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

Artificial Intelligence (AI) is revolutionizing the financial sector by facilitating more intelligent decision-making, enhancing risk control, detecting fraud, ensuring regulatory adherence, refining financial projections, and automating processes. This program equips finance professionals with the practical expertise needed to navigate AI technologies and their specific applications within banking, insurance, investment management, and the broader financial services landscape.

Learning Outcomes

Upon completing this course, participants will be equipped to:

• Grasp the core concepts of Artificial Intelligence and Machine Learning within financial contexts.
• Recognize pivotal AI applications across the financial services industry.
• Implement AI methods for optimizing risk management, identifying fraud, and enhancing financial forecasting.
• Leverage AI-driven tools to boost operational efficiency and strategic decision-making.
• Navigate the ethical, regulatory, and governance frameworks associated with AI integration.
• Assess the potential opportunities and challenges involved in deploying AI within financial institutions.

This live, instructor-led training in Botswana (available online or onsite) targets 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 course, participants will be equipped to:

• Grasp the significance of AI in financial automation and identifying fraud.
• Develop AI models capable of spotting fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-powered financial monitoring systems.

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

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

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

• Grasp the key AI methods utilised 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.
• Apply AI techniques to improve underwriting, loan approval, 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 revolutionizing the way financial institutions identify fraud and counter money laundering by performing intelligent, real-time analysis of extensive transaction data.

This instructor-led live training, available either online or in person, is designed for intermediate-level professionals who aim to utilise machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

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

• Comprehend AI use cases within fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Apply graph-based AI for network risk detection.
• Ensure the deployment of ethical, explainable, and regulatory-compliant models.

Format of the Course

• 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 make arrangements.

Artificial intelligence serves as a critical strategic tool for enhancing operational efficiency, improving customer experiences, and reducing risk within the financial sector.

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 experience with artificial intelligence but wish to learn how to implement AI solutions responsibly and effectively within their organisations.

Upon completing this training, participants will be able to:

• Grasp the strategic significance of AI in the financial services industry.
• Recognise and mitigate ethical risks linked to AI models.
• Navigate the regulatory framework governing AI in finance.
• Develop frameworks for responsible AI governance and implementation.

Course Format

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

Customisation Options

• For tailored training on this topic, please contact us to make arrangements.

WrenAI is an analytics platform powered by artificial intelligence, designed to link data, model insights, and generate dashboards. In enterprise settings, robust governance and security are vital to ensure safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals who wish 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 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 organisations to transcend static dashboards by embracing conversational analytics and embedded generative BI. Successfully navigating this shift demands strategic adoption planning, seamless asset migration, and robust change management practices.

This instructor-led live training, available both online and 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 implement migrations from static dashboards to WrenAI.
• Embrace conversational analytics and embedded GenBI functionalities.
• Drive organisational change management initiatives 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 arrangements, please contact us.

WrenAI facilitates the conversion of natural language into SQL and provides AI-driven analytics, enhancing the speed and intuitiveness of data access. For enterprise applications, maintaining high standards of quality assurance and observability is crucial to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led training session, available online or on-site, targets advanced data and analytics professionals seeking to assess query accuracy, utilise prompt tuning techniques, and deploy observability measures to monitor WrenAI within live production environments.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customisation Options

• For tailored training solutions, please contact us to make arrangements.

The WrenAI API serves as a robust interface for converting natural language requests into SQL queries, constructing bespoke applications, and embedding visual charts into internal platforms.

This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to leverage the WrenAI API for practical implementation, encompassing SQL generation, data visualisation, and application integration.

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

• Authenticating and linking applications to the WrenAI API.
• Generating SQL queries from natural language inputs.
• Creating and embedding charts via API endpoints.
• Integrating WrenAI into backend systems and internal tools.

Course Format

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

Customisation Options

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

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

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

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

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

Course Format

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

Customisation Options for the Course

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

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

This instructor-led, live training (available online or onsite) targets advanced 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:

• Implement semantic models to ensure consistent metric definitions across teams.
• Enhance text-to-SQL performance to improve both accuracy and scalability.
• Configure and enforce guardrails to prevent invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

WrenAI empowers SaaS providers to embed generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the 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) targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who wish to deploy WrenAI as an embedded analytics solution in SaaS environments.

Upon completing 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

• 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.

WrenAI Spreadsheets and Metrics Library enable rapid reporting through 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 beginner to intermediate operational professionals seeking 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.
• Leverage the WrenAI Metrics Library to establish standardized KPIs.
• Link spreadsheets to various data sources to facilitate real-time updates.
• Construct automated workflows to streamline operational reporting.

Course Format

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

Course Customization Options

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