Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products Training Course

This comprehensive training course equips participants with the foundational knowledge and practical skills required to build, manage, and analyze business intelligence (BI) solutions using modern Microsoft technologies. The course focuses on SQL Server (2017/2019/2022 features) and Azure Analysis Services (AAS), covering the entire data analytics pipeline from data ingestion to visualization.

Participants will learn to design and implement modern data warehousing solutions, build robust ETL/ELT pipelines using SQL Server Integration Services (SSIS), create powerful analytical models using SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and develop insightful reports and visualizations. Emphasis is placed on leveraging in-memory technologies, cloud integration, and modern query languages.

This instructor-led, live training in Ireland (online or onsite) is aimed at intermediate-level database professionals who wish to enhance their skills to create complex reports, customize report templates, and integrate JasperReports with other systems.

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

• Design complex, multi-page reports with advanced layouts, fixed forms with variable sections, and dynamic content.
• Create advanced charts, graphs, and pivot tables to visualize data, and integrate subreports and grouping for detailed data representation.
• Implement security measures, manage user permissions, and utilize JasperReports Server for report scheduling and distribution.

This instructor-led, live training in Ireland (online or onsite) is aimed at beginner-level financial analysts who wish to integrate AI effectively into their data analysis processes.

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

• Understand the application of AI in data analysis specific to the financial industry.
• Develop skills to build predictive and prescriptive models for financial analysis.
• Learn how to implement machine learning algorithms for financial data processing.
• Enhance data visualization and interpret complex AI-driven insights for decision-making.

This instructor-led, live training in Ireland (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

This instructor-led, live training in Ireland (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization.

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

• Understand the basic concepts of AWS QuickSight.
• Use AWS QuickSight to create data analysis, reports, and insights.
• Use AWS to create relationships between data for enhanced analysis.
• Learn different types of visualizations in understanding data.

The "Big Data and AI in Banking" training program is designed to equip professionals in the banking industry with essential skills and knowledge to harness the power of Big Data and artificial intelligence. Participants will explore foundational concepts, technologies, and practical applications of Big Data and AI within the banking sector. The training will encompass a blend of theoretical instruction, case studies, hands-on sessions, and discussions on regulatory implications, ethical considerations, and best practices.

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

1. Understand Key Concepts: Provide participants with a foundational understanding of Big Data and AI, including their significance in the banking sector.
2. Explore Technologies: Familiarize attendees with core Big Data technologies, including Hadoop and Spark, and the relevance of NoSQL databases.
3. Leverage Data Sources: Teach participants to identify and utilize various internal and external data sources for effective banking operations.
4. Applications of AI: Illustrate the use of AI techniques in bank examinations, such as risk assessment, fraud detection, and predictive modeling.
5. Implement Data Analytics: Equip participants with the skills to apply data analytics methods for trend identification and risk management in banking contexts
6. Address Ethical Considerations: Discuss the ethical implications of using Big Data and AI in banking and the importance of compliance with regulations
7. Prepare for Future Trends: Prepare participants to navigate future innovations in technology and develop strategies for the integration of Big Data and AI into banking practices

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 (online or onsite) is aimed at advanced-level enterprise professionals who wish 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.

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 enables organizations to move beyond static dashboards toward conversational analytics and embedded generative BI. This transition requires careful adoption planning, migration of assets, and effective change management practices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level BI and data platform professionals who wish to modernize legacy BI systems with WrenAI.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with migration and adoption planning.
• Practical labs on conversational analytics and embedded GenBI.

Course Customization Options

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

WrenAI enables natural language to SQL generation and AI-powered analytics, making data access faster and more intuitive. For enterprise-grade use, quality assurance and observability practices are essential to ensure accuracy, reliability, and compliance.

This instructor-led, live training (online or onsite) is aimed at advanced-level data and analytics professionals who wish to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production.

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

• Evaluate the accuracy and reliability of NL to SQL outputs.
• Apply prompt tuning techniques to improve performance.
• Monitor drift and query behavior across time.
• Instrument WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with evaluation and tuning techniques.
• Practical labs on observability and monitoring integrations.

Course Customization Options

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

WrenAI API is a powerful interface for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to use the WrenAI API for practical applications, including SQL generation, visualization, and app integration.

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

• Authenticate and connect 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.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with 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 is a modern platform for connecting data sources, modeling data, and building interactive dashboards.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to multiple data sources.
• Model data and define 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 provides finance teams with the ability to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics in WrenAI.
• Build dashboards aligned with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with financial data models.
• Practical labs on dashboard design and compliance reporting.

Course Customization Options

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

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 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 (online or onsite) is aimed at beginner-level to intermediate-level operations professionals who wish 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.

Format of the Course

• Interactive lecture and discussion.
• Hands-on spreadsheet building with WrenAI.
• Practical exercises with metrics and KPI reporting.

Course Customization Options

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