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

This instructor-led, live training in the UAE (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.

AI is revolutionizing the way financial institutions evaluate creditworthiness, assess risk, and optimize lending decisions.

This instructor-led, live training (available online or on-site) is designed for intermediate-level finance professionals who wish to leverage artificial intelligence to enhance credit scoring models, manage risks more effectively, and improve lending operations.

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

• Understand key AI methodologies used in credit scoring and risk prediction.
• Develop and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval processes, 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 is a technology that enables the creation 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 designed for intermediate-level banking professionals who wish to effectively design, develop, and deliver AI-powered digital products.

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

• Identify customer needs and establish a clear product vision.
• Leverage AI technologies to enhance digital banking solutions.
• Utilize agile and design thinking methodologies to create user-centric products.
• Measure, refine, and optimize product performance for sustained value.

Format of the Course

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

Course Customization Options

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

AI is revolutionizing the way financial institutions in the United Arab Emirates detect fraud and combat money laundering by providing intelligent, real-time analysis of extensive transaction datasets.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to apply machine learning and AI tools to automate and enhance their capabilities in financial crime detection, compliance monitoring, and operational governance.

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

• Comprehend AI applications in fraud detection and AML (Anti-Money Laundering) monitoring.
• Develop and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network risks.
• Ensure the ethical, explainable, and regulatory-compliant deployment of models.

Format of the Course

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

Course Customization Options

• For a customized training program tailored to your specific needs, please contact us to arrange.

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

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. The goal is to help them understand how to implement AI solutions responsibly and effectively within their institutions.

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

• Comprehend 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.
• Develop 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 practical financial scenarios.

Course Customization Options

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

AI is revolutionizing FinTech by facilitating intelligent automation, hyper-personalization, and secure real-time financial services.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level FinTech professionals who want to explore the integration of AI, APIs, and Open Banking innovations to develop next-generation financial products.

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

• Understand how AI and machine learning are utilized across various FinTech applications.
• Utilize Open Banking APIs and data aggregation for innovative product development.
• Design AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure that innovation aligns with regulatory, ethical, and security standards.

Format of the Course

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

Course Customization Options

• For a customized training experience, please contact us to arrange.

WrenAI is an AI-driven analytics platform engineered to unify data sources, derive meaningful insights, and generate comprehensive dashboards. Within enterprise settings, establishing strong governance and security frameworks is paramount to ensuring safe and compliant adoption.

This instructor-led, live training session—available either online or on-site—is specifically tailored for advanced-level enterprise professionals seeking to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Architect and deploy permissioning models within WrenAI.
• Implement auditability and monitoring protocols to meet compliance requirements.
• Establish secure environments fortified with enterprise-grade controls.
• Execute the safe deployment of WrenAI across large-scale organisations.

Course Format

• Engaging lectures complemented by interactive discussions.
• Practical labs focused on configuring governance and security settings.
• Real-world exercises that simulate enterprise rollout scenarios.

Course Customisation Options

• Should you wish to request a bespoke training arrangement for this course, please contact us to discuss your specific requirements.

WrenAI empowers organizations to evolve from static dashboards to conversational analytics and embedded generative BI. This strategic shift demands meticulous adoption planning, seamless asset migration, and robust change management strategies.

Delivered as an instructor-led, live session (available online or onsite), this programme is designed 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 existing legacy BI environments and pinpoint opportunities for modernisation.
• Strategise and carry out migrations from traditional static dashboards to WrenAI.
• Implement conversational analytics and leverage embedded GenBI capabilities.
• Champion organisational change management initiatives to drive BI modernisation.

Course Format

• Interactive lectures coupled with in-depth discussions.
• Practical, hands-on exercises focused on migration and adoption planning.
• Real-world labs demonstrating conversational analytics and embedded GenBI.

Course Customisation Options

• Should you require a tailored training session for this course, please contact us to arrange a bespoke solution.

WrenAI facilitates the conversion of natural language into SQL and delivers AI-driven analytics, streamlining data access to be both faster and more intuitive. For enterprise-scale deployments, rigorous quality assurance and observability protocols are critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training session—available either online or on-site—is designed for senior-level data and analytics professionals seeking to validate query precision, refine prompt engineering strategies, and establish robust observability frameworks for monitoring WrenAI within production environments.

Upon completing this programme, participants will be equipped to:

• Assess the precision and dependability of natural language-to-SQL outputs.
• Implement prompt tuning methodologies to enhance system performance.
• Track data drift and analyse query behaviour over time.
• Integrate WrenAI with logging and observability frameworks for comprehensive monitoring.

Course Format

• Engaging lectures accompanied by interactive discussions.
• Practical exercises focused on evaluation and tuning techniques.
• Hands-on laboratory sessions covering observability and monitoring integrations.

Customisation Options

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

The WrenAI API serves as a robust interface designed to generate SQL queries from natural language, facilitate the development of custom applications, and seamlessly integrate visual charts into internal platforms.

