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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API capabilities and features
- Fundamentals of authentication and security
- Exploring the API documentation
Data Management and SQL Generation
- Submitting natural language queries
- Interpreting and validating generated SQL
- Optimizing SQL output for performance
Application Development with the API
- Connecting backend services to WrenAI
- Developing data-driven endpoints
- Implementing error handling and logging
Charting and Visualization via API
- Requesting chart objects through API calls
- Embedding charts within internal applications
- Customizing chart aesthetics and user interactions
Integration with Internal Tools
- Embedding dashboards in team portals
- Automating workflows using WrenAI endpoints
- Use cases for operations and reporting teams
Advanced Usage and Scalability
- Batch processing and bulk data queries
- Managing concurrency and rate limits
- Scaling integrations within enterprise environments
Security and Governance
- Managing API keys and access permissions
- Audit logging and compliance considerations
- Best practices for secure integrations
Future Roadmap and Extensions
- AI-assisted enhancements in query generation
- Expanding applications with advanced endpoints
- Exploring upcoming WrenAI features
Summary and Next Steps
Requirements
- Understanding of REST API architecture
- Experience with SQL databases
- Familiarity with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools teams
