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Duration 21 hours
Course Outline
Getting Started with WrenAI OSS
- Overview of WrenAI architecture
- Essential OSS components and ecosystem
- Installation and configuration
Semantic Modeling with Wren AI
- Establishing semantic layers
- Creating reusable metrics and dimensions
- Best practices for ensuring consistency and ease of maintenance
Text-to-SQL in Action
- Translating natural language into database queries
- Boosting the accuracy of SQL generation
- Addressing common challenges and debugging issues
Prompt Tuning and Refinement
- Effective prompt engineering techniques
- Fine-tuning for enterprise-scale datasets
- Finding the balance between precision and speed
Setting Up Guardrails
- Avoiding unsafe or resource-intensive queries
- Implementing validation and approval processes
- Considering governance and compliance requirements
Incorporating WrenAI into Data Workflows
- Integrating Wren AI into data pipelines
- Linking with BI and visualization platforms
- Managing multi-user and enterprise environments
Advanced Applications and Extensions
- Custom plugins and API connections
- Enhancing WrenAI with additional ML models
- Scaling for extensive datasets
Recap and Future Steps
Requirements
- Solid grasp of SQL and database systems
- Practical experience with data modeling and semantic layers
- Familiarity with machine learning or natural language processing principles
Target 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 4800 € + VAT*
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