analytics platform powered by artificial intelligence, designed to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security are essential to guarantee safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals looking to implement governance, compliance, and security patterns for WrenAI on a large 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 transition from static dashboards to conversational analytics and embedded generative BI. This evolution demands strategic adoption planning, asset migration, and robust change management practices.

Delivered as an instructor-led, live training session (available online or onsite), this course 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 equipped to:

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the migration from static dashboards to WrenAI.
• Integrate conversational analytics and embedded GenBI capabilities.
• Drive organizational change management initiatives 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.

Course Customization Options

• For information regarding customized training solutions for this course, please reach out to us.

WrenAI facilitates the conversion of natural language into SQL and delivers AI-powered analytics, streamlining data access with enhanced intuition. For enterprise deployments, rigorous quality assurance and observability are critical to guaranteeing precision, dependability, and regulatory compliance.

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

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

• Assessing the precision and dependability of natural language to SQL outputs.
• Employing prompt tuning strategies to enhance system performance.
• Tracking deviations and query patterns over time.
• Integrating WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

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

The WrenAI API serves as a robust interface for converting natural language into SQL queries, facilitating the creation of custom applications, and embedding charts 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 applications, including SQL generation, data visualization, and application integration.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led, live training session (available online or on-site) targets beginner to intermediate data professionals eager to master the setup of WrenAI Cloud, data modeling techniques, and dashboard-based visualization of insights.

Upon completing this training, participants will be equipped to:

• Establish and configure WrenAI Cloud environments.
• Link WrenAI Cloud with various data sources.
• Model data and define relationships to support analytics.
• Develop interactive dashboards to derive business insights.

Course Format

• Engaging lectures and discussions.
• Practical configuration of the cloud platform and data modeling exercises.
• Hands-on practice in creating dashboards and visualizations.

Customization Options

• For tailored training needs, please reach out to us to arrange a customized session.

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

This instructor-led live training, available both online and on-site, is designed for advanced-level data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, refine prompts, and ensure the reliability of SQL generation.

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

• Implement semantic models to establish consistent metric definitions across teams.
• Enhance text-to-SQL performance to improve accuracy and scalability.
• Configure and enforce guardrails to prevent invalid or high-risk queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

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

Course Customization Options

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

WrenAI is a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to generate insights quickly and consistently.

This instructor-led, live training (available online or onsite) targets intermediate-level product managers, analysts, and data champions who want to adopt conversational analytics and build self-service BI capabilities using WrenAI.

Upon completing 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.
• Effectively use natural-language to SQL features to answer product-related questions.
• Embed WrenAI-driven self-service dashboards and guardrails into product workflows.

Course Format

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

Course Customization Options

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

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

Delivered as live, instructor-led training (available online or on-site), this program is designed for 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 into customer-facing applications using the Embedded API.
• Deploy white-label conversational BI with tailored branding and customization.
• Design secure, scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within SaaS ecosystems.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.

Course Customization Options

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

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 both online and onsite, is designed for operations professionals at beginner to intermediate levels who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.

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

• Develop AI-enhanced spreadsheets for comprehensive data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to enable live data updates.
• Establish automated workflows to streamline operational reporting tasks.

Course Format

• Interactive lectures and group discussions.
• Practical, hands-on exercises in building spreadsheets with WrenAI.
• Real-world scenarios involving metrics and KPI reporting.

Course Customization Options

• For organizations seeking tailored training for this course, please reach out to us to arrange a customized session.