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

This instructor-led, live training in Kenya (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 onsite) is designed for intermediate-level finance professionals looking 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:

• Gain a solid understanding of key AI methods utilized 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 enhance underwriting, loan approval processes, and portfolio management.

Course Format

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

Customization Options

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

Artificial Intelligence empowers the creation of digital solutions with sophisticated data-driven functionalities and tailored customer experiences.

Designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-enabled digital products, this instructor-led live training is available both online and onsite. The programme combines asynchronous learning activities with in-person workshops.

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

• Pinpoint customer requirements and establish a definitive product vision.
• Integrate AI technologies to augment digital banking offerings.
• Utilize agile methodologies and design thinking to craft user-centric solutions.
• Assess, refine, and optimize product performance to ensure enduring value.

Course Delivery Format

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

Customization Options

• To arrange a bespoke training session for this course, please reach out to us.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and prevent money laundering by leveraging intelligent, real-time analysis of extensive transaction data.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals looking to utilize machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.

Upon completing this training, participants will be capable of:

• Grasping the use cases of AI in fraud detection and AML monitoring.
• Designing and deploying models for anomaly detection and transaction scoring.
• Utilizing graph-based AI to identify network risks.
• Ensuring the deployment of ethical, explainable, and regulatory-compliant models.

Course Format

• 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 get in touch with us to make arrangements.

AI serves as a strategic enabler in financial services, driving risk reduction, enhancing customer experience, and improving operational efficiency.

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 exposure to artificial intelligence but wish to understand how to responsibly and effectively implement AI solutions within their institutions.

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

• Grasp 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.

Format of the Course

• Interactive lecture and discussion.
• 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 reshaping the FinTech sector by facilitating smart automation, ultra-personalized experiences, and secure, real-time financial services.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking innovations to design next-generation financial products.

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

• Understand how AI and machine learning are applied across 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.

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 an AI-driven analytics platform engineered to connect data, model insights, and generate dashboards. Within enterprise settings, robust governance and security are vital to ensuring 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.

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

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

Format of the Course

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

Course Customization Options

• To request 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. This shift necessitates meticulous adoption planning, asset migration, and robust change management strategies.

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

Upon completing this training, participants will be equipped to:

• Assess legacy BI environments and pinpoint opportunities for modernization.
• Formulate and execute migration plans from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives for BI modernization.

Course Format

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

Customization Options

• For tailored training arrangements, please reach out to us directly.

WrenAI facilitates the conversion of natural language into SQL and delivers AI-driven analytics, thereby enhancing the speed and intuitiveness of data access. For enterprise-grade applications, rigorous quality assurance and observability practices are critical to guaranteeing accuracy, reliability, and regulatory compliance.

This instructor-led, live training session, available both online and onsite, is designed for advanced data and analytics professionals aiming to assess query accuracy, implement prompt tuning, and establish observability practices for monitoring WrenAI in production environments.

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

• Assess the accuracy and reliability of outputs generated from natural language to SQL.
• Utilize prompt tuning techniques to enhance system performance.
• Monitor changes in data drift and query behaviour over time.
• Integrate WrenAI with logging and observability frameworks.

Course Delivery Format

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

Customization Options

• For bespoke training arrangements, please contact us to discuss your specific requirements.

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

This instructor-led, live training (available online or onsite) targets intermediate-level engineers looking to leverage the WrenAI API for practical applications such as 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.
• Build and embed charts using API endpoints.
• Integrate WrenAI 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 arrange customized training for this course, please contact us.

WrenAI Cloud is a contemporary platform designed to connect data sources, model data, and construct interactive dashboards.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level data professionals who aim to master the setup of WrenAI Cloud, data modeling, and the visualization of insights within 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.
• Modeling data and defining relationships for analytics.
• Creating interactive dashboards to derive business insights.

Course Format

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

Course Customization Options

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

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 applications. This course equips SaaS teams with the necessary expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

This instructor-led, live training, available either online or onsite, is tailored for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within their SaaS ecosystems.

Upon completing this training, participants will be able to:

• Integrate WrenAI into customer-facing applications using the Embedded API.
• Implement white-label conversational BI features with custom branding and styling.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within 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.

Course Customization Options

• For customized training arrangements for this course, please contact us to discuss your requirements.

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

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

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

• Developing AI-enhanced spreadsheets for data analysis and reporting purposes.
• Utilizing the WrenAI Metrics Library to implement standardized Key Performance Indicators (KPIs).
• Linking spreadsheets to various data sources to ensure real-time data updates.
• Designing automated workflows to optimize operational reporting procedures.

Course Format

• Engaging lectures combined with interactive discussions.
• Practical, hands-on experience in building spreadsheets using WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customization Options

• For organizations seeking tailored training for this course, please reach out to us to make arrangements.