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

This instructor-led, live training in Malaysia (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 both online and onsite, is designed for intermediate-level finance professionals seeking to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

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

• Grasp the key AI methodologies utilised in credit scoring and risk prediction.
• Construct and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to streamline underwriting, loan approvals, and portfolio management.

Course Format

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

Customization Options

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

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

Designed for intermediate-level banking professionals eager to design, develop, and roll out AI-enabled digital products effectively, this instructor-led live training is available both online and onsite. The programme integrates asynchronous learning activities with face-to-face workshops.

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

• Pinpoint customer requirements and articulate a distinct product vision.
• Integrate AI technologies to elevate the capabilities of digital banking products.
• Utilise agile frameworks and design thinking methodologies to engineer user-centric solutions.
• Assess, refine, and optimise product performance to ensure enduring value creation.

Course Delivery Format

• 50% synchronous sessions (conducted virtually or in-person).
• 25% asynchronous learning activities (including video modules, reading materials, and discussion forums).
• 25% hands-on in-person workshop featuring real-world case studies.

Customisation Options

• For tailored training solutions specific to this course, please get in touch with us to discuss your requirements.

AI is reshaping how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.

This instructor-led, live training (online or onsite) targets intermediate-level professionals aiming to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.

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

• Understand AI use cases in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Leverage graph-based AI for network risk detection.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

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 strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency within financial services.

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:

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

Course Format

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

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

• Understand how AI and machine learning are applied across various FinTech use cases.
• Leverage Open Banking APIs and data aggregation for product innovation.
• Design AI-driven features for digital wallets, neobanks, and financial assistants.
• Align innovation with regulatory, ethical, and security considerations.

Course Format

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

Customization Options

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

WrenAI is an AI-driven analytics platform built to link data, model insights, and create dashboards. In enterprise settings, strong governance and security measures are essential for ensuring safe and compliant implementation.

This instructor-led, live training (available online or onsite) targets advanced enterprise professionals looking to deploy governance, compliance, and security patterns for WrenAI on a large scale.

Upon completing this training, participants will be able to:

• Design and implement permissioning models within WrenAI.
• Apply auditability and monitoring practices to meet compliance requirements.
• Establish secure environments with enterprise-grade controls.
• Safely roll out WrenAI across large organisations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customisation Options

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

WrenAI empowers organisations to transition from static dashboards to conversational analytics and embedded generative BI. Achieving this shift demands thoughtful adoption planning, asset migration, and robust change management strategies.

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

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

• Assess legacy BI environments and pinpoint opportunities for modernisation.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Drive organisational change management efforts for BI modernisation.

Course Format

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

Customisation Options

• For bespoke training requests, please reach out to us to make arrangements.

WrenAI facilitates the conversion of natural language into SQL and provides AI-driven analytics, streamlining and simplifying data access. For enterprise environments, robust quality assurance and observability practices are crucial to guaranteeing precision, reliability, 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 optimisation techniques, and deploy observability practices to monitor WrenAI within production environments.

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

• Assessing the accuracy and reliability of natural language to SQL outputs.
• Applying prompt optimisation methods to enhance system performance.
• Tracking data drift and query behaviour over time.
• Equipping WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and discussions.
• Practical exercises focusing on assessment and optimisation techniques.
• Hands-on labs covering observability and monitoring integrations.

Customisation Options

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

The WrenAI API serves as a robust interface for converting natural language into SQL queries, facilitating the creation of bespoke applications, and embedding charts directly into internal platforms.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level engineers aiming to leverage the WrenAI API for practical implementations, encompassing SQL generation, data visualisation, and application integration.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customisation Options

• For those seeking a tailored training experience for this course, please contact us to make arrangements.

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

This instructor-led live training, available both online and onsite, targets beginner to intermediate data professionals seeking to master the setup of WrenAI Cloud, data modelling, and the visualisation of insights within dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to a variety of data sources.
• Model data and define relationships for analytical purposes.
• Create interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with cloud platform configuration and data modelling.
• Practical exercises focused on dashboard construction and visualisation.

Course Customisation Options

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

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 serves as a conversational analytics platform that converts natural-language queries into trustworthy analytics, empowering non-technical teams to derive insights rapidly and consistently.

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

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

• Design conversational analytics workflows that reveal reliable product insights.
• Create and maintain a standardized metrics layer to ensure consistent reporting.
• Effectively utilise natural-language to SQL features to address product-related inquiries.
• Integrate WrenAI-driven self-service dashboards and guardrails into product workflows.

Format of the Course

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

Course Customization Options

• For those seeking customized training for this course, please contact us to make arrangements.

WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing applications. This course equips SaaS teams with the essential skills to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

Delivered through instructor-led live training (available online or onsite), this programme is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within their SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with tailored branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

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.

Customization Options

• For customized training requests, 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 both online and onsite, is designed for beginner to intermediate operations professionals seeking to expedite their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.

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

• Construct AI-enhanced spreadsheets for data analysis and reporting purposes.
• Utilise the WrenAI Metrics Library to establish standardised Key Performance Indicators (KPIs).
• Link spreadsheets to various data sources to ensure live data updates.
• Develop automated workflows to streamline operational reporting.

Course Format

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

Customisation Options

• To arrange tailored training for this course, please get in touch with us.