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

This instructor-led, live training in Bulgaria (online or on-site) 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.

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 for identifying fraudulent transactions.
• Utilize 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 training, available both online and onsite, is designed for finance professionals with intermediate-level expertise who seek to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

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

• Comprehend the core AI methodologies utilized 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 improve underwriting processes, loan approvals, and portfolio management.

Course Format

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

Options for Course Customization

• To arrange customized training for this course, please get in touch with us.

Artificial Intelligence empowers the creation of digital banking solutions featuring advanced, data-driven functionalities and highly personalized customer journeys.

This instructor-led, live training—available either online or onsite—integrates asynchronous learning modules with face-to-face workshops. It is designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-enhanced digital products.

Upon completing this training, participants will be equipped to:

• Pinpoint customer needs and establish a clear product vision.
• Utilize AI technologies to elevate digital banking offerings.
• Employ agile methodologies and design thinking to foster user-centric solutions.
• Measure, iterate on, and optimize product performance to ensure long-term value.

Course Format

• 50% synchronous sessions (delivered virtually or in-person).
• 25% asynchronous activities (including videos, reading materials, and discussion forums).
• 25% in-person practical workshops featuring case studies.

Customization Options

• For tailored training arrangements for this course, please contact us.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by enabling intelligent, real-time analysis of large-scale transaction data.

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals looking to leverage machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completing this training, participants will be able to:

• Gain a clear understanding of AI applications in fraud detection and AML monitoring.
• Design and deploy models for identifying anomalies and scoring transactions.
• Utilize graph-based AI to detect risks within networks.
• Ensure that model deployment adheres to ethical standards, offers explainability, and meets regulatory requirements.

Course Format

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

Customization Options

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

Artificial Intelligence serves as a key strategic driver for enhancing operational efficiency, improving customer experience, and mitigating risk within the financial sector.

This instructor-led live training, available both online and onsite, is designed for financial executives, fintech managers, and compliance officers who have limited prior experience with artificial intelligence. The program aims to help these professionals understand how to implement AI solutions responsibly and effectively within their organizations.

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

• Recognize the strategic value AI brings to financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the complex regulatory landscape governing AI in finance.
• Establish robust frameworks for AI governance and implementation.

Course Format

• Interactive lectures and group discussions.
• Analysis of case studies and collaborative exercises.
• Application of ethical frameworks to real-world financial scenarios.

Customization Options

• For information on customizing this training program, please contact us to discuss your needs.

Artificial intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalization, and secure, real-time financial services.

This instructor-led, live training session, available both online and onsite, is designed for beginner to intermediate FinTech professionals eager 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:

• Grasp how AI and machine learning are applied 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.
• Numerous exercises and practical activities.
• Hands-on implementation within a live lab environment.

Course Customization Options

• To request a customized training version of this course, please contact us to arrange it.

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 for 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.

By the end of 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.

Course Format

• 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 organizations to transition from static dashboards to conversational analytics and embedded generative BI. This shift demands strategic adoption planning, seamless asset migration, and robust change management practices.

This instructor-led live training (available online or onsite) targets intermediate BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

Upon completing this training, participants will be capable of:

• Assessing legacy BI environments to pinpoint modernization opportunities.
• Strategically planning and executing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Leading organizational change management initiatives for BI modernization.

Course Format

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

Customization Options

• For tailored training solutions, please reach out to us to arrange a schedule.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing its intuitiveness. For enterprise-level deployments, rigorous quality assurance and observability practices are critical to guaranteeing precision, dependability, and regulatory compliance.

This instructor-led, live training session (available online or on-site) is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt optimization techniques, and establish observability protocols to monitor WrenAI in production environments.

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

• Assess the precision and reliability of Natural Language to SQL outputs.
• Utilize prompt optimization strategies to enhance system performance.
• Track deviations and query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Training Structure

• Interactive lectures and discussions.
• Practical exercises focusing on evaluation and optimization techniques.
• Hands-on labs dedicated to observability and monitoring integrations.

Customization Options

• To arrange tailored training for this course, please get in touch with us.

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

This instructor-led, live training session, available online or on-site, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.

Upon completing this training, participants will be capable of:

• Authenticating and linking applications to the WrenAI API.
• Creating SQL queries from natural language inputs.
• Creating and embedding visualizations 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, visualizations, and data pipelines.

Customization Options

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

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

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate data professionals seeking to master setting up WrenAI Cloud, modeling data, and visualizing insights via dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to various data sources.
• Model data and establish relationships for analytics.
• Create interactive dashboards for business insights.

Format of the Course

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modeling.
• Practical exercises in dashboard building and visualization.

Course Customization Options

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

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

This instructor-led live training, available online or on-site, is designed for advanced-level data engineers, analytics engineers, and machine learning engineers who aim to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

• Implementing semantic models to ensure consistent metric definitions across various teams.
• Enhancing text-to-SQL performance to achieve higher accuracy and scalability.
• Configuring and enforcing safety guardrails to prevent invalid or hazardous queries.
• Seamlessly integrating WrenAI OSS into data pipelines and analytics workflows.

Course Format

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

Customization Options

• For those interested in a customized training session for this course, please contact us to arrange it.

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 embed generative business intelligence (GenBI) directly within their customer-facing products. This training program equips SaaS teams with the essential skills to integrate Wren AI via its Embedded API, configure white-label analytics solutions, and manage complex multi-tenant environments effectively.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to implement WrenAI as an embedded analytics solution within SaaS ecosystems.

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

• Integrate WrenAI using the Embedded API for applications used by customers.
• Implement white-label conversational BI with tailored branding and customization.
• Architect secure and scalable multi-tenant deployments.
• Monitor usage patterns, optimize performance, and ensure regulatory compliance within SaaS environments.

Course Format

• Interactive lectures and group discussions.
• Practical labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature tailored to a specific SaaS use case.

Course Customization Options

• To arrange customized training for this course, please contact us to discuss your specific needs.

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

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

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

• Construct AI-enhanced spreadsheets tailored for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized Key Performance Indicators (KPIs).
• Link spreadsheets with various data sources to ensure real-time updates.
• Develop automated workflows to streamline operational reporting efforts.

Format of the Course

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customization Options

• To request a customized training version of this course, please contact us to arrange it.