Course Outline

Introduction to WrenAI OSS for Government

  • Overview of the WrenAI architecture
  • Key open-source components and ecosystem
  • Installation and setup procedures

Semantic Modeling in Wren AI for Government

  • Defining semantic layers to enhance data interpretation
  • Designing reusable metrics and dimensions for consistent reporting
  • Best practices for maintaining consistency and ensuring long-term maintainability

Text to SQL in Practice for Government

  • Mapping natural language queries to structured SQL commands
  • Strategies for improving the accuracy of generated SQL
  • Common challenges and methods for effective troubleshooting

Prompt Tuning and Optimization for Government

  • Advanced prompt engineering techniques
  • Fine-tuning models to optimize performance on government datasets
  • Balancing accuracy with computational efficiency

Implementing Guardrails for Government

  • Measures to prevent unsafe or resource-intensive queries
  • Implementation of validation and approval processes
  • Governance and compliance considerations specific to government operations

Integrating WrenAI into Data Workflows for Government

  • Embedding Wren AI in data processing pipelines
  • Connecting with business intelligence and visualization tools
  • Strategies for multi-user and enterprise-level deployments within government agencies

Advanced Use Cases and Extensions for Government

  • Developing custom plugins and API integrations to meet specific needs
  • Extending WrenAI capabilities with machine learning models
  • Scaling the solution for handling large government datasets

Summary and Next Steps for Government

Requirements

  • A strong understanding of SQL and database systems for government applications.
  • Experience with data modeling and semantic layers to support public sector workflows.
  • Familiarity with machine learning or natural language processing concepts to enhance governance and accountability.

Audience

  • Data engineers for government
  • Analytics engineers for government
  • ML engineers for government
 21 Hours

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