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

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

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

• Grasp the role of AI in financial automation and fraud detection.
• Construct AI models to identify fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial intelligence is revolutionizing 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.

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.

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.

Artificial Intelligence serves as a transformative technology that empowers the creation of digital products featuring advanced, data-driven functionalities and highly personalized customer experiences.

This instructor-led, live training program (available online or on-site), complemented by asynchronous activities and in-person workshops, is designed for intermediate-level banking professionals who aim to effectively design, develop, and launch AI-powered digital products.

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

• Identify customer needs and articulate a clear product vision.
• Leverage AI technologies to enhance digital banking offerings.
• Apply agile methodologies and design thinking to develop user-centered solutions.
• Measure, iterate on, and optimize product performance to ensure sustained value.

Course Format

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

Customization Options

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

Artificial intelligence is revolutionizing how financial institutions identify fraud and combat money laundering by performing intelligent, real-time analysis of massive transaction datasets.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level professionals who want to leverage machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.

Upon completing this training, participants will be equipped to:

• Comprehend use cases for AI in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network risks.
• Deploy models that are ethical, explainable, and compliant with regulations.

Course Format

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

Options for Customizing the Course

• To request a customized version of this course, please reach out to us to make arrangements.

Artificial Intelligence (AI) serves as a powerful transformative tool for proactive financial risk prevention within the banking sector.

This instructor-led, live training (available online or on-site) is designed for executive-level banking professionals who want to explore how AI can be strategically applied to detect fraud, manage risk, and drive innovation in financial institutions.

Upon completing this training, participants will be equipped to:

• Grasp the strategic role of AI in risk management and fraud detection.
• Identify opportunities for integrating AI into banking risk processes.
• Construct compelling business cases and lead AI-driven transformation projects.
• Evaluate AI models, ensure ethical deployment, and align with governance standards.

Course Format

• Interactive lectures and discussions.
• Analysis of real-world banking case studies.
• Workshops focused on strategic planning and project design.

Course Customization Options

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

AI in Financial Services serves as a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency.

This instructor-led, live training (available online or onsite) is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence but wish to understand how to responsibly and effectively implement AI solutions in their institutions.

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

• Understand the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• 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.

WrenAI is an AI-driven analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.

This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish 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 evolve beyond rigid dashboards by embracing conversational analytics and integrated generative BI. This transformation demands thoughtful adoption strategies, systematic asset migration, and robust change management frameworks.

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 equipped to:

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the transition from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Spearhead 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 reach out to us.

WrenAI facilitates the generation of SQL from natural language and delivers AI-powered analytics, streamlining and simplifying data access. For enterprise deployments, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led training, available online or onsite, is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning, and establish observability frameworks for monitoring WrenAI in 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.
• Monitor data drift and query behavior over time.
• Equip WrenAI with logging and observability frameworks.

Course Format

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

Course Customization Options

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

The WrenAI API serves as a robust interface designed to translate natural language into SQL queries, facilitate the development of custom applications, and embed visualizations within internal platforms.

This instructor-led live training, available online or on-site, targets intermediate engineers looking to apply the WrenAI API in practical scenarios, such as generating SQL, creating visualizations, and integrating applications.

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

• Authenticate applications and establish connections with the WrenAI API.
• Generate SQL queries from natural language inputs.
• Create and embed charts using the provided 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 that link applications, charts, and data pipelines.

Customization Options

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

WrenAI Cloud serves as a contemporary platform designed to facilitate the connection of various data sources, the modeling of data, and the creation of interactive dashboards.

This instructor-led, live training, available both online and onsite, is tailored for data professionals ranging from beginner to intermediate levels. The course aims to equip participants with the skills necessary to set up WrenAI Cloud, model their data, and visualize key insights through dashboards.

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

• Set up and configure environments within WrenAI Cloud.
• Connect WrenAI Cloud to multiple data sources.
• Model data and define relationships to support analytics.
• Create interactive dashboards to derive business insights.

Course Format

• 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 Business Intelligence tool designed to facilitate the conversion of natural language into SQL queries and support semantic data modeling.

This instructor-led live training, available both online and onsite, targets advanced data engineers, analytics engineers, and ML engineers who aim to build robust semantic layers, refine prompts, and ensure the reliability of SQL generation.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

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

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 incorporate generative business intelligence (GenBI) directly within their customer-facing applications. This training program equips SaaS teams with the necessary expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant environments effectively.

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

Upon completing this training, participants will be able to:

• Integrate WrenAI using the Embedded API for applications intended for end-users.
• Deploy white-label conversational BI with tailored branding and customization.
• Architect secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within SaaS environments.

Course Format

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

Customization Options

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

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 either online or on-site, targets beginner to intermediate-level operations professionals seeking to accelerate their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.

Upon completing this training, participants will be equipped to:

• Construct AI-enhanced spreadsheets designed for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Develop automated workflows to streamline operational reporting tasks.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Real-world exercises focused on metrics and KPI reporting.

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange a session.