This instructor-led, live training, available either online or on-site, is tailored for intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, ranging from SQL generation and data visualization to application integration.

Upon completing this training, participants will be equipped to:

• Authenticate and establish secure connections between applications and the WrenAI API.
• Derive SQL queries directly from natural language prompts.
• Develop and embed interactive charts utilizing dedicated API endpoints.
• Integrate WrenAI capabilities into backend systems and internal operational tools.

Course Format

• Engaging lectures complemented by interactive discussions.
• Hands-on exercises focused on executing API calls and managing integrations.
• Practical projects that link applications, visualisations, and data pipelines.

Customization Options

• For organisations seeking a tailored training session for this course, please contact us to arrange a custom programme.

WrenAI Cloud serves as a contemporary platform designed to streamline data source integration, data modelling, and the development of interactive dashboards.

This instructor-led, live training—available either online or on-site—is tailored for data professionals ranging from beginner to intermediate levels who aspire to master the setup of WrenAI Cloud, execute data modelling, and visualise insights through dashboards.

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

• Establish and configure WrenAI Cloud environments.
• Integrate WrenAI Cloud with a variety of data sources.
• Model data and define analytical relationships.
• Develop interactive dashboards to drive business insights.

Course Format

• Interactive lectures followed by group discussions.
• Hands-on configuration of the cloud platform and practical data modelling.
• Real-world exercises focused on dashboard creation and visualisation.

Course Customisation Options

• For bespoke training arrangements tailored to your specific needs, please contact us to coordinate a session.

WrenAI is an open-source generative Business Intelligence (BI) solution designed to facilitate natural language to SQL conversion and support semantic data modelling.

This instructor-led, live training session, available either online or on-site, is tailored for senior data engineers, analytics engineers, and Machine Learning (ML) engineers who aspire to construct robust semantic layers, refine prompts, and guarantee dependable SQL generation.

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

• Deploy semantic models to ensure consistent metric definitions across various teams.
• Enhance text-to-SQL performance to achieve greater accuracy and scalability.
• Set up and enforce protective guardrails to prevent invalid or high-risk queries.
• Seamlessly integrate WrenAI OSS into existing data pipelines and analytics workflows.

Course Format

• Interactive lectures complemented by open discussion.
• Extensive exercises and practical application.
• Real-world implementation within a live-lab environment.

Course Customisation Options

• To request a customised training arrangement for this course, please contact us to discuss your specific requirements.

WrenAI is a conversational analytics platform designed to translate natural-language queries into dependable insights, empowering non-technical teams to generate data-driven decisions quickly and consistently.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level product managers, analysts, and data champions seeking to embrace conversational analytics and establish self-service Business Intelligence (BI) capabilities using WrenAI.

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

• Design conversational analytics workflows that highlight reliable product insights.
• Establish and maintain a standardized metrics layer to ensure consistent reporting.
• Effectively leverage natural-language-to-SQL features to address key product questions.
• Integrate WrenAI-powered self-service dashboards and governance guardrails directly into product workflows.

Course Format

• Engaging lectures and interactive discussions.
• Practical hands-on labs using WrenAI and sample datasets.
• A workshop focused on building a self-service dashboard and a set of conversational queries.

Course Customization Options

• Should you require a customized version of this training, please contact us to arrange a tailored session.

WrenAI empowers SaaS providers to embed generative business intelligence (GenBI) seamlessly into their customer-facing offerings. This programme equips SaaS teams with the practical expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and oversee multi-tenant deployments.

Delivered as an instructor-led, live training session (available online or on-site), this course is tailored for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers seeking to deploy WrenAI as a robust embedded analytics solution within SaaS ecosystems.

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

• Integrate WrenAI into customer-facing applications using the Embedded API.
• Implement white-label conversational BI solutions complete with branding and customisation.
• Architect secure, scalable multi-tenant deployment strategies.
• Monitor usage patterns, optimise performance, and ensure regulatory compliance within SaaS environments.

Course Format

• Engaging lectures and interactive discussions.
• Practical hands-on labs leveraging the WrenAI Embedded API.
• A dedicated workshop to design and deploy a white-label analytics feature for a specific SaaS use case.

Customisation Options

• To request a bespoke training arrangement for this course, please contact us to discuss your specific requirements.

WrenAI Spreadsheets and Metrics Library accelerate reporting by combining AI-driven spreadsheet workflows with a comprehensive collection of pre-built, cross-platform business metrics.

This instructor-led, live training—available either online or on-site—is designed for operations professionals at beginner to intermediate levels who aim to expedite their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-powered spreadsheets for efficient data analysis and reporting.
• Utilise the WrenAI Metrics Library to implement standardised KPIs.
• Integrate spreadsheets with multiple data sources to enable real-time updates.
• Establish automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Hands-on spreadsheet development using WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customisation Options

• For a customised version of this training, please contact us to arrange a tailored session.