WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails Training Course
WrenAI is an open-source generative Business Intelligence (BI) tool that facilitates the conversion of natural language into SQL and supports semantic data modelling.
This instructor-led live training, available either online or onsite, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and guarantee reliable SQL generation.
Upon completion of this training, participants will be able to:
- Implement semantic models to establish consistent metric definitions across teams.
- Optimize text-to-SQL performance to ensure accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS into data pipelines and analytics workflows.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practical sessions.
- Hands-on implementation within a live laboratory environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction to WrenAI OSS
- Overview of WrenAI architecture
- Key OSS components and ecosystem
- Installation and setup
Semantic Modelling in Wren AI
- Defining semantic layers
- Designing reusable metrics and dimensions
- Best practices for consistency and maintainability
Text to SQL in Practice
- Mapping natural language to queries
- Improving SQL generation accuracy
- Common challenges and troubleshooting
Prompt Tuning and Optimization
- Prompt engineering strategies
- Fine-tuning for enterprise datasets
- Balancing accuracy and performance
Implementing Guardrails
- Preventing unsafe or costly queries
- Validation and approval mechanisms
- Governance and compliance considerations
Integrating WrenAI into Data Workflows
- Embedding Wren AI in pipelines
- Connecting to BI and visualization tools
- Multi-user and enterprise deployments
Advanced Use Cases and Extensions
- Custom plugins and API integrations
- Extending WrenAI with ML models
- Scaling for large datasets
Summary and Next Steps
Requirements
- Strong understanding of SQL and database systems
- Experience with data modelling and semantic layers
- Familiarity with machine learning or natural language processing concepts
Audience
- Data engineers
- Analytics engineers
- ML engineers
Need help picking the right course?
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WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails Training Course - Enquiry
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