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Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities
- Authentication and security fundamentals
- Navigating the API documentation
Working with Data and SQL Generation
- Sending natural language queries
- Interpreting and validating generated SQL
- Optimising SQL outputs for performance
Building Applications with the API
- Connecting backend services to WrenAI
- Developing data-driven endpoints
- Error handling and logging
Charting and Visualisation via API
- Requesting chart objects through the API
- Embedding charts into internal applications
- Customising chart appearance and interactions
Integration with Internal Tools
- Embedding dashboards within team portals
- Automating workflows with WrenAI endpoints
- Use cases for operations and reporting teams
Advanced Usage and Scaling
- Batch queries and bulk data processing
- Handling concurrency and rate limits
- Scaling integrations in enterprise environments
Security and Governance
- Managing API keys and permissions
- Audit logging and compliance considerations
- Best practices for secure integrations
Future Roadmap and Extensions
- AI-assisted improvements in query generation
- Extending applications with advanced endpoints
- Exploring upcoming WrenAI features
Summary and Next Steps
Requirements
- Understanding of REST APIs
- Experience with SQL databases
- Familiarity with backend programming languages
Audience
- Backend engineers
- Platform engineers
- Teams responsible for internal tools
14 Hours
