Course Outline

Introduction to WrenAI Open Source Software (OSS)

  • Overview of the WrenAI Architecture
  • Key OSS Components and Ecosystem
  • Installation and Setup for Government Use

Semantic Modeling in Wren AI

  • Defining Semantic Layers for Data Interpretation
  • Designing Reusable Metrics and Dimensions for Consistency
  • Best Practices for Ensuring Maintainability and Reliability

Text to SQL in Practice

  • Mapping Natural Language Queries to Structured SQL Statements
  • Enhancing the Accuracy of SQL Generation for Reliable Results
  • Addressing Common Challenges and Troubleshooting Issues

Prompt Tuning and Optimization

  • Strategies for Effective Prompt Engineering
  • Fine-Tuning Models to Optimize Performance with Enterprise Datasets
  • Balancing Accuracy and Performance in Government Applications

Implementing Guardrails for Security and Efficiency

  • Preventing Unsafe or Costly Queries in Government Systems
  • Establishing Validation and Approval Mechanisms for Query Execution
  • Governance and Compliance Considerations for Secure Operations

Integrating WrenAI into Data Workflows for Government

  • Embedding Wren AI in Data Pipelines to Enhance Efficiency
  • Connecting to Business Intelligence and Visualization Tools for Enhanced Insights
  • Multi-User and Enterprise Deployments for Scalable Solutions

Advanced Use Cases and Extensions for Government Applications

  • Developing Custom Plugins and API Integrations to Meet Specific Needs
  • Extending WrenAI with Machine Learning Models for Advanced Analytics
  • Scaling the Solution for Large Datasets and High-Volume Operations

Summary and Next Steps

Requirements

  • Proficient in SQL and database management systems for government applications
  • Experience with data modeling and semantic layers to enhance data integrity and usability
  • Familiarity with machine learning or natural language processing techniques to support advanced analytics

Audience for Government Use

  • Data engineers responsible for managing and optimizing data infrastructure
  • Analytics engineers tasked with transforming raw data into actionable insights
  • Machine learning engineers focused on developing and deploying predictive models
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails

2026-02-18 09:30
21 hours
San Diego, CA - Little Italy
$ 4054 (Online)
$ 5854 (Classroom)

WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails

2026-03-04 09:30
21 hours
Sacramento, CA - Promenade Circle
$ 4054 (Online)
$ 5854 (Classroom)

WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails

2026-03-18 09:30
21 hours
Los Angeles, CA - US Bank Tower
$ 4054 (Online)
$ 5854 (Classroom)

WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails

2026-04-01 09:30
21 hours
San Francisco, CA - Golden Gate
$ 4054 (Online)
$ 5854 (Classroom)

WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails

2026-04-15 09:30
21 hours
Denver, CO - Denver Place
$ 4054 (Online)
$ 5854 (Classroom)

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