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

This instructor-led, live training in Uzbekistan (online or on-site) 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:

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

AI is transforming how financial institutions assess creditworthiness, price risk, and optimise lending decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply 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:

• Understand key AI methods used in credit scoring and risk prediction.
• Build and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for 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 Customisation Options

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

Artificial Intelligence is a technology that enables the development of digital products with advanced data-driven capabilities and personalised customer experiences.

This instructor-led, live training (online or on-site), combined with asynchronous activities and in-person workshops, is designed for 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-centred solutions.
• Measure, iterate, and optimise product performance for sustained value.

Course Format

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

Course Customisation Options

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

AI is transforming 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) is aimed at intermediate-level professionals who wish 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.

AI in Financial Services serves as a strategic enabler for risk reduction, enhanced customer experience, and operational efficiency.

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 within their institutions.

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

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

Course Customisation Options

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

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level FinTech professionals who wish to explore the convergence 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-powered analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.

This instructor-led, live training (available online or on-site) is tailored for advanced-level enterprise professionals who aim to implement governance, compliance, and security patterns for WrenAI at scale.

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

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

Course Format

• Interactive lectures and group discussions.
• Hands-on labs focused on governance and security configurations.
• Practical exercises simulating real-world enterprise deployment scenarios.

Course Customisation Options

• To request a customised version of this course, please contact us to make arrangements.

WrenAI empowers organisations to move beyond static dashboards toward conversational analytics and embedded generative BI. This transition demands careful adoption planning, asset migration, and effective change management practices.

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

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

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

Course Format

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

Course Customisation Options

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

WrenAI transforms natural language into SQL and powers AI-driven analytics, making data access more intuitive and rapid. For enterprise deployments, rigorous quality assurance and observability standards are vital to guarantee accuracy, reliability, and regulatory compliance.

This live, instructor-led training (available online or onsite) is designed for advanced data and analytics professionals who aim to assess query precision, optimize prompts, and establish observability protocols for monitoring WrenAI in 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 performance drift and query patterns over time.
• Equip WrenAI with logging and observability frameworks.

Course Structure

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

Customization Options

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

The WrenAI API serves as a robust interface designed to convert natural language into SQL queries, facilitate the creation of custom applications, and embed visual charts within internal platforms.

This instructor-led training, available both online and on-site, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as generating SQL, visualizing data, and integrating applications.

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.
• Real-world projects that connect applications, charts, and data pipelines.

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange details.

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

This instructor-led, live training session, available either online or onsite, targets beginner to intermediate data professionals eager to master setting up WrenAI Cloud, modeling data, and visualizing insights through dashboards.

Upon completing this training, participants will be capable of:

• Setting up and configuring WrenAI Cloud environments.
• Linking WrenAI Cloud to various data sources.
• Modeling data and defining relationships for analytics.
• Creating interactive dashboards to derive business insights.

Format of the Course

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

Course Customization Options

• For a customized training version of this course, please contact us to arrange.

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

This instructor-led, live training (available online or onsite) is designed for advanced data engineers, analytics engineers, and ML engineers aiming to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical 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.

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

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

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

• Integrating WrenAI via the Embedded API for customer-facing applications.
• Implementing white-label conversational BI with tailored branding and customization.
• Designing secure and scalable multi-tenant deployments.
• Monitoring usage, optimizing performance, and ensuring 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.

Course Customization Options

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

WrenAI Spreadsheets and Metrics Library enable fast reporting through AI-powered spreadsheet workflows and a library of pre-built, cross-platform business metrics.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level operations professionals who aim to accelerate reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

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

• Build AI-powered spreadsheets for data analysis and reporting.
• Leverage the WrenAI Metrics Library for standardized KPIs.
• Connect spreadsheets to multiple data sources for live updates.
• Create automated workflows to streamline operational reporting.

Course Format

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

Customization Options

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