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

This instructor-led, live training in Australia (online or onsite) is designed for 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:

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

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and streamline lending decisions.

This instructor-led live training, available online or onsite, is designed for finance professionals at an intermediate level who want to leverage AI 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 core AI methodologies applied in credit scoring and risk prediction.
• Construct and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval processes, and portfolio management.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence empowers 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 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

• 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 reshaping the way financial institutions identify fraud and combat money laundering by utilising intelligent, real-time analysis of extensive transaction data sets.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level professionals seeking to apply machine learning and AI technologies to automate and improve financial crime detection, compliance monitoring, and operational governance.

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

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

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 serves as a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency within the financial sector.

This instructor-led, live training session, available both online and 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 within their organisations.

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

• Appreciate 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.

Course Format

• Interactive lectures and discussions.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customisation Options

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

Artificial intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalization, 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 seeking to explore the intersection of AI, APIs, and Open Banking innovations to develop 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 use cases.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Design AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure innovation aligns with regulatory, ethical, and security standards.

Course Format

• Interactive lectures and discussions.
• Extensive 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.

WrenAI is an AI-driven analytics platform built to connect data, model insights, and generate dashboards. In enterprise settings, 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 looking to implement governance, compliance, and security patterns for WrenAI at scale.

Upon completing 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 organisations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customisation Options

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

WrenAI empowers organisations to move beyond static dashboards towards conversational analytics and embedded generative BI. This shift necessitates meticulous adoption planning, asset migration, and robust change management practices.

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:

• Evaluate legacy BI environments and pinpoint modernisation opportunities.
• Plan and execute migrations from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI capabilities.
• Lead organisational change management efforts for BI modernisation.

Format of the Course

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

Course Customisation Options

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

WrenAI facilitates the conversion of natural language into SQL queries and supports AI-driven analytics, streamlining data access and enhancing intuition. For enterprise deployments, robust quality assurance and observability protocols are critical to maintaining accuracy, reliability, and regulatory compliance.

This instructor-led training session, available both online and onsite, is tailored for advanced data and analytics professionals seeking to assess query precision, implement prompt tuning strategies, and deploy observability practices for monitoring WrenAI within live production environments.

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

• Assess the precision and dependability of Natural Language to SQL outputs.
• Apply prompt tuning methodologies to enhance system performance.
• Track data drift and query patterns over time.
• Equip 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.

Customisation Options

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

The WrenAI API provides a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding charts within internal platforms.

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers looking to apply the WrenAI API in practical scenarios, such as SQL generation, visualisation, 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 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 connecting apps, charts, and data pipelines.

Course Customization Options

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

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

This instructor-led, live training session (available online or on-site) is tailored for data professionals at beginner to intermediate levels who want to master the setup of WrenAI Cloud, data modelling, and visualisation of insights through dashboards.

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

• Setting up and configuring WrenAI Cloud environments.
• Linking WrenAI Cloud to a variety of data sources.
• Modelling data and defining relationships for analytical purposes.
• Creating interactive dashboards to derive business insights.

Course Format

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

Course Customisation Options

• To arrange bespoke training for this course, please get in touch with 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 into their customer-facing products. This course equips SaaS teams with the necessary skills to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within 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 custom branding and styling.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimise performance, and ensure compliance in SaaS environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using the 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.

WrenAI Spreadsheets and the Metrics Library facilitate rapid reporting via AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

This instructor-led training session, available either online or onsite, is designed for operational 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 equipped to:

• Construct AI-powered spreadsheets for data analysis and reporting.
• Utilise the WrenAI Metrics Library to establish standardised KPIs.
• Link spreadsheets to various data sources for real-time updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical exercises in building spreadsheets with WrenAI.
• Hands-on practice with metrics and KPI reporting.

Customisation Options

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