Wren AI Fundamentals Training provides a comprehensive introduction to Wren AI as a conversational analytics and natural language interface for data. This course focuses on how Wren AI enables users to query databases using plain language, generate insights without complex SQL, and democratize data access across organizations. Participants will learn core concepts, use cases, and best practices for adopting Wren AI in data-driven environments.

• Understand the fundamentals and architecture of Wren AI
• Learn how to interact with data using natural language queries
• Explore AI-driven analytics, reporting, and data visualization capabilities
• Understand data connectivity, semantic layers, and workflow integration concepts
• Build basic AI-assisted data analysis and business insight workflows
• Identify practical enterprise use cases for AI-powered analytics solutions

• Business analysts and data analysts
• Product managers and operations teams
• Decision-makers and business leaders
• Data teams exploring conversational analytics
• Professionals seeking no-code data querying solutions

• Basic understanding of data and business metrics
• Familiarity with spreadsheets, dashboards, or BI tools
• No prior SQL or advanced technical knowledge required

• Understanding Wren AI concepts and capabilities
• Translating natural language into data queries
• Interpreting AI-generated insights and visualizations
• Applying Wren AI for faster business decision-making
• Following best practices for responsible data usage

By the end of this training, participants will be able to confidently use Wren AI to ask data questions in natural language, interpret AI-generated insights, and apply conversational analytics to real-world business scenarios, enabling faster and more informed decision-making.

Introduction to Wren AI and Conversational Analytics
• What is Wren AI and how it works
• Evolution of natural language querying in analytics
• Key benefits of conversational BI platforms

Wren AI Architecture and Data Connectivity
• How Wren AI connects to databases and data sources
• Understanding semantic layers and data models
• Security, permissions, and access control basics

Natural Language to SQL Concepts
• How AI converts questions into queries
• Handling ambiguity and context in user queries
• Best practices for asking effective questions

Exploring Data with Wren AI
• Generating reports and summaries
• Asking follow-up and contextual questions
• Validating AI-generated results

Business Use Cases with Wren AI
• Sales, marketing, and revenue analytics
• Operations and supply chain insights
• Finance and performance reporting

Improving Accuracy and Trust in AI Insights
• Reviewing and validating query outputs
• Managing data definitions and consistency
• Reducing errors and misinterpretation

Governance, Ethics, and Responsible Analytics
• Data privacy and compliance considerations
• Responsible use of AI-generated insights
• Organizational guidelines for AI analytics

Hands-on Practice and Demonstrations
• Live querying exercises using business scenarios
• Insight interpretation and storytelling
• Participant practice and feedback

• Fundamentals and components of Wren AI
• Natural language querying and AI-assisted analytics
• Data modeling and semantic layer concepts
• Dashboarding and reporting workflows
• AI-driven insight generation and visualization basics
• Practical use case or hands-on analytics exercise

• Participation in hands-on exercises
• Practical data querying assessment
• Insight interpretation review

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certificate in Wren AI Fundamentals Training, validating their ability to use conversational AI for data analytics and business insights.