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

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

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

• Understand the role of AI in financial automation and fraud detection.
• Build AI models for detecting fraudulent transactions.
• Leverage 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 on-site) is designed for intermediate-level finance professionals who aim 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 capable of:

• Gaining insight into the core AI methodologies applied in credit scoring and risk prediction.
• Constructing and assessing credit scoring models using machine learning algorithms.
• Interpreting model outputs to ensure regulatory compliance and transparency.
• Utilizing AI techniques to improve underwriting processes, loan approvals, and portfolio management.

Course Format

• Engaging lectures coupled with interactive discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

Artificial Intelligence serves as a transformative technology that empowers the creation of digital products equipped with sophisticated, data-driven capabilities and highly personalized customer experiences.

Designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-powered digital products, this instructor-led live training is available either online or onsite. The program integrates asynchronous activities with interactive in-person workshops to foster a comprehensive learning environment.

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

• Pinpoint customer needs and articulate a clear product vision.
• Leverage AI technologies to elevate digital banking offerings.
• Utilize agile methodologies and design thinking principles to develop user-centric solutions.
• Measure, iterate upon, and optimize product performance to ensure long-term value creation.

Course Format

• 50% synchronous sessions (conducted virtually or in-person).
• 25% asynchronous activities, including video content, readings, and forum discussions.
• 25% hands-on practical workshops featuring real-world case studies.

Customization Options

• To arrange a tailored version of this course, please contact our team directly.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and prevent money laundering by intelligently analyzing massive transaction datasets in real-time.

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

Upon completing this training, participants will be able to:

• Gain a clear understanding of how AI is applied in fraud detection and AML monitoring.
• Create and deploy models for detecting anomalies and scoring transactions.
• Apply graph-based AI techniques to identify network risks.
• Deploy models that are ethical, explainable, and compliant with regulations.

Course Format

• Engaging lectures and discussions.
• Numerous exercises and practical applications.
• Practical implementation within a live laboratory environment.

Options for Customizing the Course

• To request a customized version of this course, please get in touch with us to arrange it.

AI serves as a strategic driver for enhancing risk management, customer experience, and operational efficiency within financial services.

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 exposure to artificial intelligence but wish to learn how to responsibly and effectively implement AI solutions in their organizations.

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

• Grasp the strategic value of AI within 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 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 facilitating intelligent automation, hyper-personalized experiences, and secure real-time financial services.

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

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

• Understand the application of AI and machine learning across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation strategies for product innovation.
• Design AI-powered features tailored for digital wallets, neobanks, and financial assistants.
• Ensure alignment between innovation initiatives and regulatory, ethical, and security requirements.

Course Format

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

Course Customization Options

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

WrenAI is an AI-driven analytics platform built to connect data, model insights, and generate dashboards. In enterprise environments, strong governance and security are essential to ensure safe and compliant adoption.

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

Upon completion 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. Achieving this shift demands thoughtful adoption strategies, seamless asset migration, and robust change management practices.

This instructor-led 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 completion of this training, participants will be equipped to:

• Assess current legacy BI environments and pinpoint opportunities for modernization.
• Develop and implement plans to migrate from static dashboards to WrenAI.
• Implement conversational analytics and leverage embedded GenBI functionalities.
• Drive organizational change management efforts during the BI modernization process.

Course Format

• Engaging lectures and interactive discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs dedicated to conversational analytics and embedded GenBI.

Customization Options

• For a customized training solution tailored to your specific needs, please reach out to us to arrange.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access to make it faster and more intuitive. For enterprise environments, maintaining high standards of quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led training session, available both online and on-site, is designed for advanced data and analytics professionals who aim to assess query precision, implement prompt tuning strategies, and establish robust observability practices for monitoring WrenAI in production environments.

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

• Assess the accuracy and reliability of natural language to SQL conversions.
• Utilize prompt tuning methods to enhance system performance.
• Track data drift and analyze query behavior over time.
• Configure WrenAI with logging and observability frameworks for effective monitoring.

Training Format

• Interactive lectures accompanied by group discussions.
• Practical exercises focusing on evaluation metrics and tuning techniques.
• Hands-on labs dedicated to observability and monitoring integrations.

Customization Options

• For tailored training solutions, please reach out to us to arrange your specific requirements.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing tailored applications, and incorporating charts directly into internal platforms.

This instructor-led, live training session (available online or onsite) 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 link applications to the WrenAI API.
• Generate SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Integrate WrenAI capabilities into backend systems and internal tools.

Course Format

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

Customization Options

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

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

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

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

• Establish and configure WrenAI Cloud environments.
• Link WrenAI Cloud to diverse data sources.
• Model data and define analytical relationships.
• Develop interactive dashboards for business intelligence.

Course Format

• Interactive lectures and discussions.
• Practical experience with cloud platform configuration and data modeling.
• Hands-on exercises in dashboard creation and visualization.

Customization Options

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

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

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

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 customized branding and styling.
• Architect secure and scalable multi-tenant deployments.
• Monitor usage metrics, optimize performance, and ensure regulatory compliance within SaaS environments.

Course Format

• Interactive lectures and group discussions.
• Practical hands-on labs utilizing the WrenAI Embedded API.
• Workshop: Designing and deploying a white-label analytics feature tailored to a SaaS use case.

Customization Options

• For customized training arrangements, please contact us directly.

WrenAI Spreadsheets and the Metrics Library accelerate reporting through AI-driven spreadsheet workflows and a collection of pre-built, cross-platform business metrics.

This instructor-led live training (available online or onsite) targets beginner to intermediate operations professionals seeking to speed up reporting and analysis by utilizing WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop 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 enable real-time updates.
• Develop automated workflows that streamline operational reporting processes.

Course Format

• Interactive lectures and discussions.
• Practical spreadsheet construction exercises using WrenAI.
• Hands-on practice with metrics and KPI reporting techniques.

Customization Options for the Course

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