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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- A comprehensive overview of API features and potential capabilities
- Foundations of authentication and security protocols
- Navigating and utilizing the API documentation
Data Handling and SQL Generation
- Submitting natural language queries for processing
- Reviewing and validating the generated SQL code
- Refining SQL output to enhance performance
Developing Applications with the API
- Linking backend services with WrenAI
- Constructing endpoints that are driven by data
- Implementing robust error handling and logging strategies
Charting and Visualization via API
- Retrieving chart objects through API requests
- Incorporating charts into internal application interfaces
- Customizing chart aesthetics and user interactions
Integration with Internal Tools
- Embedding dashboards within team portals
- Streamlining workflows using WrenAI endpoints
- Practical applications for operations and reporting teams
Advanced Usage and Scaling Strategies
- Processing batch queries and bulk data operations
- Managing concurrency and adhering to rate limits
- Scaling integrations within enterprise-grade environments
Security and Governance
- Managing API keys and access permissions
- Considerations for audit logging and regulatory compliance
- Adopting best practices for secure integration methods
Future Roadmap and Extensions
- Enhancing query generation with AI-assisted improvements
- Expanding application functionality with advanced endpoints
- A look ahead at upcoming features in WrenAI
Summary and Next Steps
Requirements
- A solid grasp of REST APIs
- Hands-on experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams focused on internal tooling
