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

This instructor-led, live training in France (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:

• Comprehend the role of AI in financial automation and fraud detection.
• Construct AI models capable of detecting 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 seeking to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

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

• Grasp the core AI methodologies applied in credit scoring and risk prediction.
• Develop and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Utilize AI techniques to refine underwriting, loan approval, and portfolio management processes.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• 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 is a technology that enables the development 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 also allows for the evaluation of participants.

• 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 revolutionizing the way financial institutions identify fraud and combat money laundering by leveraging intelligent, real-time analysis of large-scale transaction data.

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

Upon completing this training, participants will be equipped to:

• Grasp key AI use cases within fraud detection and AML monitoring contexts.
• Design and deploy models for anomaly detection and transaction scoring.
• Apply graph-based AI techniques to detect network risks.
• Ensure that model deployment adheres to ethical standards, provides explainability, and meets regulatory requirements.

Course Format

• Engaging lectures paired with interactive discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

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

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 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 also allows for the evaluation of participants.

• 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.

Artificial Intelligence is revolutionizing 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 synergy between AI, APIs, and Open Banking innovations to create 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 scenarios.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Develop AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure that innovation aligns 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.

Customization Options

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

WrenAI is an AI-powered 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 also allows for the evaluation of participants.

• 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. Achieving this shift demands strategic adoption planning, 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 seeking to modernize their legacy BI systems using WrenAI.

Upon completing this training, participants will be able to:

• Evaluate existing legacy BI environments to identify modernization opportunities.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Lead organizational change management initiatives for BI modernization.

Course Format

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

Course Customization Options

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

WrenAI facilitates the conversion of natural language into SQL queries and delivers AI-driven analytics, streamlining data access to make it faster and more intuitive. For enterprise-level deployment, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led, live training (available online or on-site) targets advanced data and analytics professionals seeking to evaluate query precision, implement prompt tuning strategies, and deploy observability protocols 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 conversions.
• Utilize prompt tuning methods to enhance system performance.
• Monitor for drift and analyze query behavior over time.
• Instrument WrenAI with logging and observability frameworks.

Course Format

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

Customization Options

• For customized training arrangements for this course, please contact us.

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers seeking 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 able to:

• Authenticate and establish connections between applications and the WrenAI API.
• Generate SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Integrate WrenAI into backend systems and internal tooling.

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 a customized training session for this course, please contact us to arrange details.

WrenAI Cloud is a contemporary platform designed to connect data sources, model data, and create interactive dashboards.

This instructor-led, live training (available online or onsite) is intended for beginner to intermediate-level data professionals who want to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

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

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modeling.
• Practical exercises in dashboard building and visualization.

Course Customization Options

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

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

This instructor-led training session, available online or on-site, is designed for advanced-level data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

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

Course Format

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

Course Customization Options

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

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 also allows for the evaluation of participants.

• 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 enables SaaS providers to embed generative business intelligence (GenBI) directly into customer-facing products. This course equips SaaS teams with the skills to integrate Wren AI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level SaaS product leaders, data engineers, and full-stack developers who wish to deploy 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 also allows for the evaluation of participants.

• 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.

The WrenAI Spreadsheets and 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) is designed for operations professionals at beginner to intermediate levels who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

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

Course Format

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

Course Customization Options

• For requests regarding customized training for this course, please contact us to arrange details.