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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Examining core API features and capabilities
- Understanding authentication and security fundamentals
- Navigating the API documentation effectively
Data Management and SQL Generation
- Submitting queries in natural language
- Reviewing and verifying generated SQL code
- Refining SQL output for optimal performance
Developing Applications with the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Implementing robust error handling and logging
Visualization and Charting via API
- Fetching chart objects through API requests
- Integrating charts into internal applications
- Tailoring chart aesthetics and user interactions
Integration with Internal Toolsets
- Displaying dashboards within team portals
- Streamlining workflows using WrenAI endpoints
- Applying solutions for operations and reporting teams
Advanced Implementation and Scaling
- Executing batch queries and processing bulk data
- Managing concurrency and adhering to rate limits
- Scaling integrations across enterprise environments
Security and Governance
- Oversight of API keys and access permissions
- Considerations for audit logs and compliance
- Best practices for secure API integrations
Future Developments and Extensions
- Enhancements in query generation via AI assistance
- Expanding application capabilities with advanced endpoints
- Anticipating upcoming WrenAI features
Conclusion and Future Directions
Requirements
- A solid grasp of REST APIs
- Practical experience with SQL databases
- Knowledge of backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools teams
