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Duration 21 hours
Course Outline
Getting to Know WrenAI OSS
- An overview of the WrenAI architecture.
- Essential open-source components and the broader ecosystem.
- Initial installation and configuration.
Semantic Modelling with Wren AI
- Constructing semantic layers.
- Developing reusable metrics and dimensions.
- Standards for maintaining consistency and long-term manageability.
Applying Text-to-SQL Techniques
- Translating natural language requests into SQL queries.
- Enhancing the precision of generated SQL.
- Addressing common issues and troubleshooting strategies.
Prompt Refinement and Optimisation
- Adjusting prompts for enterprise-scale datasets.
- Achieving a balance between accuracy and system performance.
Deploying Guardrails
- Mitigating risks associated with unsafe or expensive queries.
- Implementing validation and approval workflows.
- Considerations for governance and regulatory compliance.
Integrating WrenAI into Data Processes
- Incorporating Wren AI into automated pipelines.
- Linking with BI platforms and visualisation tools.
- Managing multi-user and enterprise-level deployments.
Complex Applications and Extensions
- Developing custom plugins and API connections.
- Augmenting WrenAI with additional ML models.
- Scaling operations for large-scale datasets.
Conclusion and Future Directions
Requirements
- Proficient command of SQL and database systems.
- Practical experience with data modelling and semantic layers.
- Working knowledge of machine learning or natural language processing principles.
Intended Audience
- Data engineers.
- Analytics engineers.
- ML engineers.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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